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[NEW] Ultimate AWS Certified AI Practitioner AIF-C01 | Udemy [Update 06/2026] English | Size: Genre: eLearning Practice Exam included + explanations | Learn Artificial Intelligence | Pass the AWS AI Practitioner AIF-C01 exam! What you'll learn: Pass the AWS Certified AI Practitioner Certification AIF-C01 Practice Exam with Explanations included! Learn the Fundamentals of Artificial Intelligence, Machine Learning, Deep Learning & Generative AI Learn the key AWS AI services, including a deep dive on Bedrock, Amazon Q and SageMaker Learn Prompt Engineering All 200+ slides available as downloadable PDF This course covers the newest AIF-C01 exam. The course is fully updated based on the exam guide! Welcome!I'm here to help you prepare and PASS the newest AWS Certified AI Practitioner exam. Beginners welcome:no need to know anything about AWS and Artificial Intelligence! The AWS Certified AI Practitioner certification is a great entry-level certification for Artificial Intelligence on AWS . It's great at assessing how well you understand AI on AWS: its services and its ecosystem. I want to help YOU pass the AWS Certified AI Practitioner certification with flying colors . This AWS Certified AI Practitioner course is different from the other ones you'll find on Udemy. Dare I say, better (but you'll judge!) It covers in-depth all theAI topics on the AWS Certified Cloud Practitioner AIF-C01 exam It's packed with practical knowledge on how to use AWS AI services inside and out We are going to learn by doing It teaches you how to prepare for the AWS exam It's a logical progression of topics , not a laundry list of random services It'sfast-paced and to the point It has professional subtitles All 200+ slides available as downloadable PDF This AWS Certified AI Practitioner course is full of opportunities to apply your knowledge: There are many hands-on lectures in every section There are quizzes at the end of every section There's an AWS Certified AI Practitioner practice exam at the end of the course We'll be using the AWS Free Tier whenever possible, and minimize cost where necessary I'll be showing you how to go beyond the AWS Free Tier (you know... the real world!) Instructor My name is Stéphane Maarek,I am passionate about AI Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS. I have already taught 2,500,000+ students and gotten 700,000+ reviews throughout my career in designing and delivering these certifications and courses! With AWS becoming the centerpiece of today's modern IT architectures, I've decided it's time for students to learn how to be an AWS AI Practitioner. So, let's kick start the course! You are in good hands! This course also comes with: Lifetime access to all future updates A responsive instructor in the Q&A Section Udemy Certificate of Completion Ready for Download A 30 Day "No Questions Asked" Money Back Guarantee! Join me in this course if you want to pass the AWS Certified AI Practitioner Exam and master the AWS platform! Who this course is for: Anyone wanting to acquire the knowledge to pass the AWS Certified AI Practitioner Certification Having an IT background will strongly help DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Mastering Geospatial Data Science: From Beginner to Expert Specialization | Coursera [Update 06/2026] English | Size: Genre: eLearning Learn Geospatial Data Science from Scratch. Build GIS, Python, and spatial analysis skills with hands-on projects and real-world tools. What you'll learn Apply GIS concepts and process vector and raster data using Python tools Use QGIS, PostGIS, and GeoPandas for spatial analysis and data management Build interactive maps and visualize geospatial data using web and cloud tools Apply machine learning and data engineering techniques to geospatial workflows Specialization - 6 course series Start your journey into geospatial data science and build skills used to analyze, visualize, and manage spatial data. This beginner-friendly program guides you from core GIS concepts to modern geospatial workflows using industry tools and technologies. You'll begin with spatial fundamentals, including coordinate systems, vector data, and Python-based geospatial analysis using GeoPandas. As you progress, you'll learn desktop GIS with QGIS, automate workflows with PyQGIS, and work with spatial databases using PostGIS. The program then introduces raster processing and remote sensing, where you'll analyze satellite imagery using Rasterio and GDAL. You'll also learn to design maps, build interactive web maps, and use cloud-based tools like Google Earth Engine. In later courses, you'll explore spatial analysis, 3D data using LiDAR, and machine learning techniques for geospatial data. Finally, you'll work with cloud platforms, build ETL pipelines, process real-time data streams, and analyze climate datasets. Applied Learning Project Build real-world experience through guided, hands-on projects integrated across the program. You'll complete projects in desktop GIS and spatial databases, remote sensing analysis, web mapping and visualization, and geospatial machine learning. Each project focuses on applying the tools and techniques learned in the courses-such as QGIS, GeoPandas, PostGIS, Rasterio, GDAL, and Google Earth Engine-to solve practical spatial problems. The program concludes with a capstone project in geospatial data engineering, where you'll work with cloud platforms, automate ETL pipelines, process streaming geospatial data, and analyze climate-related datasets. These projects help you build a portfolio that demonstrates your ability to work across the full geospatial data workflow. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

MBA in Product Management : Be a Product Manager ( 2026) | Udemy [Update 05/2026] English | Size: Genre: eLearning Master Product Management: 20+ Hours of Lessons, Case Studies, and Hands-on Projects What you'll learn: Introduction to Product Management Understanding the role and responsibilities of a product manager. Identifying the key skills and qualities of a successful product manager. Overview of the product lifecycle stages. Understanding the different phases of product development and management. Learning how to effectively manage products throughout their lifecycle. Conducting market research to identify customer needs and preferences. Analyzing market trends and competitive landscape. Utilizing market research data to make informed product decisions. Defining Product Vision and Strategy Developing a clear product vision statement. Formulating product strategies aligned with business goals. Setting product roadmap and prioritizing features. Explore product essence, problem-solving, and varied Product Manager roles. Dive into dynamic product team principles and real-world problem-solving. Craft a potent product vision, charter, and a step-by-step strategy. Master agile methodologies, including the Agile Manifesto and JIRA. Data-driven decision-making skills, product analytics, and the North Star Metric. Excel in Microsoft Excel with pivot tables, VLOOKUP, and charts. Demystify tech aspects: internet protocols, web app development, and APIs. Apply knowledge practically with workbook problem-solving, Sprint Planning, and web app creation. Grasp the basics of cloud computing, servers vs. clients, and front-end vs. back-end technology. Build a portfolio for transitioning into Product Management. Ace Product Manager interviews with confidence and competence. Excel beyond hiring, ensuring success in the dynamic field. Sketch wireframes with pen and paper, use Balsamiq, and digitize with POP. Find potential interviewees, structure interviews, and avoid bias. Uncover and analyze customer pain points comprehensively. Product Management & Product Ownership Breaking into Product Management with Non-Traditional Background Product Management & Product Ownership Product Management Models & Measurements Systems Thinking for Product Managers & Product Designers Using the Jobs To Be Done Methodology Fuel your career with our "MBA in Product Management" course. From mastering product basics to strategic planning, agile methodologies, analytics, and tech insights, this program is your fast track to becoming a standout product manager. Start your transformation now! In the initial section, lay the groundwork by exploring the essence of a product, problem-solving approaches, and the crucial role of a Product Manager. Dive into the dynamics of the product team and gain insights into the essentials of building exceptional products. 1. What is a Product? 2. Let's Solve a Problem 3. Who is a Product Manager? 4. Types of Product Managers 5. Let's Talk about the Product Team 6. How Does One Build a Great Product? 7. Let's Solve a Product Problem for UBER 8. The Product Team: Roles & Responsibilities 9. Pick a Product 10. Product Development Life Cycle _Assignment 1:_ Download and solve the workbook to apply your newfound knowledge. Section 2: Crafting Product Vision & Strategy Delve into the strategic aspects of product management, understanding the significance of a product charter, and building a robust product strategy. Uncover the step-by-step process of outlining problems, defining customers, and creating a differentiating product vision. 1. Introduction to Strategy and Product Charter 2. Product Vision Board 3. STEP 1: Outline the Problem 4. STEP 2: Define Your Customer 5. STEP 3: Define Your Market Size 6. STEP 4: Define Product Goal 7. STEP 5: Product Differentiation 8. STEP 6: Own Success Metrics 9. STEP 7: Create a Feature Breakdown 10. Summarizing Product Strategy Section 3: Product Planning and Release Management Navigate through the agile landscape, understand scrum methodologies, and master the art of product planning and release management using JIRA software. Learn the intricacies of backlog refinement, sprint planning, and crafting efficient user stories. 1. Agile Manifesto and 12 Principles 2. Agile and Waterfall Project Management Methodologies 3. Scrum Events, Workflows, and Artifacts 4. Introduction to Product Roadmap and Delivery 5. Introduction to JIRA Software 6. Crafting Backlog Items for Sprint in JIRA 7. Roadmap in JIRA, Features, User Stories, and Tasks in JIRA 8. Product Goals, Features, and User Stories 9. Product Backlog Refinement 10. Story Mapping _Assignment 2:_ Utilize the Sprint Planning Excel Template to hone your planning skills. Section 4: Leveraging Product Analytics for Decision-Making Equip yourself with the skills to make data-driven decisions by exploring various product analytics tools. Learn to measure product value, understand user behavior, and dissect key metrics that drive product success. 1. Introduction to User Behavior Tracking 2. Marketing Analytics Vs Product Analytics 3. Introduction to Product Analytics in Mixpanel 4. How to Measure Product Value 5. Types of Users and User Cohorts 6. Value Moment and Value Exchange 7. Product Metrics and User Journey 8. North Star Metric 9. Introduction to Google Analytics 10. Understand Mixpanel Insight, Funnels, and User Cohorts in Mixpanel Section 5: Microsoft Excel for Product Managers Excel in using Microsoft Excel! Discover the power of pivot tables, vlookup, and various charts to analyze and present product-related data effectively. 1. Introduction to Microsoft Excel 2. How to Use Pivot Table in Excel 3. Vlookup in Excel 4. Types of Charts Section 6: Technology for Product Managers Demystify the technological aspects of product management. Gain insights into internet workings, DNS, ISP, client-server models, webpage components, and web app development with HTML, CSS, and JavaScript. 1. How Does Your Internet Work? 2. What is DNS and Who are ISPs? 3. Client-Server Model 4. Internet Protocols 5. Introduction to Webpage 6. HTML, CSS, and JS on a Webpage 7. Introduction to Figma 8. Weather App UI in Figma 9. CSS Box Model 10. Building Weather App with HTML, CSS, and JavaScript 11. Explain API Like I Am 5 12. Real-World Example of APIs 13. Everything About APIs and Postman _Assignment 3:_ Apply your knowledge by building a web app independently. Embark on this educational journey and transform into a proficient product manager. Start your learning adventure today! Who this course is for: Marketing and Sales Professionals Aspiring Product Managers Associate Product Managers Professionals transitioning into Product Management Project Managers Operation and supply chain manager Program manager looking to transitioning into Product Management Business Strategists and Data Analysts Agile Enthusiasts DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

