franktuchel

[center][img][Hidden Content]] [center][b]GCP Terraform on Google Cloud:DevOps SRE 30 Real-World Demos | Udemy[/b] English | Size: 8 GB Genre: eLearning[/center] [NEW-JULY2024] Learn Terraform on GCP: Master DevOps, SRE, and IaC skills with 30 real-world demos from DNS to DB. [b]What you'll learn[/b] You will learn to execute fundamental Terraform commands such as init, validate, plan, apply, and destroy. You will learn to understand the basics of Terraform language and its syntax. You will learn to utilize input variables and output values to parameterize and retrieve data in Terraform configurations. You will learn to leverage the count meta-argument to create multiple resources dynamically. You will learn to use Terraform data sources to fetch data from external systems. You will implement the for_each meta-argument to iterate over collections and create resources. You will learn to define and use local values in Terraform and work with GCP Instance Templates. You will configure and manage GCP Managed Instance Groups using Terraform. You will set up a GCP Regional Application Load Balancer using Terraform You will implement a GCP Managed Instance Group with Private IP, Cloud NAT, and Cloud Router. You will use GCP Certificate Manager to create self-signed SSL certificates for Regional ALBs. You will integrate GCP Cloud DNS with Certificate Manager to obtain production-grade SSL certificates. You will configure GCP Load Balancers with context path-based routing. You will implement domain name-based routing with GCP Load Balancers. You will set up header-based routing on GCP Load Balancers. You will send application logs to GCP Cloud Logging for centralized log management. You will implement GCP Cloud Monitoring with uptime checks, alert policies, and custom metrics. You will configure GCP Cloud SQL with Public IP and use Cloud Storage as Terraform remote backend. You will deploy an end-to-end application with DNS, self-signed SSL, UMS, and Cloud SQL Public IP. You will secure your application with production-grade SSL certificates using Cloud SQL Public IP. You will set up GCP Cloud SQL with Private IP for enhanced security. You will integrate self-signed SSL, UMS, and Cloud SQL Private IP for a complete deployment. You will secure the entire stack with production-grade SSL, UMS, and Cloud SQL Private IP. You will utilize public Terraform modules from the Terraform Registry. You will create custom Terraform modules for VM instances. You will implement GCP DevOps using Cloud Build and GitHub to automate Terraform code deployments. You will set up and manage a GCP Global Application Load Balancer Course Modules Demo-01: Install CLI Tools: gcloud CLI, Terraform CLI, VSCode Editor Demo-02: Terraform Commands (init, validate, plan, apply and destroy) Demo-03: Terraform Language Basics Demo-04: Teraform Meta-Argument - Provider (Multiple Providers Demo) Demo-05: Terraform Input Variables and Output Values Demo-06: Terraform Meta-argument: count Demo-07: Terraform Datasources Demo-08: Terraform Meta-argument: for_each Demo-09: Terraform Local Values, GCP Instance Templates Demo-10: GCP Managed Instance Groups with Terraform Demo-11: GCP Regional Application Load Balancer HTTP Demo-12: GCP MIG Private IP with Cloud NAT and Cloud Router Demo-13: GCP Managed Instance Group Update Policy Demo-14: GCP Certificate Manager with Self-signed SSL for Regional ALB Demo-15: GCP Cloud Domains and Cloud DNS Demo-16: GCP Cloud DNS + Certificate Manager Production grade SSL Certificates Demo-17: GCP Load Balancer with Context Path-based Routing Demo-18: GCP Load Balancer with Domain Name based Routing Demo-19: GCP Load Balancer with Header based Routing Demo-20: GCP Cloud Logging - Send Application Logs to Cloud Logging Demo-21: GCP Cloud Monitoring: Uptime Checks, Alert Policy and Metrics Demo-22: GCP Cloud SQL Public IP + Terraform Remote Backend as Cloud Storage Demo-23: DNS To DB: LB (Self-signed SSL) + UMS + Cloud SQL Public IP Demo-24: DNS To DB: LB (Production grade SSL) + UMS + Cloud SQL Public IP Demo-25: GCP Cloud SQL Private IP Demo-26: DNS To DB: LB (Self-signed SSL) + UMS + Cloud SQL Private IP Demo-27: DNS To DB: LB (Production grade SSL) + UMS + Cloud SQL Private IP Demo-28: Terraform Modules: Use Public modules from Terraform Registry Demo-29: Terraform Modules: Create Terraform Custom Module for VM Instance Demo-30: GCP DevOps with Cloud Build and GitHub for Terraform Code Demo-31: GCP Global Application Load Balancer HTTP Terraform Concepts covered Terraform Commands Terraform Providers Terraform Settings Block Terraform Resources Terraform Local Backends Terraform Remote Backends Terraform Input Variables Terraform Output Values Terraform Local Values Terraform Remote State Datasource Terraform Template Functions Terraform Meta-argument Provider Terraform Meta-argument count Terraform Meta-argument for_each Terraform Datasources Terraform Public Modules Terraform Custom Modules Development Terraform Functions Google Cloud Services covered Google Compute Engine VM Instances Google Compute Engine VM Instance Templates Google Compute Engine Health Checks Google Compute Engine Instance Groups Google Compute Engine Persistent Disks Google Cloud VPC Google Cloud Firewalls Google Cloud Storage Google Cloud Monitoring Google Cloud Logging Google Cloud Load Balancing Google Cloud IAM Google Cloud Domains Google Cloud DNS Google Cloud NAT Google Cloud Router Google Cloud External IP Google Cloud Build Google Cloud Certificate Manager Google VPC Private Service Connection Each of my courses comes with Amazing Hands-on Step By Step Learning Experiences Practical demos for each and every concept Friendly Support in the Q&A section "30-Day "No Questions Asked" Money Back Guaranteed by Udemy" [b]Who this course is for:[/b] This course is designed for students who are planning to automate Google Cloud Infrastructure using Terraform Students who planning to learn Terraform on Google Cloud Platform [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]YouTube Startrack For Beginners: Launch Your Channel Today | Udemy[/b] English | Size: 4.22 GB Genre: eLearning[/center] Monetize Your YouTube Channel, Get More Subscribers, and Engage with Audience After This Course [b]What you'll learn[/b] Effective strategies for YouTube monetization Everything you need to know about YouTube membership How to optimize your YouTube channel How to write engaging titles, descriptions, and thumbnails for YouTube What YouTube