The Complete Product Management Fundamentals Course | Udemy [Update 03/2026] English | Size: Genre: eLearning Product Management CERTIFICATION. Product Management Essentials and Product Management Fundamentals to become a PM What you'll learn: Product Management Essentials & Fundamentals Agile Essentials & Fundamentals Agile Principles and Techniques What you need to know to become a Product Manager Product Management Skills Product Management Tools How to kick-start your career in Product Management Key Product Management Concepts Product Roadmapping Experimentation Metrics & Analytics Market Research Stakeholder Management Job Market & Opportunities The Complete Product Management Fundamentals Course + CERTIFICATION is a comprehensive Product Management Training that has been designed to help you master the most important concepts, tools and techniques in Product Management. Whether you're preparing for a Product Management interview, getting ready to launch your career in Product Management or exploring the fascinating world of Product Management this course has been designed from the ground up with a focus on quality, solid fundamentals & the most important aspects any Product Manager needs to consider. We will unpack key Product Management concepts, you'll see real world examples of Product Management in action & you'll hear directly from successful Product Managers . But we'll go beyond that into tools that Product Managers use in their role as well as the tips & tricks that characterize successful Product Managers. My name is Mauricio and I'm a Product Manager, but like a good Product Manager I'm used to wearing many hats. I manage my own Products now reaching over half a million customers worldwide. I also coach and mentor other Product Managers, regularly answer Product Management questions on Quora and have helped many companies successfully launch their own products. But most importantly, Product Management is part of my daily life where I lead Agile teams to regularly launch new product features, new product lines and even new products and services . So I understand what it takes to excel in the job and I will teach you everything I know about it. No catch and I'm not going to hold back. On the contrary, I will openly share with you what has worked for me and what hasn't and will even walk you through some of my own products. If there is one thing you should know about me, is that I'm here to help you and I will do everything in my power to ensure you become an outstanding Product Manager. This course, is only the beginning. By the time you complete it, I will share with you free additional educational resources to continue strengthening your Product Management skills. __________ Why you're here You understand that being a Product Manager puts you in a position of HUGE POTENTIAL You understand that Product Managers have massive salaries & would like to get into this amazing role You want to explore more about Product Management You're curious about Product Management You've heard about Product Management but you don't really know what it is or what it entails Somebody recommended this course to you A colleague at the office said this is a must take course for you You want to ace your next Product Management Interview You want to step with confidence into a new Product Management role You want to learn from others who have walked the path & can share valuable insights and information You want to leverage on the templates, resources, vast expertise and experience from a seasoned Product Manager You're a Creator but need Product Management training to ensure you're products are successful in the market You're about to step into the role of a Product Manager but don't know exactly what to expect or how you'll handle it You want to transition from your current role into Product Management What will I learn in this course? What you need to know to become a Product Manager Product Management Essentials & Fundamentals Agile Essentials and Fundamentals How to use key tools Product Managers use regularly Product Management lingo Product Management Skills Product Management Tools How to kick-start your career in Product Management How to succeed as a Product Manager Key Product Management Concepts Product Roadmapping Experimentation Metrics & Analytics Market Research Stakeholder Management Job Market & Opportunities __________ Why take this course and not another one? It's a Complete Course. So it's comprehensive and deep dives into key Product Management Tools and Concepts. Over half a million customers worldwide trust our products and services, in this course you'll learn why. It was developed by a seasoned and highly successful Product Manager -feel free to refer to my bio and track record You will increase your chances of getting the job It includes a ton of resources, templates and freebies It was created by the founder of The Product & Project Management Knowledge Base -thePMKB It was created by the author of The Mini Book of Agile and founder of AgileKB We'll talk about what works, but also what doesn't & I'll provide specific examples of both scenarios for your own analysis __________ This course is specifically for: Beginners Aspiring Product Managers People interested in Product Management Anyone looking to get a job in Product Management Anyone wanting to transition into Product Management Entrepreneurs Professionals This course is NOT suitable for: Intermediate to advanced students Experienced Product Managers People that prefer quantity over quality. People that like lengthy and theoretical explanations. People who aren't prepared to go through the entire course and take notes. People who expect things to work out without any effort or preparation. __________ Why get into Product Management Because you're passionate about creating products, solving problems and helping users Because it's a highly fulfilling job and no two days are alike Because you're naturally passionate about building products Because you have a natural ability for solving problems You want to influence the strategic direction of a product You enjoy working with people from all areas of the business __________ Pledge to All Students (both current & future students) 1. Students First. I will never compromise your experience to make money. Never, ever.Yes, this is also a business but to me teaching goes way beyond making money. I already have a full time job and fortunately don't rely on teaching to survive. You are always at the forefront of my courses and I want to ensure you have a unique, valuable and memorable experience. I promise. 2. 24x7x365 Support. You can contact me 24 hours a day, 7 days a week, year round, even on holidays, Christmas and New Years Eve;I will get back to you quickly(in a few hours tops) and deliver outstanding quality of service in my support. I promise. 3. Humbleness, kindness and social responsibility. I believe in giving back to you and the world. So think of me as your own real-life human"Siri." If you need advice or support just ask.And if I can do something to help you in your journey, I will.I promise. 4. Australian Made. Recognized in the Industry as a symbol of quality and excellence. All my courses are Made in Australia with high tech and professionally edited. They also include my secret sauce: a lot of passion & love! I also apply in my courses everything I've learnt from years of experience working with technology, projects, entrepreneurs and people all over the world. I promise. 5. Quality over Quantity. I will strive to make courses concise, to the point and relevant. Time is one of our most valuable assets and we need to invest it carefully. So I won't make a course long for the purpose of displaying it has more hours; only when strictly necessary.To me it's about quality and if I can deliver that in 5 minutes and save you time, I will. I promise. Who this course is for: Beginners Aspiring Product Managers People interested in Product Management Anyone looking to get a job in Product Management Anyone wanting to transition into Product Management Entrepreneurs Professionals Creators Indie Hackers Small Business Owners Business Owners DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

OpenTelemetry for Observability: The Complete Course | Udemy [Update 03/2026] English | Size: Genre: eLearning Learn Observability, Instrument REST APIs, Distributed Systems, Kubernetes, Learn Best-Practices for Production Systems! What you'll learn: Define SLIs, SLOs, and SLAs and use error budgets to balance reliability with development velocity Deploy a local observability stack with Prometheus, Loki, Tempo, and Grafana Instrument NodeJS and Python applications with all three observability signals Implement distributed context propagation across asynchronous service boundaries Apply automatic instrumentation to capture framework-level metrics, logs, and traces with minimal code Create custom metrics using counters and histograms to track business-level events Build custom spans with attributes and error handling for precise trace visibility into business logic Configure structured logging with automatic trace context injection for consistent cross-signal correlation Configure the OpenTelemetry Collector as a vendor-agnostic telemetry pipeline Use the exporter pattern to collect metrics from third-party services without native OpenTelemetry support Write Kubernetes manifests for both application services and the full observability stack Manage multi-namespace Kubernetes deployments with Kustomize for consistent, reproducible releases Verify end-to-end telemetry data flowing correctly through a live Kubernetes cluster Welcome to OpenTelemetry for Observability: The Complete Course! Are you ready to take full control of your distributed systems and build the production-grade observability platform your applications deserve? This course is designed to take you from observability fundamentals to a fully instrumented, Kubernetes-deployed system - using OpenTelemetry, Prometheus, Loki, Tempo, and Grafana. Why Learn OpenTelemetry and Observability? Modern software systems are distributed, dynamic, and complex. When something breaks in production, you need answers fast - and the difference between a five-minute fix and a five-hour outage often comes down to how well your system is instrumented. Here is why mastering OpenTelemetry and observability is essential right now: OpenTelemetry Is the Industry Standard for Telemetry: OpenTelemetry is a CNCF-graduated project and the vendor-neutral standard for generating and collecting observability data. It is rapidly replacing proprietary instrumentation SDKs across the industry. Learning OpenTelemetry means your instrumentation code is portable across any backend - Prometheus, Grafana Cloud, Datadog, Honeycomb, and beyond - without rewriting a single line. Metrics, Logs, and Traces Are No Longer Optional: Observability is not a nice-to-have anymore. Engineering organizations operating distributed systems rely on correlated metrics, logs, and traces to detect issues, diagnose root causes, and validate reliability targets. Teams that instrument their systems correctly ship with confidence. Prometheus and Grafana Are the Backbone of Cloud-Native Observability: Prometheus is the de facto standard for metrics collection in Kubernetes environments. Grafana is the leading visualization and exploration platform across all three signal types. Together with Loki for logs and Tempo for traces, they form a complete open-source observability stack that is production-proven at scale (and entirely free to use!). Distributed Tracing Solves the Problems Metrics Alone Cannot: When a request fails or slows down in a system with multiple services, metrics tell you something is wrong, but traces tell you exactly where and why. OpenTelemetry distributed tracing gives you end-to-end visibility across service boundaries, including asynchronous message queue patterns where traditional tracing tools fall short. High Market Demand for Observability Skills: As organizations shift to microservices, platform engineering, and SRE practices, the demand for engineers who understand SLIs, SLOs, error budgets, and modern instrumentation is accelerating. Observability expertise consistently differentiates candidates for senior DevOps, platform, and SRE roles. By investing time in this course, you are building one of the most practical and transferable skill sets in modern software engineering: skills that apply regardless of the language, framework, or cloud provider your team uses. Why Should You Choose This Course? This course goes far beyond a surface-level introduction to OpenTelemetry. You will build and instrument a real distributed application end-to-end, using the same tools and workflows used in production environments today. Learn by Doing with Extensive Hands-On Labs: Every concept in this course is immediately followed by a practical lab. You will instrument real code, deploy real infrastructure, and debug real issues. I provide the task, give you space to try it yourself, and then walk through the solution step by step. Instrument a Real Distributed Application: We do not instrument a toy "Hello World" app. The course target is a distributed translation application with a Node.js frontend, a Python background worker, and a Redis queue. This multi-language, asynchronous architecture represents the kind of real-world complexity where observability truly matters. Complete Coverage of All Three Observability Signals: Most courses focus on one signal type. This course covers metrics, logs, and traces in equal depth, including both automatic and manual instrumentation for each, applied to both services in the system. Distributed Context Propagation Across Async Boundaries: One of the most challenging and most valuable skills in observability engineering is connecting traces across services that communicate asynchronously. This course tackles that challenge directly, walking you through bidirectional context propagation across a message queue so that a single end-to-end trace spans the entire system. AI-Assisted Workflows Integrated Throughout: From auditing Kubernetes manifests to diagnosing deployment bugs, the course integrates AI tooling in a practical and realistic way. You will see how to use AI assistants to accelerate instrumentation, improve manifest quality, and speed up root cause analysis. Kubernetes Deployment Included: The course does not stop at local development. You will migrate the full application and observability stack to Kubernetes using Kustomize, deploy to a live cluster, and verify that all three observability signals are flowing correctly in a real production-like environment. Which Skills Will You Acquire During This Course? As you progress through the lectures and labs, you will gain a comprehensive set of observability and instrumentation skills, including: Building an Observability Stack from Scratch: You will deploy and connect Prometheus, Loki, Tempo, and Grafana, configure the OpenTelemetry Collector as a centralized telemetry pipeline, and verify that the full stack is operational before writing a single line of instrumentation code. Defining Reliability Targets with SLIs, SLOs, and SLAs: You will learn to define user-centric Service Level Indicators, set Service Level Objectives as internal reliability targets, understand the difference between SLOs and contractual SLAs, and use error budgets to make informed decisions about deployment velocity versus stability. Applying OpenTelemetry Automatic Instrumentation: You will enable automatic instrumentation for Node.js and Python services to capture framework-level metrics, logs, and traces with minimal code changes, giving you broad observability coverage as a starting point for both services. Creating Custom Metrics with Counters and Histograms: You will implement manual metrics instrumentation to capture domain-specific business events that automatic instrumentation cannot surface. You will add dimensional labels to your metrics and explore them in Prometheus using PromQL. Building Custom Spans for Business Logic Tracing: You will create manual OpenTelemetry spans to trace business-level operations inside your services, set span attributes and error status, and manage span lifecycle correctly to produce accurate, informative traces visible in Grafana Tempo. Configuring Structured Logging with Trace Context Injection: You will replace unstructured log output with structured