key metrics should you pay attention to? How to optimize your content strategy on YouTube Everything you need to know about marketing research on YouTube And much more Unlock the secrets to YouTube success with this comprehensive course designed for beginners and those looking to elevate their channel. In just a few hours, you'll learn the essentials of YouTube channel creation, optimization, and growth strategies. Through practical tips and step-by-step guides, you'll gain the confidence to produce high-quality videos and attract a loyal audience. Whether you're starting from scratch or aiming to improve your existing channel, this course provides the tools and knowledge you need to thrive on YouTube. Don't miss this chance to turn your passion into a thriving online presence! Enroll now to gain new knowledge! In this course, we'll start with monetization strategies and YouTube SEO and finish up by marketing research! With our course, you will gain foundational knowledge of how to optimize your YouTube channel, monetize it, engage with your audience and achieve amazing results on YouTube. Meet your instructor! Andrii Salii is a YouTube Producer with a three years of hands-on experience scaling YouTube projects in views, watch time, and revenue. He consulted for over 75 channels, scaling four to Silver Buttons and one to a Golden Button. Andrii helps channels to grow faster and will help you to get maximum of your YouTube strategy today. Throughout the course, the Andrii will provide numerous examples; therefore, he prepared some additional materials for you to help you learn the Youtube marketing easier and faster. Who is this course for? For everyone who is thrilled to create their own channel on YouTube and monetize it For YouTubers who want to upgrade their skills and achieve more results from their work Moreover, there are no special requirements for taking this course! Just enroll today and let's start our journey on YouTube together! Our YouTube marketing course includes: Theory and Practice: 3+ hours of lectures with many examples. Lessons range from 5 to 15 minutes and are easy to follow. Lifetime access to the course and any future updates. Support: If you have any questions, I will always be willing to answer them. Complete the course and receive an Udemy certificate. What will students discover throughout this course? Effective strategies for YouTube monetization Everything you need to know about YouTube membership How to optimize your YouTube channel How to write engaging titles, descriptions, and thumbnails for YouTube What YouTube key metrics should you pay attention to? How to optimize your content strategy on YouTube Everything you need to know about marketing research on YouTube And much more. Do you need to be concerned? This course comes with a 30-day money-back guarantee. Join our course today to learn how to launch your channel successfully on YouTube! Who this course is for: For everyone who is thrilled to create their own channel on YouTube and monetize it For YouTubers who want to upgrade their skills and achieve more results from their work [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]MQL5 MACHINE LEARNING 02: Deep Learning For Algo-Trading | Udemy[/b] English | Size: 2.78 GB Genre: eLearning[/center] A complete guide to coding deep learning algorithms using the MQL5 Algorithmic trading language [b]What you'll learn[/b] The applications of Deep learning in Algorithmic trading How to code a Deep neural network in Excel spreadsheets How to code a Deep neural network in MQL5 How to develop a Machine learning model and design it The forex market, a dynamic beast fueled by a complex web of data, demands a keen eye for intricate patterns and the agility to adapt. While traditional methods have served us well, their limitations become apparent in this ever-evolving landscape. These limitations have been overcome by the development of Deep Neural Networks (DNNs), a revolutionary approach poised to transform the forex trading landscape. In the previous courses on Neural networks, we only managed to create perceptrons, by taking input data, passing it through activation functions and getting outputs or predictions. These basically did hidden layer calculations without actual hidden layers. Hence we can liken perceptrons to single or lone traders who analyze charts, limited by its ability to do more work and specialize. Deep NNs, however, are like a collaborative team of analysts. With Information flowing from one expert analyst to another through their layered architecture, each layer building upon the insights or work done by the previous one. It's like a team identifying specific puzzle pieces, working together to reveal the bigger picture with remarkable clarity. This layered structure empowers DNNs to tackle problems that would leave a single perceptron incompetent. They excel at unveiling hidden trends, sifting through vast datasets and uncovering hidden correlations and patterns that escape the human eye. A DNN, by analyzing a broader range of data points and their relationships, could potentially identify small data relationships and adjust predictions accordingly. This course builds on your existing knowledge of neural networks to take you on a deep dive into Deep Neural Networks (DNNs) for forex trading. You'll learn to code your own DNNs using MQL5, a programming language for MetaTrader platforms. We'll start with a basic DNN built in Excel, providing a foundation for the more complex coding in MQL5. This hands-on exercise will focus on a real-world forex trading problem, showcasing the practical applications of DNNs. In Excel, you'll explore the forward pass, backpropagation for updating weights and biases, and gradient descent for training the network. Equipped with this knowledge, you'll transition to coding DNNs in MQL5. We'll cover designing the network, setting general parameters, and constructing a tensor for data storage. You'll learn to collect and prepare input data, including randomization and normalization. The course will then guide you through the forward pass and backpropagation in MQL5, along with extracting signals and visualizing predictions. By the end, you'll not only understand the theory of DNNs but also be able to code them for forex trading. So what are you waiting for? Click hard on that enroll button now and join us in this wonderful journey of coding a deep neural network in MQL5 [b]Who this course is for:[/b] Anyone willing to learn Deep learning in MQL5 [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]PySpark - Apache Spark Programming in Python for beginners | Udemy [Update 09/2023][/b] English | Size: 4.48 GB Genre: eLearning[/center] Master Apache Spark Programming in Python (PySpark) Using Free Databricks Community for Beginners with Capstone Project [b]What you'll learn[/b] Apache Spark Foundation and Spark Architecture Data Engineering and Data Processing in Spark Working with Data Sources and Sinks Working with Data Frames and Spark SQL Using PyCharm IDE for Spark Development and Debugging Unit Testing, Managing Application Logs and Cluster Deployment This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course. About the Course I am creating PySpark - Apache Spark Programming in Python for beginners course to help you understand Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session-like approach. We will be taking a live coding approach and explaining all the needed concepts along the way. Who should take this Course? I designed this course for software engineers willing to develop a Data Engineering pipeline and application using Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level. Spark Version used in the Course This Course is using the Apache Spark 3.5. I have tested all the source code and examples used in this Course on Apache Spark 3.5 in the Databricks environment. [b]Who this course is for:[/b] Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Powerlynx with MikroTik for WiFi hotspot management | Udemy [Update 07/2024][/b] English | Size: 1.98 GB Genre: eLearning[/center] A fully sponsored course by Powerlynx to learn how to run a profesional WiFi Hotspot using Powerlynx software [b]What you'll learn[/b] Setting up Powerlynx hotspot management software with MikroTik Connecting Powerlynx software and MikroTik router Create Data plans on Powerlynx for WiFi hotspot Create Vouchers on Powerlynx for WiFi hotspot Configure Hotspot advertisement using video and image in Powerlynx Know how to enable SMS Gateway on Powerlynx Know how to configure payment gateways on Powerlynx using Stripe and PayPal Know how to configure notification with Powerlynx Running a WiFi hotspot is always a challange, but at the same time it is a source to make a good revenue specially in areas where internet connection is not available. For this reason, I have decided to record this course speaking about the excellent WiFi hostspot mangement software which is Powerlynx. NOTE: This course is fully sponsored and accredited by Powerlynx company (its other name is Splynx) and it has been approved by them. Powerlynx will distribute this course to its customers who are using Powerlynx in order for them to have a step by step tutorial of their software. Back to Powerlynx, it is a hotspot management software on the cloud in which you can add as many hotspots you want and to make them all configured in one software. The beaty of Powerlynx is its simplicity and its richness as for the available features. Think of a customized splash page, SMS gateway, Stripe and Paypal possible payments, possibility to make adverstiment on the WiFi hotspot using a video or an image, possibility to let your connected customers be notified whenever they reach close to their bandwidth threshold, etc... All those features and much more are on Powerlynx. In this course, I am going to work on MikroTik with Powerlynx as MikroTik is being recommended by Powerlynx. Finally, if you wish to have a complete solution for WiFi hotspot and be able to configure Powerlynx correct, then this course is for you. [b]Who this course is for:[/b] Companies who wish to run a WiFi hotspot solution ISPs and WISP's who wish to run a hotspot solution Internet cafes and small entrepreneurs who wish to start a business with WiFi hotspot [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]SuiteCRM Data Architecture Success | Udemy [Update 06/2024][/b] English | Size: 1.04 GB Genre: eLearning[/center] Concept to Implementation: Master CRM Data Architecture and Custom Modules in SuiteCRM with Real-World Examples [b]What you'll learn[/b] Grasp the core principles and concepts of Customer Relationship Management (CRM) and how they apply to SuiteCRM. Learn essential (relational) data modelling techniques to effectively organize and structure data within SuiteCRM. Acquire the skills to design and build custom modules tailored to specific business needs using real-world project examples. Get an overview of the importance of data architecture for integration and reporting Unlock the full potential of SuiteCRM with my comprehensive course, "SuiteCRM Data Architecture Success." This course is perfect for CRM professionals to be, data architects and anybody in charge of planning and maybe implementing the CRM. I will guide you from the basics to advanced implementation techniques. By the end, you'll know how to optimize your CRM's data structure and create custom modules for your business. SuiteCRM Fundamentals and Data Architecture Start with the basics of SuiteCRM. Learn how to navigate the interface, how the standard modules relate to each other and how things work. I'll explain the CRM system's architecture. This foundation will prepare you for the more advanced topics ahead. Relational Data Modelling Data modeling is key to any CRM system. In this section, I'll teach you how to structure your data effectively within SuiteCRM. You'll learn about entities, attributes and relationships. With practical examples, you'll design efficient data models that support your business processes and enhance data integrity. Practical Demos of Building Custom Modules Used in Actual Projects See theory in action. I'll show you how to build custom modules step-by-step, using real-world project examples. From simple custom modules to complex relationships, you'll learn how to implement data models and customize SuiteCRM. These practical demos will give you the confidence to develop and deploy custom solutions in your own SuiteCRM environment. By the end of this course, you'll transform from knowing nothing about CRM to being able to conceptualize and build your own CRM system. Whether you want to improve data management, increase efficiency, or create tailored solutions for your business, this course will give you the tools and knowledge to succeed. Enroll now and start mastering SuiteCRM data architecture and custom module development. [b]Who this course is for:[/b] SuiteCRM Admins SuiteCRM product