logging integrated with the OpenTelemetry SDK so that every log entry automatically carries trace context. You will then configure log-trace correlation in Grafana for one-click navigation between a log entry and its corresponding trace. Implementing Distributed Context Propagation: You will manually inject and extract trace context across an asynchronous message queue boundary to connect frontend and worker spans into a single end-to-end trace. You will implement the full round trip and verify the complete trace in Grafana Tempo. Using the Exporter Pattern for Third-Party Services: You will deploy a Redis exporter as a sidecar to collect operational metrics from Redis, which has no native OpenTelemetry support, and expose those metrics to Prometheus. This pattern applies to any third-party service in your stack. Deploying to Kubernetes with Kustomize: You will write Kubernetes manifests for the full application and observability stack, manage multi-namespace configuration with Kustomize, deploy to a local cluster, diagnose and fix telemetry collection bugs, and verify end-to-end signal flow through a live Kubernetes environment. Get ready to build the observability platform your distributed systems deserve. Whether you are an engineer who has never written a span in your life or a practitioner looking to master OpenTelemetry properly, this course will give you the depth, the practice, and the confidence to instrument any system, in any language, on any platform. Let's get started! Who this course is for: Software Engineers who want to add production-grade observability to their applications DevOps and Platform Engineers who want to take their Monitoring and Observability skills to the next level Site Reliability Engineers looking to improve incident response and reduce mean time to resolution Anyone looking to gain a solid foundation on Observability and OpenTelemetry DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Meta Full Stack Developer: Front-End & Back-End from Scratch Specialization | Coursera [Update 06/2026] English | Size: Genre: eLearning Learn and Master Full-Stack Web Development. Master both front-end and back-end skills to build web apps end-to-end What you'll learn Explain the responsibilities of a full-stack developer and the core technologies used in web development. Implement programs using Python syntax, variables, data types, conditional statements, loops and functions. Build a functional Django web application incorporating databases, views, routes and user authentication. Develop interactive front-end application features using HTML, CSS, Javascript, and React. Specialization - 10 course series Through this program, you'll gain hands-on experience with core full-stack web development technologies including Python, Javascript, HTML, CSS, React, and Django. Begin your learning path with a solid foundation in front-end development. From basic DOM manipulation to advanced concepts in React, you'll learn how to create interactive and engaging webpages and single page applications. You'll also master HTML and CSS, ensuring you can craft visually appealing and responsive web designs. You'll then transition into back-end development, explore its ecosystem, and master Python programming and database management. You'll then learn about the Django web framework as well as how to create robust server-side applications and RESTful APIs. As you progress, you'll gain hands-on experience with Git, Github, and collaborative development practices essential for modern software engineering in teams throughout the program. Expert instructors will guide you through the entire full-stack development process, providing demos, projects and examples at every step. By the end of the program, you'll have developed a well-rounded skill set covering both back-end and front-end technologies and built a portfolio that demonstrates your ability to create full-stack web applications using Python, JavaScript, Django, and React. Whether you're looking to start a new career or enhance your existing skills, this program will prepare you for success in the dynamic field of web development. Applied Learning Project This program includes instructions and many practice-based assessments that will help you simulate relevant real-world scenarios that are critical for full-stack development success. It will teach you how to build full-stack applications with Python, Javascript, Django, and Javascript. These assessments and projects may include: Build responsive web pages using HTML, CSS and Bootstrap Manage code version control with Git and Github Construct interactive front-end UIs using React Combine your front-end and back-end skills to create and deploy complete web applications Design databases and retrieve data from databases with SQL Create a back-end application using Python and Django Build and document a REST API DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Digital Marketing Masterclass 2026: AI Marketing Course | Udemy [Update 05/2026] English | Size: Genre: eLearning Complete Digital Marketing Course: AI Content Marketing, ChatGPT, Social Media Marketing, SEO, Meta Ads, Email Marketing What you'll learn: Master Digital Marketing in 2026 with AI: ChatGPT, Claude, Gemini, Perplexity & 100+ AI tools Build a complete Digital Marketing strategy from scratch, even with zero experience Master Social Media Marketing on Instagram, Facebook, TikTok, LinkedIn, YouTube & Pinterest Run profitable Meta Ads (Facebook & Instagram Ads) with AI-powered targeting and retargeting Rank on Google with modern SEO and Answer Engine Optimization (AEO) for AI Search Create high-converting content with AI: copywriting, video, images, podcasts & graphic design Launch Email Marketing campaigns that convert, powered by ChatGPT and AI workflows Drive sales with Google Ads: Performance Max, AI bidding and modern targeting strategies Build websites in minutes with AI builders: Framer AI, Wix AI, WordPress + Elementor AI Grow on YouTube and master YouTube Shorts with the 2026 algorithm and AI thumbnail tools Define your Brand Identity and Customer Avatar (ICP) with proven AI prompts Automate Marketing with AI Agents: n8n, Make, ChatGPT, Custom GPTs & ManyChat Master Digital Marketing in 2026 - and use AI to do it 10x faster. AI is rewriting the rules of Digital Marketing. The strategies that worked in 2023 won't get results today. This Masterclass shows you exactly what works now - from AI Marketing strategy and ChatGPT workflows to modern SEO, Meta Ads, Social Media Marketing, and the AI tools reshaping the entire industry. Welcome to the most complete Digital Marketing Masterclass for 2026 - built around AI, proven by 278,000+ students, and trusted by over 27,000 reviews. Businesses without AI Marketing are already falling behind. Marketing professionals without AI skills are losing opportunities. This Masterclass exists so you don't. You'll learn the exact frameworks Diego Davila and Phil Ebiner use to run their own 6-figure online businesses and teach over 1 million students worldwide. Whether you want to grow a business, land a Digital Marketing job, or scale client results, this Masterclass gives you the complete AI-first system for the new era of Digital Marketing. Why this is the most complete Digital Marketing Course on Udemy: This is not just another Digital Marketing course. This is the AI-first Digital Marketing Masterclass - built from the ground up around the AI tools and workflows reshaping every part of marketing in 2026. From Brand Identity to AI Agents, from SEO to Meta Ads, from YouTube to TikTok, from Email Marketing to AI Content Pipelines - every essential Digital Marketing skill is here, in one comprehensive program. No need to buy 10 different Digital Marketing courses. Here's exactly what you'll master, broken down by area: BLOCK 1 - Foundations & Digital Marketing Strategy Every great Digital Marketing campaign starts with strategy. Most marketers skip this - and that's why their ads don't convert, their content doesn't get traction, and their brand never stands out. In this foundational block, you'll build the strategic core that supports every campaign and every channel. In this Digital Marketing foundation section, you will learn: Digital Marketing fundamentals for 2026 - what changed, what stayed the same, and what's coming next The AI Marketing landscape - Claude, ChatGPT, Gemini, Perplexity, and how top marketers use each How to define your business goals and build a Digital Marketing strategy from scratch Target audience definition with AI - proven prompts to build detailed Customer Profiles and ICPs in minutes The complete Marketing Funnel - awareness, consideration, conversion, retention - and how AI optimizes each stage NeuroMarketing and consumer psychology for higher conversions Emotional triggers, color psychology, pricing psychology, font psychology, social proof, and the brain science behind conversions How to apply neuromarketing techniques across emails, ads, landing pages, and website UX BLOCK 2 - Brand Identity & Positioning with AI A weak brand is invisible. A strong brand is unmistakable. In this section, you'll build (or rebuild) your Brand Identity using proven AI prompts that capture brand voice, positioning, taglines, and customer avatars in minutes - not weeks. In the Brand Identity with AI section, you will learn: How to define your brand voice using AI - adjectives, tone, what your brand says and never says Positioning statements and 5+ taglines under 8 words, generated with AI Full Brand Identity Mini-Guide creation with AI - who you are, who you serve, brand voice, positioning, voice in action Customer Avatar (ICP) creation with Claude, ChatGPT, and Perplexity AI for brand identity - names, taglines, logos, color palettes, and brand voice systems How to create brand experiences that build loyalty and trust When and how to rebrand if your positioning isn't working How to measure the real impact of your branding over time BLOCK 3 - Digital Presence: Websites, SEO & Google Your website is your storefront. Your SEO is your traffic. Your Analytics tells you what's working. In this Digital Marketing block, you'll build a complete digital presence - websites that convert, modern SEO that ranks on Google and AI search engines, and analytics that drive decisions. In the Digital Presence section, you will learn: How to build professional websites in minutes with AI - Framer AI, Wix AI, Hostinger AI, Durable WordPress mastery - themes, pages, menus, posts, plugins, security, speed, SEO optimization Elementor AI for building stunning WordPress websites without code Modern SEO for 2026 - ranking factors, keyword research, on-page SEO, off-page SEO, technical SEO Answer Engine Optimization (AEO) - how to rank on Google AI Overviews, ChatGPT, Perplexity, and the new AI search engines Semrush AI Toolkit deep dive - SEO content briefs, social post generation, brand performance, visibility, perception analysis, AI-driven insights Keyword research strategies - short-tail vs long-tail, search intent, competitor analysis Backlink strategies, domain authority, and link building tactics for 2026 Google My Business and Local SEO for businesses with a physical location Google Analytics 4 (GA4) setup, dashboard navigation, audience insights, conversion tracking AI Insights in GA4 - using AI to interpret data and make Digital Marketing decisions How to build simple reporting you can present to stakeholders or clients BLOCK 4 - Content & Copy: Write, Automate & Convert Content is what connects you with your audience. Copy is what converts them into customers. In this Digital Marketing block, you'll master Copywriting, Email Marketing, Content Marketing, the AI Marketing Toolkit, and Conversational Marketing. In the Content & Copy section, you will learn: Copywriting Masterclass with AI - AIDA framework, 9 commandments of copywriting, high-impact headlines How to write copy that converts - for ads, sales pages, social media, emails, and landing pages AI workflows that 10x your copywriting output - Claude, ChatGPT, GPT-4o for marketing Email Marketing strategy from zero - list building, lead magnets, opt-ins, segmentation, tagging Email funnels that convert - full sequence creation, subject lines, promotional best practices Email Marketing with AI - write high-converting campaigns with ChatGPT in minutes Email Marketing analytics - deliverability, open rates, click rates, optimization Content Marketing strategy for 2026 - planning, production, distribution, repurposing AI Content Marketing Pipelines - website, blog, social content generation with AI Editorial calendars, outlines, titles, hooks, and content optimization with AI AI Marketing Toolkit 2026 - Claude, ChatGPT, Gemini, Perplexity, ElevenLabs deep dive Prompt engineering for marketers - the prompts and frameworks professionals use Chatbots & Conversational Marketing - ManyChat AI for Facebook, Instagram, WhatsApp, SMS, and websites Custom GPTs as marketing assistants and chatbots BLOCK 5 - Video, Visual & Creative Production Visual content is no longer optional. In 2026, Digital Marketers who can produce video, images, and graphic design at scale are dominating every platform. In this block, you'll master AI image creation, AI video creation, graphic design, and the complete creative production workflow. In the Video, Visual & Creative section, you will learn: Graphic Design with Canva Magic Studio - AI image generation, Magic Write, brand kits, templates, 2026 design workflows Canva for everything - thumbnails, carousels, stories, banner art, slides, videos, brand-consistent templates AI Image Creation - Midjourney v6, Flux AI, DALL-E for marketing visuals, ads, carousels, story posts, banners, thumbnails Image strategy for marketing - aspect ratios, region variations, face swaps, safe cleanup Adobe Photoshop for marketers - Generative Fill, Adobe Firefly, generative AI workflows Photoshop crash course with practical marketing assets and generative AI Video Production with AI - CapCut AI, Descript, Runway for AI-assisted editing CapCut AI Video Editing - templates, timelines, B-roll, filters, color correction, titles, captions, background removal, retouching, AI features, exporting Generative AI Video - InVideo AI, Sora, Runway, voice cloning, multi-language dubbing, captions, subtitles, faceless video workflows Script-to-video workflows with AI TikTok & Short-Form Video Marketing 2026 - TikTok strategy, algorithm, AI content creation, repurposing long-form to shorts TikTok content lifecycle, discovery tabs, viral content formulas, hooks TikTok monetization with TikTok Shop, affiliate marketing, and brand partnerships YouTube growth strategy 2026 - success blueprint, algorithm deep-dive, niche selection YouTube Shorts mastery with the 2026 algorithm and AI thumbnail tools YouTube SEO - keyword research, title optimization, description optimization, tags, thumbnails A/B testing Channel setup, branding, layout, uploads, Studio analytics for growth YouTube monetization - ads, sponsors, memberships, affiliates, products and services AI for YouTube - video ideas, scripts, tags, descriptions, captions Podcasting strategy with AI - ElevenLabs, Descript AI, automated show notes, scripts, guest research AI for podcasting - ideas, names, episode outlines, interview questions BLOCK 6 - Social Media Marketing 2026 Social Media Marketing is where attention lives. In 2026, the marketers who win are the ones who understand each platform's unique algorithm and create content that natively fits. In this Digital Marketing block, you'll master organic growth on every major platform. In the Social Media Marketing section, you will learn: Instagram Marketing 2026 - algorithm, profile optimization, Stories, Highlights, Reels strategy Instagram growth tactics - Broadcast Channels, Threads integration, AI content tools How the Instagram algorithm rewards content in 2026 Facebook Marketing - Pages, Groups, Meta Business Suite, organic strategy Facebook ecosystem - community building, monetization, CTAs, competitor research, reach strategies LinkedIn B2B Marketing - LinkedIn algorithm, Newsletter strategy, AI outreach, lead generation LinkedIn profile optimization for thought leadership and client acquisition LinkedIn content strategy - what posts work in 2026 for B2B Digital Marketing Pinterest Marketing - business profiles, SEO for Pinterest, evergreen pin strategy Pinterest as a silent traffic engine for products, services, and content X (Twitter) Marketing essentials - profile optimization, hashtags, content strategy TikTok organic growth - niche, content lifecycle, viral formulas Build Your Own Online Community - Discord, Circle, Facebook Groups Community engagement frameworks and post types that drive conversation AI for Social Media Insights & Growth - Metricool AI, Sprout Social AI, TikTok analytics Social Media Automation - Make, n8n, Zapier AI, SocialBee Social media scheduling, reposting, calendars, and systems Livestreaming strategy and monetization - Facebook, YouTube, Instagram Live, OBS setup Simultaneous streaming and content repurposing playbook BLOCK 7 - Paid Advertising: Meta Ads, Google Ads & Beyond Paid ads are the fastest way to scale your Digital Marketing. But they're also the fastest way to burn money if you don't know what you're doing. In this block, you'll master Meta Ads (Facebook Ads & Instagram Ads), Google Ads, Landing Pages, and the targeting strategies that work in 2026. In the Paid Advertising section, you will learn: Meta Ads complete masterclass - Facebook Ads and Instagram Ads from setup to scale Meta Advantage+ AI campaigns - how to leverage Meta's AI for automated optimization Facebook Ads Manager - campaign structure, ad set targeting, ad level optimization Custom Audiences, Lookalike Audiences, and Detailed Targeting in 2026 Facebook Retargeting - post-iOS strategy, custom audiences, retargeting pixels, creative formulas Facebook Ads for Local Business - small business campaigns, neighborhood targeting Instagram Ads - Reels ads, Stories ads, feed ads, carousel ads, lead ads Instagram Ads creative - what looks native, captions, mobile optimization Creative testing, retargeting, and scaling strategies for Meta Ads Google Ads complete masterclass - account setup, billing, account structure Google Search Ads, Display Ads, Shopping Ads, and YouTube Ads Performance Max campaigns and AI bidding strategies Google Ads keyword planner and modern targeting strategies Conversion tracking, attribution, and optimization for Google Ads Landing Pages with AI - Unbounce AI, Leadpages, Framer for high-converting pages Landing page A/B testing, Smart Traffic, mobile optimization, popups, sticky bars Conversion Rate Optimization (CRO) - landing pages, ecommerce, lead funnels Customer Profiles & AI Marketing Avatars - buyer personas, customer profiles, AI-generated avatars Market Research with Semrush AI Toolkit - keyword research, content gaps, rank tracking, audits Semrush deep dive - backlinks, traffic analysis, EyeOn competitor monitoring, brand mentions BLOCK 8 - AI Power Tools & Marketing Automation This is where you become an AI-powered Digital Marketer. In this block, you'll master ChatGPT for marketing, build AI Agents that automate competitor research and content production, and use AI Agents to scale your output exponentially. In the AI Power Tools section, you will learn: ChatGPT & GPT-4o Mastery - canvas, image generation, voice, advanced prompting Prompt engineering for Digital Marketing - frameworks professionals use to get high-quality outputs ChatGPT for content creation - articles, videos, podcasts, social media, emails ChatGPT for ad copy - Facebook Ads, Google Ads, Instagram Ads Custom GPTs - building AI assistants tailored to your Digital Marketing workflows Use cases for ChatGPT - content creation, social media, Google Ads, Facebook Ads, market research AI Agents & Marketing Automation - automating competitor research, content production, customer outreach n8n for Marketing Automation - workflows, triggers, integrations Make (formerly Integromat) for Marketing Automation Zapier AI for connecting marketing tools ManyChat AI - chatbot automation for Facebook, Instagram, SMS, WhatsApp, websites AI for Websites & Funnels - Framer AI, Relume, current AI website builders Quora Marketing - strategy, finding the right questions, optimizing answers, driving targeted traffic Bonus - Practical Portfolio Projects & Live Q&A Everything you learn comes together in three complete portfolio projects: a Local Business campaign, a Personal Brand strategy, and an E-commerce growth plan. These are real-world Digital Marketing projects you can use to build your portfolio, land clients, or apply to job interviews. Plus you get access to multiple LIVE Q&A replays - real questions from real students, with detailed answers across every area of Digital Marketing. Real students are using this Masterclass to launch businesses, land Digital Marketing jobs, and grow client results - even when they started with zero marketing experience. Over 27,000 of them rated this Masterclass on Udemy. Why this is the #1 Digital Marketing Masterclass for 2026: AI-First, Not AI-Sprinkled. Most Digital Marketing courses still teach old marketing with AI as an afterthought. This Masterclass is built around the AI tools and workflows top marketers actually use in 2026. Always Up-to-Date. Continuously updated for new AI tools, platform changes, and algorithm updates. You're not buying a static Digital Marketing course - you're joining a living Masterclass that grows with the industry. Built by Real Practitioners. Diego Davila and Phil Ebiner use these exact strategies to run their own 6-figure online businesses. You learn what actually works in production, not just theory. Proven by 278,000+ Students. Over 27,000 reviews and 1+ million students across our courses. 12 years of teaching Digital Marketing on Udemy. This is the most trusted Digital Marketing Masterclass for 2026. 45 Courses in 1. From Brand Identity to AI Agents, you get every essential Digital Marketing skill in one comprehensive program. No need to buy 10 different Digital Marketing courses. 100+ AI Prompts. Ready to copy, paste, and use. The same prompts top marketers and agencies are using right now for Digital Marketing in 2026. Meet your instructors: Diego Davila is a top Udemy instructor with over 1.1 million students worldwide and 12 years of teaching Digital Marketing. He runs his own 6-figure online business using AI Marketing and specializes in modern AI workflows, ChatGPT for marketing, and Social Media growth. Phil Ebiner is one of Udemy's most established instructors with over 3 million students. He brings deep expertise in YouTube strategy, video production, and content creation. Together, Diego and Phil distill their best frameworks, AI workflows, and real-world Digital Marketing experience into this Masterclass - so you can learn fast, implement confidently, and see real results in your Digital Marketing. What you get with this Digital Marketing Course: Lifetime access - pay once, learn forever Continuous updates - new AI tools and strategies added regularly 100+ AI prompts - ready to copy, paste, and use Downloadable resources - templates, checklists, case studies Personal Q&A support from instructors and the student community Udemy Certificate of Completion 30-day money-back guarantee - zero risk to start Why start now: Digital Marketing in 2026 isn't optional anymore - it's a survival skill. Businesses without AI Marketing are falling behind. Marketing professionals without AI skills are losing opportunities. Content creators without AI workflows are getting outproduced. The good news: you don't need to figure this out alone, or piece it together from 50 YouTube videos. This Digital Marketing Masterclass gives you everything you need to win in the AI era of Digital Marketing - strategy, tools, prompts, and a proven step-by-step system. Enroll now. Let's master Digital Marketing in 2026 together. Who this course is for: Entrepreneurs and business owners who want to grow their business with AI-powered Digital Marketing in 2026 Anyone who wants to learn Digital Marketing from scratch - no experience needed, complete step-by-step training Freelancers and Digital Marketing agencies who want to deliver better results faster using AI tools and prompts Marketing professionals looking to upgrade their skills with ChatGPT, Claude, AI Agents, and modern AI workflows Content creators, YouTubers, and Social Media Managers who want to scale content production with AI Career changers who want to break into Digital Marketing and land a job in one of the highest-demand fields of 2026 Coaches, consultants, and course creators who want to attract clients online through Social Media, SEO, and Email Marketing Anyone who wants to master the AI Marketing tools that are reshaping the industry - Claude, ChatGPT, Perplexity, Gemini, Meta Ads AI, and more DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

IELTS Band 7+ Complete Prep Course | Udemy [Update 06/2026] English | Size: Genre: eLearning Created byKeino Campbell, Esq. What you'll learn: Achieve learning outcomes for Band 7+ in every section Academic and General Exam Strategies and Tactics Over 25,000 Confirmed 5-Star Reviews (*****) 40+ Assignments to Test Your Knolwedge Embedded Quizzes and Tests to Asseses Your Readiness Speaking Role Plays for Parts 1, 2, and 3 (AI Coached Examiner) Know what IELTS Examiners want from Speaking and Writing 40+ Assignments to Test Your Knolwedge Monthly Live GROUP Class with Real-Time Advice (Reading, Listening, Writing, Speaking) Time Management Strategies for Score Improvement Course Completely Updated in 2025 (Every Exam Section)5 Increase Reading Answer Accuracy to Band 8+ Computer Based Exam Strategies and Tactics Updated and Current with 2026 Exam Policy/Focus Shifts: Paper and Computer-Based Exams Our mission is simple: To empower learners to unlock life-changing opportunities through mastery of the IELTS exam. Whether you're dreaming of studying abroad, working in a new country, or starting a new life, IELTS is your gateway-and this course is your key.This course has been a UDEMY BESTSELLER for eight years, offering live monthly group classes! New Feature Alert!! Speaking Test Role Plays Now Available in Your IELTS Band 7+ Complete Course! What Makes This Course Unique? A Complete Learning System *300 + Practice Questions Reading & Listening quizzes with entry and exit tests *Embedded Task 1 and Task 2 Writing Assignments with feedback Embedded Speaking Roleplays for Parts 1-3 *Academic & General Training versions included *Monthly live group classes *FREE Speaking Test for Course Completion with UDEMY Certificate *Computer-Based Exam Review and Operating Explanation *Strategy-based methods trusted by +300,000 Students Why Choose This Course? Because It Transforms Lives by Helping Achieve Band 7+ Scores. Over 28,000 5-star reviews don't lie. Thousands of students just like you have already made the leap-from frustration to confidence, from average scores to Bands 7, 8, and even 9. This Course is for You If You: Want a Band 7 or higher Are tired of studying without results Need a plan that's clear, effective, and motivating Want to be guided by a trusted 15-year expert Are ready to open the doors IELTS can unlock Led by an Award-Winning IELTS Expert: Keino Campbell, Esq. Study with a UDEMY Top 10% Instructor-recognized for his outstanding ability to simplify, motivate, and elevate student performance. Keino is a university professor, lawyer, and multiple UDEMY teaching award recipient who's committed to helping every student reach their full potential. Your Path to Global Opportunities Starts Now This course is designed to equip you with everything you need to confidently achieve Band 7+ -and to take full control of your future. By the end of this course, you will: Master every part of the IELTS Academic or General test Understand how the test is assessed-and how to meet the criteria Write high-scoring Task 1 and Task 2 responses Complete Reading passages in under 20 minutes with +85% accuracy Recognize answers quickly in Listening Speak with clarity, fluency, and confidence Gain the exact tips and tactics past examiners want you to know Course Structure Your Band 7+ IELTS training follows the real test format: Listening - Learn how to identify answers in real time Reading - Practice scanning, skimming, and strategy Writing - Learn structure, vocabulary, and what Band 7+ really looks like Speaking - Train with examples, feedback, and performance tips Requirements to Succeed Intermediate English level or higher A willingness to participate consistently A desire to change your life Cambridge IELTS books (7-19) optional but referenced Enroll Now and Begin Your Transformation This is more than IELTS prep- It's your first step toward global opportunity. Join thousands who've already succeeded. Start your journey today. Your future is waiting-and we're here to help you reach it. Who this course is for: IELTS Students who need USA, UK, AU, or Canadian University admission should take this course. Individuals who need IELTS English for job certification should take this course. Individuals who need IELTS English for immigration purposes should take this course. IELTS Students with Intermediate English should take this course. Students seeking to improve their General English should take this course. Students needing to learn IELTS Reading Students needing to learn IELTS Listening Students needing to learn IELTS Writing Task 1 and 2 Students needing to learn IELTS Speaking Students with Beginner English or who are not serious should NOT take this course. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