owners Everybody who is in charge of concept and implementation of the CRM system [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]C Programming Language for beginners | Udemy [Update 06/2024][/b] English | Size: 275 MB Genre: eLearning[/center] Master C Programming Language and data structure and algorithm [b]What you'll learn[/b] Learn about conditional statements and loops Learn about Basics of C programming language Learn about data types and variables Learn about collections and list in C programming language You will be learning about C Programming Lanagues. C programming language is a cornerstone of computer science and software engineering. Its combination of low-level access, efficiency, portability, and simplicity has ensured its enduring legacy. As both a historical artifact and a practical tool, C remains indispensable in the education and practice of programming, shaping the development of technology and the skills of programmers worldwide. One of the defining characteristics of C is its close relationship with the hardware. Unlike higher-level languages, C allows for direct manipulation of memory through the use of pointers, which gives programmers fine-grained control over system resources. This capability makes C an ideal choice for system-level programming, including operating systems, embedded systems, and real-time applications. The UNIX operating system, for example, was rewritten in C, demonstrating its power and flexibility. C is known for its simplicity and minimalism. It provides a small set of keywords and constructs, which makes the language relatively easy to learn but challenging to master. The language supports structured programming with its use of functions, loops, conditionals, and local variables, encouraging clear and maintainable code. C remains highly relevant in contemporary programming. It continues to be used extensively in the development of operating systems, embedded systems, and performance-critical applications. [b]Who this course is for:[/b] Anyone who wants to learn C Programming Language, this course is for you! [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]45-Day Arduino Bootcamp | Udemy [Update 07/2024][/b] English | Size: 20.2 GB Genre: eLearning[/center] Comprehensive Bootcamp: Learn Arduino Programming, Electronics, and Project Development [b]What you'll learn[/b] Understand the basics of Arduino programming and electronics. Set up and configure an Arduino board for various projects. Design, create, and test Arduino-based projects. Apply advanced programming techniques to develop innovative Arduino applications. Unlock the Power of Arduino and Transform Your Ideas into Reality! Welcome to the Master Arduino in 45 Days Bootcamp! This comprehensive course is designed to take you from a beginner to an advanced Arduino programmer in just 45 days. Whether you're a hobbyist, student, or professional, this bootcamp will provide you with the skills and knowledge you need to bring your creative ideas to life. Course Highlights: 40+ hours of in-depth video content covering everything from the basics of Arduino to advanced programming techniques. Step-by-step instructions to set up and test your Arduino to ensure you are ready to start building projects immediately. Learn to plan, create, film, and edit your projects, making your learning process not only educational but also practical and hands-on. A well-structured curriculum that guides you through each phase of learning, ensuring a smooth and comprehensive learning experience. Optional captions and accessibility features to support all learners. About the Instructor: The Educational Engineering Team has years of experience in teaching Arduino and electronics. With a passion for technology and a knack for making complex topics easy to understand, the team is dedicated to helping you succeed. What Students Are Saying: "This bootcamp exceeded my expectations. The step-by-step instructions and practical projects helped me understand Arduino like never before!" - Jane D. "I was a complete beginner, but now I feel confident in my Arduino skills. Highly recommended!" - Mark S. Ready to Get Started? Enroll Now and take the first step towards mastering Arduino and bringing your innovative ideas to life! What You Will Learn The fundamentals of Arduino programming and electronics How to set up and configure your Arduino Creating and testing your own Arduino projects Advanced programming techniques and project development Filming and editing your projects for presentation Who Is This Course For Beginners who want to start learning Arduino from scratch Students looking to enhance their electronics and programming skills Hobbyists interested in building and designing their own projects Professionals seeking to incorporate Arduino into their work or projects Requirements Basic understanding of electronics (optional but helpful) An Arduino starter kit (recommended) A computer with internet access Enthusiasm to learn and create [b]Who this course is for:[/b] Beginners who want to start learning Arduino from scratch. Students looking to enhance their electronics and programming skills. Hobbyists interested in building and designing their own Arduino projects. Professionals seeking to incorporate Arduino into their work or projects. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Software Architecture & Technology of Large-Scale Systems [Update 03/2023] | Udemy[/b] English | Size: Genre: eLearning[/center] [b]What you'll learn[/b] Architecting Software Systems and Solutions: We will start with a basic three tier application architecture which we will enhance as we move along. How to build a technical stack by getting architectural insights into products like Nodejs, Redis, Cassandra, Kafka, Hadoop, Elastic Search, .. and many more Non-Functional Requirements: How to design architecture considering Performance, Scalability, Reliability, and Security Deployment of large scale production systems using tools like Docker & Kubernetes Architecting software systems is a skill that is in huge demand, but it is not a readily available skill. To understand why this skill is rare to find, let's go through a few lines from Martin Fowler's blog on architecture. He says: Architecture is about the important stuff. Whatever that is. It means that the heart of thinking architecturally about software is to decide what is important, (i.e. what is architectural), and then expend energy on keeping those architectural elements