From Java Dev to AI Engineer: Spring AI Fast Track | Udemy [Update 06/2026] English | Size: Genre: eLearning Build AI Apps with Spring AI, OpenAI, RAG, MCP, AI Testing, Observability, Speech & Image Generation What you'll learn: Build Spring Boot applications powered by Spring AI Integrate Spring AI app with OpenAI, Ollama, Docker Model Runner, and AWS Bedrock Use prompt templates and prompt stuffing techniques Convert AI text responses to Java Beans, Lists, and Maps Understand how LLMs work internally with tokens and embeddings Implement Retrieval-Augmented Generation (RAG) with Spring AI Implement memory in chat apps using Spring AI advisors Teach LLMs to call tools exposed by Java methods Build both MCP clients and servers with Spring AI From Testing to Production - Making AI Answers Safer with Evaluators Observability in Spring AI - Metrics, Monitoring & Tracing Transcription, Speech, and Image Generation using Spring AI Are you ready to build AI-powered Java applications with real-world use cases? This hands-on course will teach you how to integrate cutting-edge AI capabilities into your Spring Boot applications using the Spring AI framework and OpenAI. You'll master everything from building your first chat-based app to using Retrieval-Augmented Generation (RAG), Tool Calling, Structured Output Conversion, MCP (Model Context Protocol), and even Speech-to-Text, Text-to-Speech, and Image Generation - all using Java and Spring Boot. From understanding how LLMs work to deploying production-ready AI features with observability, testing, and advisor-based safety, this course is packed with powerful demos, clean explanations, and practical techniques to bring intelligence to your backend. Whether you're a Java developer, Spring enthusiast, or backend engineer exploring Generative AI, this course will guide you step-by-step with best practices and battle-tested code. What You'll Learn: Section 1: Welcome & Hello World with Spring AI Understand the Spring AI framework and course roadmap Build your first Spring Boot AI app using OpenAI Deep dive into ChatModel and ChatClient APIs Section 2: Prompt Engineering & Structured Output Use message roles, prompt templates, and stuffing techniques Work with advisors to control AI behavior Map AI responses to Java Beans, Lists, and Maps Section 3: Generative AI & LLM Fundamentals Learn about tokens, embeddings, and how LLMs generate text Understand attention, vocabulary, and model internals Explore static vs positional embeddings and context windows Section 4: AI Memory with ChatHistory Implement stateless-to-stateful conversations Use MemoryAdvisors and Conversation IDs for per-user memory Persist chat memory using JDBC and configure maxMessages Section 5: RAG - Retrieval-Augmented Generation Set up a vector store (Qdrant) using Docker Store and query document embeddings in Spring Boot Use RetrievalAugmentationAdvisor to feed documents to AI Section 6: Tool Calling - Let AI Take Action Enable tool invocation via LLMs Build tools for real-time actions like querying time or database Customize tool errors and return responses to users Section 7: Model Context Protocol (MCP) Learn MCP architecture and communication patterns Build MCP Clients and Servers using Spring AI Integrate with GitHub's MCP Server and explore STDIO transport Section 8: Testing & Validating AI Outputs Use RelevancyEvaluator and FactCheckingEvaluator Test AI responses for correctness in dev and production Add runtime safety checks with Spring Retry Section 9: Observability - Monitoring AI Operations Enable Spring Boot Actuator metrics for AI Set up Prometheus & Grafana dashboards Trace AI behavior with OpenTelemetry and Jaeger Section 10: Speech & Image Generation Convert voice to text with AI-powered transcription Generate natural speech from text prompts Turn prompts into images using the ImageModel Who this course is for: Java and Spring Boot developers eager to integrate AI into real-world applications Backend developers curious about LLMs, prompt engineering, and AI-powered workflows Full Stack developers interested in adding AI capabilities to their microservices or APIs Architects exploring Retrieval-Augmented Generation (RAG) and Tool Calling in Spring ecosystems Professionals aiming to bring natural language interfaces to enterprise applications Devs building chatbots, voice assistants, or image generation tools using Spring AI Students and enthusiasts who want a practical, hands-on approach to Generative AI with Java DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

The complete AutoCAD 2018-21 course | Udemy [Update 05/2022] English | Size: Genre: eLearning A complete course for learning AutoCAD from scratch to professional level What you'll learn: Make and edit their own AutoCAD Drawings, Plans and Layouts Prepare for the AutoCAD certification exams Work with projects like floor plans, circuit diagrams and mechanical drafting New features of AutoCAD 2019, 20 and 2021 version This is the only course you will ever need to learn AutoCAD right from scratch. Major Highlights of The Course Most comprehensive AutoCAD course online with 184 video lectures All lesson files included for download Self-assessment quizzes and Practice drawings at the end of every section 150 AutoCAD command list and AutoCAD quizzes eBook included New features of AutoCAD 2018, 19, 20 and 2021 version included Taught by certified AutoCAD professional Extra practice drawings and projects at the end of the course An overview of AutoCAD for Mac is included Auto-generated closed captioning in more than 6 languages (generated by Udemy) What is this course all about? This course is a full-length AutoCAD 2018, 19, 20 and 2021 learning package which contains almost all of the topics that you will ever need to work with this software. The course is designed for a beginner as well as seasoned users. A beginner can start learning the software right from scratch by following the course along just from lecture one. A seasoned AutoCAD user will also find this course very comprehensive and they can choose the topics they want to learn about skipping the basics. Project-oriented course The course lessons are mostly project-oriented and most of the tools and commands are taught with their real-world applications. Each module ends with a practical question which is related to the course and students are encouraged to answer the questions before moving further. Drawings for practice Apart from module end questions this course also contains a complete section dedicated to "practice drawings" and projects like floor plan, circuit diagram and other. Instructor support for questions I understand that students will have questions related to the course and its necessary also for a healthy learning process hence I encourage students to ask their questions related to the course in the Q&A section of the course.I answer each and every question as soon as possible and so far I have answered every single course-related questions from students on Udemy Q&A section. If you are still thinking whether you should enrol or not then I encourage you to watch some of the preview videos and test the waters before you actually enrol in the course and even after enrolling if you feel that this course failed to meet your expectations then you can always ask for a refund within 30 days of purchase. Pre-requisites You need to have access to AutoCAD software (student, trial or commercial version) for this course. This course can be used with AutoCAD LT as well. Who this course is for: If you are a student with no prior knowledge of AutoCAD, and want a comprehensive course with lots of practice questions then this course is for you. If you are a working professional looking to upgrade his/her skills and learn new and advance topics in AutoCAD then this course is also for you. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Business Architecture for AI Agents: TOGAF® + BPMN | Udemy [Update 06/2026] English | Size: Genre: eLearning The method behind the 5% of AI projects that actually pay off. TOGAF Business Architecture exam preparation & BPMN 2.0 What you'll learn: Diagnose why an AI initiative is likely to fail before it's deployed Recognize the TOGAF artifacts that map a business to AI-readiness Read an executable BPMN process with AI agents in the lanes Make the case to leadership for redesign-before-automate _Launched June 11, 2026_ 95% of AI pilots produce zero measurable P&L impact. Not because the models are bad. Not because the budgets are too small. Because organizations are layering AI on top of broken processes and broken processes don't get fixed by making them faster. The McKinsey 2025 study on ~2,000 organizations made it unambiguous: the top 6% of AI performers were _three times_ more likely to have redesigned their workflows before deploying AI. Redesign first. Automate second. Everyone else is burning budget. In 2 hours, this course gives you the method the 5% use and shows it working on a real process, end to end. You'll see how three disciplines combine into one repeatable approach: TOGAF Business Architecture - the language to map capabilities, value streams, and where AI actually belongs BPMN 2.0 - the rigorous notation to model processes that can be executed, not just drawn Agentic AI - how to integrate AI agents as first-class process participants, with human-in-the-loop checkpoints and governed orchestration The course is built around a recursive live demonstration: you'll watch the method applied to the process of process modeling itself proving it works on a real workflow, not a sanitized textbook case. By the end, you'll be able to: Diagnose why an AI initiative is likely to fail before it's deployed Recognize the TOGAF artifacts that map a business to AI-readiness Read an executable BPMN process with AI agents in the lanes Make the case to leadership for redesign-before-automate Who it's for: Enterprise architects, business analysts, AI project leads, and consultants who are tired of watching pilots die at proof-of-concept. What comes next: This course is the foundation. To learn the method in your own hands, the full 4-module instructor-led program takes you from TOGAF foundations through BPMN modeling, a live case demonstration, and ADM integration with TOGAF Business Foundation exam preparation included. Take them in order, on your own schedule. Details inside the course. This isn't a course about AI hype. It's a course about why hype keeps failing and what works instead. Who this course is for: Enterprise architects Business analysts AI project leads Consultants DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Intelligent CI/CD: Predictive Analytics and Optimization | Pluralsight English | Size: Genre: eLearning CI/CD pipelines often fail unexpectedly, causing delays and time-consuming troubleshooting. This course will teach you how to use AI to forecast pipeline failures, dynamically optimize resources, and surface root causes from logs in seconds. What you'll learn Modern CI/CD pipelines generate massive amounts of operational data, yet most organizations struggle to turn that information into actionable insights. This results in preventable pipeline failures, inefficient resource utilization, and lengthy troubleshooting cycles that slow software delivery. In this course, Intelligent CI/CD: Predictive Analytics and Optimization, you'll gain the ability to design and operate intelligent delivery pipelines that use machine learning to improve reliability, efficiency, and operational visibility. First, you'll explore how to use historical build metrics, logs, and security scan data to train predictive models that identify risky changes before they cause failures. Next, you'll discover how AI can optimize pipeline resources and configurations by forecasting demand, monitoring runner utilization, and automatically tuning build environments to improve performance and stability. Finally, you'll learn how to implement AI-powered observability techniques, including real-time anomaly detection, AI-assisted root cause analysis, and automated triage workflows that accelerate incident resolution. When you're finished with this course, you'll have the skills and knowledge of applying machine learning within CI/CD environments needed to build delivery pipelines that predict failures, optimize resources, and provide intelligent operational insights, helping transform software delivery into a more resilient and strategic business capability. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

The Applied AI Masterclass [Update 06/2026] English | Size: Genre: eLearning A hands-on, no-fluff, and highly practical masterclass that helps you become great at designing, implementing, and shipping AI systems at your workplace. Key Details Super hands-on and practical - focused on you building AI systems at your workplace Build and explore 24 prototypes for deep, practical understanding Design and brainstorm 7 agentic systems combining AI and resilient system design LLM credits are not included; you will need your own API keys for prototyping Examples use Gemini, but you are free to use any model Lifetime access to all session recordings All systems will be built in Python Course does not cover Machine Learning or Deep Learning, the focus is to understand how to leverage LLMs, understand different patterns, pitfalls, and build great systems using them. Why Learn Applied AI Now? AI is becoming a core layer of modern products Building with LLMs, agents, and AI workflows is now a key engineering skill Reliable AI systems require memory, tools, retrieval, workflows, and evaluation - not just LLM call AI is the biggest opportunity today for engineers who can integrate AI into real-world products DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