in good condition. For a developer to become an architect, they need to be able to recognize what elements are important, recognizing what elements are likely to result in serious problems should they not be controlled. It takes a number of years for a developer to learn enough to become an architect. This learning largely depends on the kind of opportunities that you get in your career. Often these opportunities are limited to specific areas of work only. However, to be an architect, you must possess extensive technical knowledge of as many areas as possible. You must understand all the complexities and challenges in different parts of a system. You need the ability to make upfront decisions by understanding various trade-offs. You should be able to foresee or anticipate critical problems that a system can face during its evolution. This is where the 'Developer To Architect' course can be very useful for you. It assumes that you already have great development skills, and it builds from there. It extensively covers architecting non-functional properties of a system, handling of large-scale deployments, and internal working of popular open-source products for building software solutions. To give you some details of what is specifically covered: Architecting non-functional properties like Performance, Scalability, Reliability, Security. Large-scale deployment and operations using Docker containers and Kubernetes. Internal working of popular open-source products like Node.js, Redis, Kafka, Cassandra, ELK stack, Hadoop, etc for confidently architecting software solutions. In short, this course will help you learn everything you need to become a 'true' architect in a very short period of time. [b]Who this course is for:[/b] All Software Developers who already know Code Design and now want to learn how to Architect Large-Scale Systems All Software Architects who want to polish their Software Architecture and Solution Architecture skills [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]letsgetrusty - Rust Developer Bootcamp [Update 01/2024][/b] English | Size: 2.7 GB Genre: eLearning[/center] Rust Developer Bootcamp course. This bootcamp course will help you learn the Rust programming language in the shortest possible time and using high-quality resources. This course is very useful for students, graduates and job seekers. Learning Rust can boost your resume and set you apart from other applicants. After completing this course, you will become a skilled programmer and gain access to a community that can help you land your first job. [b]What you will learn[/b] Introductory Module: Get Started Fast! Memory safety in Rust Create your own data types Intermediate Module: Polymorphism with Generics and Traits Advanced memory management Understanding error handling in Rust [b]This course is suitable for people who[/b] Job Seekers/Grads: Learning Rust can greatly enhance your resume. Stand out from other applicants. Become a skilled programmer. Access a community that can help you find your first job. Experienced developers looking to switch to Rust: Learn the language of the future. Rust Enthusiasts: Rust is an innovative language that expands the way you think. Advanced technologies are built with Rust. Collaborate with other Rust enthusiasts in the Bootcamp community. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Mastering OpenGL for Graphics Programming | Udemy [Update 06/2024][/b] English | Size: 3.4 GB Genre: eLearning[/center] Unlock the power of OpenGL and create stunning graphics with our comprehensive course! [b]What you'll learn[/b] Understanding the fundamentals of OpenGL Setting up an OpenGL development environment Drawing basic shapes using Modern OpenGL Managing vertex buffers and attributes Writing and utilizing shaders in OpenGL Handling errors in OpenGL applications Organizing code efficiently with classes and abstractions Implementing textures in OpenGL Working with GLM for matrix operations Using ImGUI for creating graphical user interfaces Welcome to "Mastering OpenGL for Graphics Programming," your comprehensive guide to harnessing the power of OpenGL for creating stunning 2D and 3D graphics. This course is meticulously designed to take you from the basics to advanced concepts, providing you with the knowledge and skills needed to excel in graphics programming. OpenGL is the industry's leading cross-platform API for rendering vector graphics, widely used in gaming, simulation, and virtual reality applications. Whether you're a beginner looking to break into the world of graphics programming or an experienced developer aiming to refine your skills, this course offers something for everyone. Throughout this course, you will embark on a journey through the fundamental aspects of OpenGL, starting with setting up your development environment and progressing to more complex topics like vertex buffers, shading, texturing, and code organization. Each section is designed to build on the previous one, ensuring a smooth and logical progression of concepts and techniques. By the end of this course, you will have a deep understanding of OpenGL's capabilities and be well-equipped to create your own sophisticated graphics applications. Let's dive in and start your journey towards becoming an OpenGL expert! Section 1: OpenGL - Introduction In this introductory section, students will get acquainted with OpenGL, the premier cross-platform API for rendering 2D and 3D vector graphics. Beginning with a thorough introduction to OpenGL and its importance in the graphics programming landscape, this section covers the essentials of setting up OpenGL on your development environment. Students will also learn how to set up GLEW (OpenGL Extension Wrangler Library) to manage OpenGL extensions efficiently. By the end of this section, students will have drawn their first triangle in modern OpenGL, laying the foundation for more complex graphics programming. Section 2: OpenGL - Vertex Buffers This section delves into the core concepts of vertex buffers in OpenGL. Students will explore vertex attributes and shaders, understanding how they interact to produce graphical output. The section includes writing and organizing shaders, with practical exercises on creating and managing vertex and index buffers. Error handling is also emphasized, ensuring students can troubleshoot and debug their OpenGL applications effectively. This foundational knowledge is critical for developing robust and efficient graphics programs. Section 3: OpenGL - Code Organization Effective code organization is crucial for managing complex OpenGL projects. In this section, students will learn about uniforms, vertex arrays, and how to abstract vertex and index buffers into manageable classes. The lectures will guide students through abstracting vertex arrays and shader code, ensuring their OpenGL code is modular, maintainable, and scalable. By the end of this section, students will be capable of implementing a simple renderer, streamlining the process of drawing objects in OpenGL. Section 4: OpenGL - Texturing The final section of the course focuses on texturing, a key aspect of making 3D graphics look realistic and visually appealing. Students will learn about texture mapping, including how to load and apply textures to 3D objects. The section covers the GLM (OpenGL Mathematics) library for handling complex mathematical operations, and the creation of projection, model, and view matrices to manage object transformations. The section concludes with an introduction to ImGUI, a bloat-free graphical user interface library for C++, which is useful for creating custom user interfaces for OpenGL applications. By the end of this course, students will have a solid understanding of OpenGL and its various components, enabling them to create sophisticated graphics applications with confidence. [b]Who this course is for:[/b] Beginners interested in learning OpenGL C++ programmers looking to expand their skills into graphics programming Computer Science students studying computer graphics Game developers wanting to understand the fundamentals of OpenGL Hobbyists and enthusiasts eager to create 3D graphics Professionals seeking to refresh their knowledge in modern OpenGL Anyone interested in creating visually appealing graphics and applications [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]The Data Analyst Course: Complete Data Analyst Bootcamp | Udemy [Update 07/2024][/b] English | Size: 9.16 GB Genre: eLearning[/center] Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization [b]What you'll learn[/b] The course provides the complete preparation you need to become a data analyst Fill up your resume with in-demand data skills: Python programming, NumPy, pandas, data preparation - data collection, data cleaning, data preprocessing, data visualization; data analysis, data analytics Acquire a big picture understanding of the data analyst role Learn beginner and advanced Python Study mathematics for Python We will teach you NumPy and pandas, basics and advanced Be able to work with text files Understand different data types and their memory usage Learn how to obtain interesting, real-time information from an API with a simple script Clean data with pandas Series and DataFrames Complete a data cleaning exercise on absenteeism rate Expand your knowledge of NumPy - statistics and preprocessing Go through a complete loan data case study and apply your NumPy skills Master data visualization Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts Engage with coding exercises that will prepare you for the job Practice with real-world data Solve a final capstone project The problem Most data analyst, data science, and coding courses miss a critical practical step. They don't teach you how to work with raw data, how to clean, and preprocess it. This creates a sizeable gap between the skills you need on the job and the abilities you have acquired in training. Truth be told, real-world data is messy, so you need to know how to overcome this obstacle to become an independent data professional. The bootcamps we have seen online and even live classes neglect this aspect and show you how to work with 'clean' data. But this isn't doing you a favour. In reality, it will set you back both when you are applying for jobs, and when you're on the job. The solution Our goal is to provide you with complete preparation. And this course will turn you into a job-ready data analyst. To take you there, we will cover the following fundamental topics extensively. Theory about the field of data analytics Basic Python Advanced Python NumPy Pandas Working with text files Data collection Data cleaning Data preprocessing Data visualization Final practical example Each of these subjects builds on the previous ones. And this is precisely what makes our curriculum so valuable. Everything is shown in the right order and we guarantee that you are not going to get lost along the way, as we have provided all necessary steps in video (not a single one skipped). In other words, we are not going to teach you how to analyse data before you know how to gather and clean it. So, to prepare you for the entry-level job that leads to a data science position - data analyst - we created The Data Analyst Course. This is a rather unique training program because it teaches the fundamentals you need on the job. A frequently neglected aspect of vital importance. Moreover, our focus is to teach topics that flow smoothly and complement each other. The course provides complete preparation for someone who wants to become a data analyst at a fraction of the cost of traditional programs (not to mention the amount of time you will save). We believe that this resource will significantly boost your chances of landing a job, as it will prepare you for practical tasks and concepts that are frequently included in interviews. The topics we will cover 1. Theory about the field of data analytics 2. Basic Python 3. Advanced Python 4. NumPy 5. Pandas 6. Working with text files 7. Data collection 8. Data cleaning 9. Data preprocessing 10. Data visualization 11. Final practical example 1. Theory about the field of data analytics Here we will focus on the big picture. But don't imagine long boring pages with terms you'll have to check up in a dictionary every minute. Instead, this is where we want to define who a data analyst is, what they do, and how they create value for an organization. Why learn it? You need a general understanding to appreciate how every part of the course fits in with the rest of the content. As they say, if you know where you are going, chances are that you will eventually get there. And since data analyst and other data jobs are relatively new and constantly evolving, we want to provide you with a good grasp of the data analyst role specifically. Then, in the following chapters, we will teach you the actual tools you need to become a data analyst. 