AZ-104 Microsoft Azure Administrator - Complete Exam Prep | Udemy [Update 06/2026] English | Size: Genre: eLearning AZ-104 certification prep covering identity, networking, storage, compute & monitoring What you'll learn: Know how to implement solutions for the Microsoft Azure platform Pass the Microsoft AZ-104 Microsoft Azure Administrator test the first time Achieve the Azure Administrator Associate badge Understand the main concepts of Azure, beyond the ones you normally use Be up-to-date on the latest updates to this ever-changing platform The AZ-104 exam doesn't test theory. It tests whether you can actually administer Azure. This course is designed to take you from "I kind of know Azure" to confidently managing identities, networking, storage, compute, and monitoring in real Azure environments. This course is built around the exact skills Microsoft expects an Azure Administrator to use day to day. You'll work through Azure administration end-to-end, learning how subscriptions, identity, networking, storage, compute, and monitoring fit together in practice, not just as isolated services. Every section aligns with the current AZ-104 exam objectives and reflects how Azure is actually configured and managed in real environments. Rather than focusing on memorization, the course emphasizes understanding and decision-making. You'll see why certain Azure features are used, how they interact, and what tradeoffs administrators need to consider. By the end of the course, you won't just be prepared to answer exam questions... you'll be able to manage Azure resources confidently, troubleshoot common issues, and explain your choices in a professional setting. What you'll be able to do after completing this course Manage Azure identities and governance Configure Microsoft Entra ID users, groups, and role-based access control (RBAC) Assign roles at the subscription, resource group, and resource level Manage subscriptions, policies, and resource locks to enforce governance Implement and manage Azure storage Create and configure storage accounts, containers, file shares, and access tiers Secure storage using shared access signatures, access keys, and identity-based access Configure redundancy, lifecycle management, backups, and recovery options Deploy and manage Azure compute resources Create and manage virtual machines, disks, images, and availability options Configure VM scale sets for scalability and resiliency Manage backups, monitoring, and basic automation for compute workloads Implement and manage virtual networking Design and configure virtual networks, subnets, and IP addressing Secure network traffic using network security groups, routing, and service endpoints Configure VPN gateways, peering, and hybrid connectivity scenarios Monitor and maintain Azure resources Use Azure Monitor, alerts, and logs to track performance and availability Configure diagnostic settings and analyze metrics for troubleshooting Implement basic cost management and resource optimization strategies COURSE BONUS:Free study guide PDF available for download inside the course. SECOND BONUS: 3-hour last-minute exam cram videos for when you want to go through all the topics in a half-day before taking the exam. Latest 5-stars review - "Scott is a great tutor, and this course completely lives up to my expectations. I think it is well organized to match the syllabus and clarified a lot of issues in the first few lectures. Also currently the Microsoft official learning resources are pretty useless..." Complete preparation for the Azure AZ-104 exam - "Microsoft Azure Administration". Get your questions answered in the course. This course is of great value as it gets continually improved as the exam requirements change. This course will be ready for you when you're ready to take the exam. The opportunity in cloud computing is clear. Most companies are implementing or investigating how to implement cloud technologies within their operations. Don't be left behind. Be ahead of the curve by getting Azure certified, and be ready for the opportunity to advance your career. The next time your resume is on someone's desk-be it a promotion at work or a new job opportunity-you cannot afford to have such an obvious gap in knowledge. Industry trends show that supporting applications that have cloud-hosted components is becoming the in-demand skill of tomorrow. Having Azure skills on your resume will only help you get in front of more hiring managers, and land more jobs. This course goes through all of the skills needed to take and pass the Microsoft certification exam, AZ-104 exam: Microsoft Azure Administrator.While other online resources cover bits and pieces of the topic, I can confidently say this course goes deep on everything you need to know for this exam. Skills at a glance Manage Azure identities and governance (20-25%) Implement and manage storage (15-20%) Deploy and manage Azure compute resources (20-25%) Implement and manage virtual networking (15-20%) Monitor and maintain Azure resources (10-15%) Microsoft introduced a new exam AZ-104 Microsoft Azure Administrator exam, and this course covers those requirements. Free upgrade for all existing students. This course teaches all of the requirements for each exam, one by one. Each of the things that Microsoft tests will be covered in this course. You get lifetime access to the course, and so there are no silly "30-day" countdowns that require you to pay more to extend access. This course will be here when you need it. Enroll today! Version History V1.0-1.9 Covering 70-533 exam contents. V2.0-2.9 Covering AZ-103 exam contents. V3.0-3.4: Covering AZ-104 exam contents. V4.0 Mar 2023 Updates. Re-recorded the Azure Active Directory, access control, subscriptions and governance, and access to storage sections. Re-recorded virtual machines and VMSS sections. V5.0 Oct 2023 Updates. Azure Cache for Redis, ACR, Docker Desktop, Azure AD now Entra ID. V6.0 May 2025. Updates. New videos for Storage, VMs. Practice test updated. _Microsoft, Windows, and Microsoft Azure are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. This course is not certified, accredited, affiliated with, nor endorsed by Microsoft Corporation._ Who this course is for: Senior technical people with exposure to Azure Those interested in passing the Azure AZ-104 test Operations team who want to learn more about implementing cloud solutions Does not cover development or architecture DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Advanced Duolingo English Test Training | 140+ or Money Back | Udemy [Update 11/2025] English | Size: Genre: eLearning One-on-One Feedback | 2000+ Practice Questions | 5 Practice Mock Tests What you'll learn: You will learn about Duolingo English Language Test You will learn how to speak on a topic You will learn how to write on a topic You will learn how to describe images Welcome to our comprehensive Duolingo English Test (DET) course, designed to help you achieve a score of 140+ with confidence! This course provides a step-by-step guide to mastering every section of the test. We break down each question type to ensure you understand the expectations and learn how to perform at your best. What You'll Learn Question Strategies: For every question type, you'll practice with 5-6 detailed examples, learning effective strategies and techniques to excel. Time Management: Discover practical methods to answer questions efficiently while staying calm and focused. Expert Tips: Learn how to handle pressure, manage your time, and provide effective responses. Whether your goal is to study abroad, prove your English proficiency for immigration, or unlock new career opportunities, this course is your gateway to success. Alongside academic knowledge, you'll gain test-taking skills that will significantly improve your performance. Why Choose This Course? Grammar Test Series: Access a free series with 1,500 questions on prepositions, articles, subject-verb agreement, tenses, conditionals, and sentence formation. Vocabulary Test Series: Test your vocabulary knowledge with 1500 multiple-choice quizzes designed to enhance your language skills. Extensive Practice: Practice with over 2,000 questions to strengthen your skills. Personalized Feedback: Receive detailed one-on-one detailed feedback on writing and speaking questions to improve your performance. Simulated Practice Tests: Get access to Google Forms-based practice tests for a test-like experience. Updated- 23rd November 2024 Who this course is for: Students preparing for Duolingo English Exam DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Godot 4: Build an Action Combat RPG | Udemy [Update 09/2025] English | Size: Genre: eLearning Master 3D RPG creation in Godot: build attacks, levelling, gear systems, animated combat, light environments and more What you'll learn: Build a feature-packed 3D RPG in Godot that'll make players want to grind all day. Create character stats and levelling systems that feel rewarding and satisfying. Develop gear systems with weapons and armour that change stats and appearance. Tackle lighting and global illumination to make your game world truly shine. Design smooth animations with state machines for attacks and movement. Use custom resources to manage player data and keep everything neat behind the scenes. Craft a user interface that's slick, intuitive, and updates with every player action. Dive into advanced scripting with lambda functions for smarter, leaner gameplay. Ever dreamed of creating your own epic 3D role-playing game? Now's your chance! Join us as we guide you through building a large-scale RPG in the Godot engine. You'll learn to bring your ideas to life, levelling up your dev skills in the process. We'll start with the essentials and tackle the fun stuff: crafting attacks, abilities, and a levelling system to make your player character truly shine. By the end, you'll have a fully playable RPG, complete with gear, enemies, and jaw-dropping environments. Building a game this size sounds intimidating, right? No worries! We'll guide you step-by-step to create a fully-fledged RPG in Godot, from scratch. You'll also learn the secret sauce behind pro-level Godot skills. Ever wondered how to make your character stronger across levels? We'll teach you how to use resources to manage player stats and create that satisfying "level-up" feeling players crave. Power up your skills and your hero at the same time! RPGs are all about killer gear. You'll master inventory systems, item equipping, and weapon damage. Plus, you'll make sure players can see their hero evolve with each shiny new sword or piece of armour they equip. Animations bringing the game to life? Check! We'll dive into animation trees and state machines, so your characters don't just move-they _flow_. Hook animations into gameplay to make every attack and action feel impactful. From bone attachments to global illumination, we've got your back with advanced techniques that will make your RPG not just playable but downright _gorgeous_. Make those levels pop with lighting that wows even the pickiest players. Stuck on complex interfaces? We'll teach you how to create dynamic UIs that update with player actions -whether it's equipping items or tracking stats. Build interfaces players _love_ to use. This course is perfect for intermediate Godot devs or anyone who's taken our Complete Godot 3D course. If you know the editor and can set up scenes, this is your chance to level up. Stuck? Never fear. You'll have access to a supportive community and a crack team of teaching assistants. Whether you're debugging or dreaming up your next feature, you won't be on this journey alone. The Godot engine is blowing up (not literally!), and now's your chance to jump on in. Grab your keyboard, your imagination, and maybe a cup of tea-it's time to get creating. See you in the course! Who this course is for: If you're a Beginner-Plus Godot user looking for a bigger project you're in the right place. Taken our Complete Godot 3D course and looking to level up? This is the course for you This course is also ideal for you if you've worked on a 3D Godot project and want something new to get your teeth into. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Hermes Agent Masterclass: Build Autonomous AI Workflows | Udemy [Update 06/2026] English | Size: Genre: eLearning Deploy a 24/7 self-improving AI agent with Telegram, voice, memory, custom skills, cron jobs, What you'll learn: Deploy a production AI agent to the cloud in minutes - yours to own and control, running 24/7 without server management Chat with your agent from Telegram, Discord, or Slack - plus send voice messages and get instant AI replies, no extra setup Build an agent that actually remembers you - preferences, projects, and communication style that carry across every session Watch your agent get smarter automatically - it creates its own skills after complex tasks so it keeps improving over time Automate your day with cron jobs set in plain English - morning briefings, alerts, and reports delivered while you sleep Teach your agent new workflows in plain markdown - no coding required to extend its capabilities or share them with your team Coordinate multi-agent pipelines with the built-in Kanban board - delegate complex projects across spec, build, and review workers Build a real AI agent. Not a demo. An agent that runs 24/7, learns from you, and works while you sleep. Hermes Agent is the fastest-growing AI agent framework in open source - 165,000 GitHub stars in under a year. It ships with persistent memory, a self-improving skills system, voice messaging, 53 built-in tools, a cron scheduler, multi-agent orchestration, and native integrations for Telegram, Discord, and Slack. And until now, there has been exactly zero courses on how to use it. This course changes that. In about two hours you will go from zero to a fully operational autonomous AI agent deployed to the cloud, connected to your messaging apps, remembering your preferences across every session, and running scheduled tasks automatically - without you lifting a finger. WHAT MAKES HERMES DIFFERENT FROM EVERY OTHER AGENT FRAMEWORK Most agent tools are stateless - every conversation starts from scratch. Hermes has a closed learning loop: when it solves a complex task, it writes a skill so it can do it faster next time. It builds a persistent model of who you are. It updates its own memory. The more you use it, the better it gets at your specific work. This is a course about deploying a production AI agent you will actually use every day. WHAT YOU'LL BUILD A Hermes Agent deployed on Railway (one-click template - live in minutes) Telegram, Discord, and Slack integrations from a single agent instance Voice message support - talk to your agent, get a reply, no extra setup Persistent memory across sessions - your agent remembers you Custom skills you write in plain markdown - teach your agent new workflows A cron job that delivers an AI news briefing to your Telegram every morning A multi-agent Kanban pipeline: spec → implement → review, fully coordinated MCP integration - connect Hermes to GitHub (and any other MCP server) DEPLOY-FIRST PHILOSOPHY By the end of Section 2, your agent is live on the internet. Every section after that adds a new capability on top of a working system. You are never stuck in setup purgatory waiting to build something real. WHAT'S COVERED SECTION BY SECTION Section 1 - Introduction: What you're building, how Hermes works, the self-improving learning loop, and a practical security framework for what to trust your agent with. Section 2 - Deploy on Railway: One-click deploy with the course template, DeepSeek v4 setup, first conversation via CLI and TUI. Section 3 - Messaging: Telegram (with voice), Discord, and Slack - step-by-step setup for all three. Section 4 - The Self-Improving Agent: How the memory + skills + user modeling loop works, and a live demo of Hermes creating its own skill. Section 5 - Tools: Tour of the 53 built-in tools, Docker isolation for safe terminal execution. Section 6 - Memory: MEMORY md and USER md, cross-session persistence, session search. Section 7 - Skills: How skills work, installing from the community hub, writing your first skill in markdown, advanced sharing with taps. Section 8 - Cron: Schedule jobs in natural language, attach skills, deliver to Telegram. Section 9 - MCP: Connect Hermes to GitHub (or any MCP server) with a practical walkthrough. Section 10 - Kanban: Multi-agent task orchestration - the board, dependencies, structured handoffs, crash recovery. Section 11 - OpenClaw: How OpenClaw compares to Hermes and when to reach for one vs. the other. WHO THIS COURSE IS FOR This course is for developers and AI enthusiasts who are comfortable with a terminal and want to go beyond chatbots. You do not need prior experience with agent frameworks. You do need a willingness to build something real, not just follow along. If you've used ChatGPT or Claude and thought "I wish this worked for me automatically, without me having to ask" - this is how you build that. Who this course is for: AI enthusiasts who've outgrown ChatGPT and want an assistant that works for them 24/7 automatically Builders who want their agent connected to Telegram, Discord, or Slack and accessible from their phone Anyone who wants an AI agent that improves over time - building skills and memory without manual upkeep Developers who want a deployed, production-ready AI agent they own and control - not another API wrapper DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

OpenClaw Crash Course | Udemy [Update 05/2026] English | Size: Genre: eLearning Build AI Automations, Workflows, Skills, MCP Integrations, Content Creation and Apps with OpenClaw What you'll learn: Build and configure OpenClaw locally or on a VPS, including onboarding, automation setup, and core file configuration. Create powerful AI automations using cron jobs, custom skills, MCPs, Zapier integrations, and third-party AI tools. Use OpenClaw to generate content such as presentation slides, Instagram carousels, motion graphics, video captions, and YouTube Shorts workflows. Design and build real-world AI-powered applications and agent systems using OpenClaw, external APIs, and automation pipelines. Want to learn how to build powerful AI automations, skills, agents, and real-world applications using OpenClaw? This practical crash course will take you from complete beginner to confidently using OpenClaw for automation, AI workflows, content creation, MCP integrations, and app development. In this course, you will learn how to install and configure OpenClaw, connect it to Telegram, automate workflows with cron jobs, create your own custom skills, and integrate MCP servers such as Zapier MCP. You will also discover how to use OpenClaw for real AI-powered content creation workflows, including: Auto-generating presentation slides Creating Instagram carousels Producing motion graphics with Remotion Clipping and captioning videos Scheduling YouTube Shorts automatically Finally, you will learn how to combine everything together to build your own AI-powered applications and automation systems. This course is highly practical and beginner-friendly, with step-by-step walkthroughs and real-world examples throughout. What You'll Learn Install and configure OpenClaw Run OpenClaw locally or on a VPS Connect OpenClaw to Telegram Create custom OpenClaw skills Understand and use MCP integrations Connect OpenClaw to Zapier MCP Build AI automation workflows Automate content creation pipelines Generate slides, videos, captions, and social media content Build real-world AI applications with OpenClaw Who This Course Is For Beginners interested in AI automation Content creators looking to automate workflows Developers wanting to build AI-powered systems Entrepreneurs and productivity enthusiasts Anyone curious about AI agents and automation tools Who this course is for: This course is for beginners, creators, entrepreneurs, freelancers, and developers who want to learn how to build powerful AI agents and automation systems with OpenClaw for content creation, productivity, business workflows, and real-world applications. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Spring Boot Backend Development: Build Production-Ready REST | Udemy [Update 02/2026] English | Size: Genre: eLearning Design, secure, test, and scale real-world Spring Boot backend applications What you'll learn: Build real-world Spring Boot applications from scratch using clean architecture, industry-standard project structure, and backend best practices Design and develop RESTful APIs with Spring Boot using MVC architecture, proper HTTP methods, and status codes Connect Spring Boot to SQL databases using JPA, Hibernate, and advanced entity relationships Implement CRUD operations, DTOs, and custom queries for clean, scalable, and maintainable backend systems Handle validation, global exception handling, and error responses in professional REST APIs Use Java Streams, Lambdas, and Optionals to write efficient, readable, and modern backend logic Write unit and integration tests using JUnit, Mockito, and H2 for reliable Spring Boot applications Optimize backend performance with pagination, lazy loading, caching, and query optimization Secure REST APIs with Spring Security and JWT, including authentication, authorization, and role-based access control Build production-ready backend applications with security, testing, logging, and clean architecture applied Use professional tools like Postman, Swagger (OpenAPI), and IntelliJ IDEA to develop, test, and document APIs Have you ever wanted to understand the part of the web you don't see - where the real backend logic, data processing, APIs, and user management happen? Then you're in the right place. Spring Boot is one of the most powerful and widely used frameworks for Java backend development. It's trusted by companies worldwide to build everything from simple Spring Boot REST APIs to large-scale, production-ready backend applications. If your goal is to become a real backend developer, mastering Spring Boot is essential. 'Spring Boot Backend Development: Build Production-Ready REST' is designed for learners who want to truly understand Spring Boot backend development, whether you're starting from the basics or strengthening your existing Java and backend skills through a structured, hands-on approach. This course goes beyond theory. You'll build, refactor, optimize, secure, and test real Spring Boot applications, following industry-style backend workflows and best practices. If you're not fully confident in Java or databases, no problem. The course includes optional refresher sections covering: Java fundamentals JSON for REST APIs SQL and database basics So you can follow along with confidence while learning Spring Boot from scratch. By the end of this course, you'll be able to: Build and structure Spring Boot applications from the ground up Design clean, scalable REST APIs with Spring Boot Connect Spring Boot applications to databases using JPA and Hibernate Work confidently with DTOs, entities, repositories, and services Handle validation, errors, and HTTP status codes professionally Implement pagination, sorting, lazy loading, and performance optimization Write unit tests and integration tests using JUnit, Mockito, and H2 Improve performance using caching strategies with auto-eviction Secure APIs using Spring Security and JWT authentication Test secured endpoints and manage global security exceptions Use professional tools like Postman, Swagger (OpenAPI), and IntelliJ IDEA Apply clean code practices and modern Spring Boot utilities Integrate AI-powered features for intelligent task prioritization By the end of the course, you'll have built a fully functional, secure, and testable Spring Boot web applications, and you'll have a solid foundation to pursue backend developer roles or confidently level up your backend skills. If you're serious about becoming a Java backend developer, mastering Spring Boot is a must. Join the course and start building professional-grade Spring Boot web applications step by step. Who this course is for: Java developers who want to learn Spring Boot and transition into backend web development Backend developers who want to build secure, scalable REST APIs with Spring Boot Web developers looking to professionalize their backend skills using Java and Spring Boot Students and recent graduates seeking real-world backend development experience Self-taught programmers who want a structured Spring Boot and Java backend course Developers preparing for Spring Boot technical interviews and backend system design questions Software engineers interested in Spring Security, JWT authentication, testing, and performance optimization DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

CSS Demystified - Start writing CSS with confidence [Update 06/2026] English | Size: Genre: eLearning Start writing CSS with confidence is a CSS site design and programming course published by the famous YouTuber Kevin Powell. Kevin Powell is a well-known YouTube programmer and educator who has published valuable content in the field of front-end and website design, and his channel has more than 300,000 followers. CSS is one of the main pillars of web design and development along with HTML and JavaScript and plays an important role in the modern web world. There are several educational resources available on the Internet that teach CSS, but each of them has its drawbacks and disadvantages and can not prepare those interested in entering the job market. At first glance, CSS seems like a very simple and basic programming language, but with the experience of this attractive programming language, it becomes difficult and tedious. Learning the basics and application of CSS in web page layouts, animations, and the precise implementation of design ideas can have a profound effect on your career future. CSS is very sensitive and all its various elements interact with each other in such a way that a small change can have unwanted results and cause problems for the whole website. Focusing too much on front-end frameworks and libraries has led people to misunderstand CSS as a nuisance. Writing inappropriate and inefficient code can be very expensive in large-scale and large-scale projects and disrupt the overall project development process. During the training process of this course, you will encounter challenges and purposeful exercises, each of which has important points. What you will learn in Start writing CSS with confidence Familiarity with the core of the CSS programming language In-depth understanding of the challenges and limitations of CSS Familiarity with common mistakes and errors of programmers Build a beautiful yet responsive three-page website Page layout and layout of various website elements And . DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

AI Engineer Agentic Track: The Complete Agent & MCP Course | Udemy [Update 06/2026] English | Size: Genre: eLearning Master AI Agents in 30 days: build 8 real-world projects with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP. What you'll learn: Project 1: Career Digital Twin. Build and deploy your own Agent to represent you to potential future employers. Project 2: SDR Agent. An instant business application: create Sales Representatives that craft and send professional emails . Project 3: Deep Research. Make your own version of the essential Agentic use case: a team of Agents that carry out extensive research on any topic you choose. Project 4: Build a Stock Picker Agent in minutes with CrewAI-automate your search for investment gems! Project 5: Deploy your own 4-Agent Engineering Team-manage, build, and test software apps with CrewAI and Coder Agents in Docker! Project 6: Build your own version of OpenAI's Operator Agent-your Sidekick works with you inside your browser via LangGraph! Project 7: Agent Creator-an Agent that builds and launches new Agents using AutoGen, unlocking endless AI possibilities! Project 8: Capstone-build a Trading Floor with 4 Agents making autonomous trades, powered by 6 MCP servers and 44 tools! 2026 is nothing short of a watershed moment for AI Agents. It has never been more important to be an expert with Agentic AI. And that is precisely the goal of this course: to equip you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities. This is an intensive 6-week program to master Agentic AI. We start by building foundational expertise, connecting LLMs using proven design patterns. Then, each week, we upskill with new frameworks: OpenAI Agents SDK, CrewAI, LangGraph and Autogen. The course culminates with a full week on the remarkable opportunities opened up by MCP. Above all, this is a hands-on course. I'm a big believer that the best way to learn is by DOING. So please prepare to roll up your sleeves! We'll build 8 real-world projects; some are astonishing, some are intriguing, and some are quite surreal. But one thing's for sure: all are powerful demonstrations of Agentic AI's potential to utterly transform the business landscape. So come join me on this comprehensive 6-week journey. By the end, you will have mastered Agentic AI. You will have expertise in all the major frameworks. You'll be well-versed in the strengths and traps of Agentic AI. You'll confidently unleash Autonomous Agents to solve real-world commercial problems. And along the way, you'll have had a whole lot of fun with the astounding, groundbreaking technology that is Agentic AI. Who this course is for: Well, perhaps I'm biased, but I'd say: anyone and everyone! If you're fascinated in the potential of Agents and hungry to have the skills to create powerful Agentic AI - then you've come to the right place. While it's most suited to those with programming experience, I've designed the course to work for all backgrounds. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Claude AI Masterclass 2026: Prompting & API Development | Udemy [Update 05/2026] English | Size: Genre: eLearning Learn Claude AI, Prompt Engineering, APIs, AI Automation, AI Agents & Real-World Projects from Scratch What you'll learn: Master Prompt Engineering techniques to get accurate, reliable, and high-quality outputs from Claude AI Integrate Claude AI API using Python & JavaScript and build real-world AI-powered applications Create AI automation workflows and AI agents using LangChain, Make, Zapier & other tools Build practical AI solutions like chatbots, document analyzers, and multi-step AI systems from scratch This course contains the use of artificial intelligence. Welcome to Claude AI Masterclass 2026: Prompting & API Development - Your Complete Guide to Claude AI, Prompt Engineering & API Development Master Claude AI from scratch and build real-world AI applications, automation workflows, and intelligent agents using Anthropic's most powerful AI system. Who Is This Course For? Beginners who want to start using Claude AI confidently Developers who want to integrate Claude API into real applications Freelancers who want to build AI automation services for clients Content Creators who want to speed up their workflows using AI Business Owners who want to improve productivity and reduce manual work Students and Job Seekers looking to add high-demand AI skills to their resume No prior AI experience is required. We start from the basics and take you all the way to advanced AI development. What You Will Learn Claude AI fundamentals and core capabilities Prompt Engineering - Zero-Shot, Few-Shot and Chain-of-Thought techniques Anthropic Claude API integration and setup Python and JavaScript SDK with hands-on projects AI Chatbots and multi-turn conversation systems AI Automation workflows and document analysis LangChain and autonomous AI Agents Structured JSON data extraction Responsible AI and AI Safety concepts What Makes This Course Different? 100% Practical with real hands-on projects Beginner to Advanced - no experience needed Updated for 2026 with latest Claude AI models and API features Real-world projects you can add to your portfolio Lifetime access - learn at your own pace The demand for AI skills is growing faster than ever. Enroll now and start building the future with Claude AI today. Who this course is for: Anyone who wants hands-on practical experience with Claude AI, LangChain, automation, and real-world AI projects DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Cisco AUTOCOR 350-901: Complete Network Automation Course | Udemy [Update 06/2026] English | Size: Genre: eLearning Complete prep for the Cisco AUTOCOR v2.0 350-901 exam - Ansible, Terraform, RESTCONF, Python, Git, CI/CD, pyATS, and AI What you'll learn: Build network automation solutions using Ansible, Terraform, RESTCONF, and Python to manage VLANs, OSPF, ACLs, and interface configurations on Cisco devi Consume REST APIs at scale - implement token authentication, OAuth 2.0 flows, pagination, rate limiting with exponential backoff, and error handling in Python Design and operate GitLab CE CI/CD pipelines with build, prevalidation, deploy, and post-validation stages, and diagnose pipeline failures Apply Infrastructure as Code practices using Git version control, Cisco Modeling Labs for safe testing, Docker Compose for reproducible tooling, Netbox Harden automation solutions with secure coding practices - input validation, least-privilege authentication, secret management, and CA-signed TLS certificates Build an MCP server with Python FastMCP to expose network data to AI agents and construct a conversational LLM-based agent for network automation tasks Select the right automation approach for any technical or business requirement - IaC frameworks (Ansible/Terraform), low-code/no-code platforms, or Python apps This course contains the use of artificial intelligence. Pass the Cisco AUTOCOR v2.0 350-901 exam and earn your CCNP or CCIE Automation certification with this complete, structured preparation course. This course covers all four exam domains - Network Automation, Infrastructure as Code, Operations, and AI in Automation - aligned to the official Cisco blueprint for Designing, Deploying and Managing Network Automation Systems v2.0. Every section follows a consistent rhythm: a clear explanation, real runnable code examples, a written article summary, and a quiz with ten Cisco-style questions and fully explained answers. WHAT YOU WILL LEARN • Build network automation solutions with Ansible, Terraform, RESTCONF (RFC 8040), and Python - managing VLANs, OSPF, ACLs, interface settings, and asset inventory • Consume REST APIs at scale - handle authentication workflows (API key, Basic, token, OAuth 2.0), pagination, rate limiting, and error handling • Select the right automation approach for any technical or business requirement - IaC frameworks, low-code/no-code platforms, or custom Python applications • Use Git for version control - merge, squash, cherry-pick, reset, revert, and resolve conflicts • Build and diagnose GitLab CE CI/CD pipelines with build, prevalidation, deploy, and post-validation stages • Test automation safely using Cisco Modeling Labs (CML) and run tooling reproducibly with Docker Compose • Integrate a source of truth (NetBox/Nautobot) and construct correct YAML/JSON from YANG data models • Implement model-driven telemetry, syslog and webhook logging, and diagnose automation failures from logs • Validate network changes with pyATS CLI tools before and after deployment • Obtain and deploy CA-signed TLS certificates and implement secure coding practices - input validation, least-privilege authentication, and secret management • Build an MCP server with Python FastMCP to expose network data to AI agents • Construct a conversational agent using LLMs for network automation tasks • Evaluate the accuracy and security risks of AI-assisted code development WHO THIS COURSE IS FOR This course is designed for network engineers who already understand networking fundamentals and want to move into automation. Whether you are preparing for the AUTOCOR 350-901 exam, working toward CCNP Enterprise or CCIE Automation, or simply building automation skills to apply on the job, this course gives you both the exam knowledge and the practical understanding behind it. No prior automation experience is required - but familiarity with Cisco IOS, basic networking concepts (VLANs, OSPF, ACLs), and comfort reading command-line output will help you get the most from the material. WHAT IS INCLUDED • Video lessons covering every blueprint topic • Written article summaries for each section - optimized for Udemy's article format • 220 Cisco-style multiple-choice practice questions with fully explained answers - 10 per section across all 22 topics • Coverage of all four domains: 30% Network Automation, 30% Infrastructure as Code, 20% Operations, 20% AI in Automation The two ideas that run through the entire course are declarative vs. imperative automation and idempotency. Understand those, and the reasoning behind every exam question becomes clear. Who this course is for: Network engineers preparing for the Cisco AUTOCOR 350-901 exam and the CCNP or CCIE Automation certification Network engineers who want to move beyond manual CLI configuration and learn automation tools used in real production environments Engineers already working with Cisco IOS XE, ACI, Meraki, Catalyst Center, or SD-WAN who want to automate their day-to-day tasks CCNA-level or CCNP-level professionals looking to upskill into network automation, Infrastructure as Code, and CI/CD pipelines Anyone who wants hands-on experience with Ansible, Terraform, Python, Git, and GitLab pipelines in a network automation context Engineers curious about how AI and LLMs are being applied to network automation - including building MCP servers and conversational agents with FastMCP DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Snowflake SnowPro Core COF-C03: Concepts & Strategy | Udemy [Update 06/2026] English | Size: Genre: eLearning 1 day left!Consistency is key | Get started with courses from $12.99 until June 18. What you'll learn: Explain Snowflake's three-layer architecture and distinguish between editions, object types, and virtual warehouse configurations. Identify the right data loading method for any scenario: COPY INTO, Snowpipe, Snowpipe Streaming, Streams, Tasks, and Dynamic Tables. Distinguish between similar-sounding features - the most common exam trap - including Time Travel vs Fail-safe and result vs warehouse cache. Pass the SnowPro Core COF-C03 exam with confidence using targeted, exam-focused content aligned to all 5 official domains. Pass the SnowPro Core COF-C03 - by understanding it, not just memorising it Most SnowPro Core courses hand you a pile of practice questions and wish you luck. The problem? The newly released COF-C03 exam doesn't test whether you can memorise facts - it tests whether you can tell two similar-looking features apart under pressure. Is that a Time Travel scenario or a Fail-safe one? Result cache or warehouse cache? Snowpipe or Snowpipe Streaming? Masking policy or row access policy? Get these distinctions wrong and you lose marks. This course is built specifically around teaching you to spot and beat those traps. What makes this course different This is a taught course, not a question dump. Every one of the five official exam domains is explained from the ground up, with the emphasis placed exactly where the exam places it. You'll get: Clear concept explanations with High / Medium / Low priority indicators, so you spend your time where the marks are Hands on Labs - So you learn by DOING not just watching endless videos and demonstrations. Get your hands dirty! A "What the Exam Really Tests" summary for each topic - no padding, no theory you'll never be asked about Explicit trap callouts showing the exact distinctions examiners use to catch people out Annotated screenshots and inline SQL examples - no need to set up a complex lab to follow along 300+ practice questions mapped to the official domains, with a full explanation for every option, not just the correct one Five fully downloadable "Cheat Sheets" with a summary to help you revise the day before the exam Built around the real exam The course follows the official COF-C03 study guide domain by domain and weighting by weighting - from Architecture (31%) through to Data Collaboration (10%) - so your study time mirrors the exam itself. It was built from the ground up for the COF-C03 version, including the newer scenario-based question style. Who it's for Whether you're brand new to Snowflake or already using it day to day and want to validate your knowledge, this course meets you where you are. No programming experience needed. No hands-on lab required. Just clear teaching, honest exam strategy, and enough practice to walk in ready. Enrol now and pass first time - by actually understanding the platform, not just guessing the answers. Who this course is for: Data professionals new to Snowflake who want a structured, exam-focused path to achieving the SnowPro Core COF-C03 certification. Snowflake users with hands-on experience who want to validate their knowledge and fill gaps before sitting the official certification exam. Data engineers, analysts, and architects looking to add a recognised cloud data platform certification to their professional profile. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

ServiceNow Real-Time Scenarios Masterclass | Udemy [Update 06/2026] English | Size: Genre: eLearning 1 day left!Consistency is key | Get started with courses from $12.99 until June 18. What you'll learn: Understand practical ways to load data into ServiceNow using live scenarios Learn multiple ServiceNow data import techniques through real demos Develop problem-solving skills for real-world data migration requirements Understand when to choose different data loading approaches Gain confidence in handling ServiceNow import and migration tasks Improve practical implementation knowledge for projects and interviews Welcome to ServiceNow Data Load Scenarios Masterclass, your practical guide to mastering data loading in ServiceNow through real-world implementation scenarios. This course is designed for learners who want practical understanding instead of theory. Every lesson focuses on solving a real business problem through live demos while showing different ways to load data into ServiceNow. You will learn how professionals handle real-world data import and migration requirements using multiple ServiceNow techniques depending on the business use case. Rather than just teaching buttons and features, this course explains practical scenarios and demonstrates complete implementation from start to finish. Each module follows a problem-first approach where we take a business requirement, analyze the challenge, and then solve it using appropriate ServiceNow data loading methods in a live environment. This course is ideal for those preparing for interviews, working on projects, or wanting stronger practical implementation knowledge. By the end of this course, you will understand how to confidently choose the right data loading method based on business requirements and execute real ServiceNow data migration and import tasks effectively. You will also gain exposure to practical decision-making techniques used by professionals while selecting the best approach for different enterprise scenarios. Join now and master ServiceNow data loading with practical scenario-based learning. Who this course is for: ServiceNow beginners wanting practical implementation exposure Developers learning data import and migration concepts Admins handling ServiceNow data loading tasks Professionals preparing for ServiceNow interviews and projects DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to