2. Basic Python This course is centred around Python. So, we'll start from the very basics. Don't be afraid if you do not have prior programming experience. Why learn it? You need to learn a programming language to take full advantage of the data-rich world we live in. Unless you are equipped with such a skill, you will always be dependent on other people's ability to extract and manipulate data, and you want to be independent while doing analysis, right? Also, you don't necessarily need to learn many programming languages at once. It is enough to be very skilled at just one, and we've naturally chosen Python which has established itself as the number one language for data analysis and data science (thanks to its rich libraries and versatility). 3. Advanced Python We will introduce advanced Python topics such as working with text data and using tools such as list comprehensions and anonymous functions. Why learn it? These lessons will turn you into a proficient Python user who is independent on the job. You will be able to use Python's core strengths to your advantage. So, here it is not just about the topics, it is also about the depth in which we explore the most relevant Python tools. 4. NumPy NumPy is Python's fundamental package for scientific computing. It has established itself as the go-to tool when you need to compute mathematical and statical operations. Why learn it? A large portion of a data analyst's work is dedicated to preprocessing datasets. Unquestionably, this involves tons of mathematical and statistical techniques that NumPy is renowned for. In addition, the package introduces multi-dimensional array structures and provides a plethora of built-in functions and methods to use while working with them. In other words, NumPy can be described as a computationally stable state-of-the-art Python instrument that provides flexibility and can take your analysis to the next level. 5. Pandas The pandas library is one of the most popular Python tools that facilitate data manipulation and analysis. It is very valuable because you can use it to manipulate all sorts of information - numerical tables and time series data, as well as text. Why learn it? Pandas is the other main tool an analyst needs to clean and preprocess the data they are working with. Its data manipulation features are second to none in Python because of the diversity and richness it provides in terms of methods and functions. The combined ability to work with both NumPy and pandas is extremely powerful as the two libraries complement each other. You need to be capable to operate with both to produce a complete and consistent analysis independently. 6. Working with text files Exchanging information with text files is practically how we exchange information today. In this part of the course, we will use the Python, pandas, and NumPy tools learned earlier to give you the essentials you need when importing or saving data. Why learn it? In many courses, you are just given a dataset to practice your analytical and programming skills. However, we don't want to close our eyes to reality, where converting a raw dataset from an external file into a workable Python format can be a massive challenge. 7. Data collection In the real world, you don't always have the data readily available for you. In this part of the course, you will learn how to retrieve data from an API. Why learn it? You need to know how to source your data, right? To be a well-rounded analyst you must be able to collect data from outside sources. This is rarely a one-click process. This section aims at providing you with all the necessary tools to do that on your own. 8. Data cleaning The next logical step is to clean your data. This is where you will apply the pandas skills acquired earlier in practice. All lessons throughout the course have a real-world perspective. Why learn it? A large part of a data analyst's job in the real world involves cleaning data and preparing it for the actual analysis. You can't expect that you'll deal with flawless data sources, right? So, it will be up to you to overcome this stage and clean your data. 9. Data preprocessing Even when your dataset is clean and in an understandable shape, it isn't quite ready to be processed for visualizations and analysis just yet. There is a crucial step in between, and that's data preprocessing. Why learn it? Data preprocessing is where a data analyst can demonstrate how good or great they are at their job. This stage of the work requires the ability to choose the right statistical tool that will improve the quality of your dataset and the knowledge to implement it with advanced pandas and NumPy techniques. Only when you've completed this step can you say that your dataset is preprocessed and ready for the next part, which is data visualization. 10. Data visualization Data visualization is the face of data. Many people look at the data and see nothing. The reason for that is that they are not creating good visualizations. Or even worse - they are creating nice graphs but cannot interpret them accurately. Why learn it? This part of the course will teach you how to use your data to produce meaningful insights. At the end of the day, data charts are what conveys the most information in the shortest amount of time. And nothing speaks better than a well crafted and meaningful data visualization. 11. Practical example The course contains plenty of exercises and practical cases. In the end, we have included a comprehensive practical example that will show you how everything you have learned along the way comes nicely together. This is where you will be able to appreciate how far you have come in your journey to becoming a data analyst and starting your data career. What you get A program worth $1,250 Active Q&A support All the knowledge to become a data analyst A community of aspiring data analysts A certificate of completion Access to frequent future updates Real-world training Get ready to become a data analyst from scratch Why wait? Every day is a missed opportunity. Click the "Buy Now" button and become a part of our data analyst program today. [b]Who this course is for:[/b] You should take this course if you want to become a Data Analyst and Data Scientist This course is for you if you want a great career The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Agile Practices Using AI | LinkedIn [Update 06/2024][/b] English | Size: 241 MB Genre: eLearning[/center] In this course, MLOps expert Noah Gift explores the integration of Agile practices with Artificial Intelligence (AI) to streamline software development processes and improve productivity. Learn about the Five Whys technique, pragmatic Agile, and incorporating Trello into your workflows. Explore anti-patterns, as well as effective critical thinking, triple threat, and technical teamwork. Dive into AIOps, prompt engineering, pair programming, and much more. By combining the principles of Agile and the capabilities of AI, you can unlock new levels of efficiency and innovation. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Java Spring Boot E-Commerce Ultimate Course | Udemy [Update 08/2024][/b] English | Size: 37.8 GB Genre: eLearning[/center] Become Job-ready Java Spring Developer: Learn to Build Real-world Shopping Website with Java and Spring framework [b]What you'll learn[/b] Develop a complete shopping website using Java, Spring Boot, Thymeleaf, Bootstrap, jQuery and MySQL database Code the Admin application for managing users, categories, brands, products, customers, orders, sales report... Code the Shopping application allowing customers to browse products and place orders Code shopping cart features and payment via PayPal and credit cards Learn how to use Spring Data JPA with Hibernate for the data access layer Learn how to use Spring Security for authentication and role-based authorization Learn how to use Thymeleaf template engine for creating dynamic view pages Learn how to use Bootstrap and jQuery for creating responsive, mobile-friendly web pages Learn how to use Spring RESTful Webservices in conjunction with jQuery on the client side Learn how to use PayPal Checkout API for payment integration Learn how to use JUnit, Spring Test, AssertJ and Mockito for unit tests and integration tests Learn how to deploy the application on Heroku cloud platform with file upload on Amazon S3 Learn how to use Google Chart for drawing charts in sales report Learn how to use Spring OAuth for single sign on with Facebook and Google Learn how to use Spring Mail for sending emails for customer registration and place order confirmation Upgrade Code to use Spring Boot 3.2.0 Upgrade Code to use Spring Security 6.2.0 NOTES: This course has been updated to Java 21, Spring Boot 3.2.0 and Spring Security 6.2.0. Welcome to "Java Spring Boot E-Commerce Ultimate Course" instructed by me, Nam Ha Minh - a certified Java developer who have been programming with Java technologies for more than 19 years. I'm very glad that you have found the most sophisticated and comprehensive course ever on web development with Java, Spring framework, Spring Boot and related technologies. Let me explain why this course is perfect for those who want to master practical, job-ready programming skills needed to be a professional Java developer and pursuit a career in software development. "Really wonderful course for learn how to develop complete web application with Java Spring Boot and to get good ECommerce domain knowledge. Glad I found this course" - said student Arunkumar. By learning this course, you will gain Full-stack development experience in programming a real-life shopping web application using the latest technologies such as Java, Spring Boot, Hibernate, Thymeleaf, Bootstrap, jQuery, HTML, RESTful Webservices... putting all these pieces together for building professional applications beloved by the end users, and bring revenue to businesses. The modules you will learn to build in the Admin application are: Users, Categories, Brands, Products, Customers, Shipping, Orders, Sales Report, Reviews, Questions, Settings. The modules you will learn to build in the Shopping application are: categories listing, product details, search products, shopping cart, checkout, manage orders, tracking orders, customer registration. You also learn how to deploy the e-commerce webapp on Heroku cloud platform, with user's uploaded files stored on Amazon S3 server. "This is one of the best, if not the best course on Udemy. Nam is a great teacher and won't hesitate to share his enormous knowledge. Highly recommended!" - student Damjan Bozhinoski You will be a master of the following technologies by the end of this course: - Spring framework development with Spring Boot - Spring Data JPA and Hibernate framework - Spring Security for authentication and authorization - Spring OAuth for social login with Facebook and Google - Spring Mail for sending customer registration confirmation and order confirmation - PayPal Checkout API for capturing payment from customer - Google Chart API for drawing charts of sales report - JUnit, AssertJ and Mockito in unit testing - Spring RESTful Webservices - Bootstrap 4, HTML5 and jQuery 3 - Amazon S3 APIs - Deployment on Heroku (AWS) By completing this course, I'm sure that you will gain practical, hands-on programming experience and become a professional Java web developer. Also with job-ready skills earned, I'm sure that you will land on a development job which you deserve - like many students shared with me before. Below are some of them: "I just wanted to let you know that I got the job and one of the reasons is you." - student Rajesh Kumar "I just want to say thank you. Your Spring Boot tutorial is just amazing. I was struggling to find a developer job 4 months ago, so I decided to enroll your course on Udemy. After I finished the course, now I got a job. I want to share the happiness with you. I couldn't do it without you. Thank you so much!" - student Johnny Liang. [b]Who this course is for:[/b] Java developers who want to master Spring framework and Spring Boot beginner Java developers who want to learn using Spring framework for developing real-life applications those who want to learn programming a complete ecommerce web application those who want to become professional Java and Spring developers those who want to pursuit a job in software development [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]C++ Programming for Unreal Game Development Specialization | Coursera [Update 08/2024][/b] English | Size: 29.55 GB Genre: eLearning[/center] Learn C++ and how to use C++ in Unreal games Specialization - 4 course series This Specialization is intended for intermediate programmers who want to learn how to program Unreal Engine games using C++. Learners should complete at least one other programming Specialization on Coursera or one programming course in high school or college before starting this Specialization. The first course assumes that level of programming experience, and throughout the 4 courses in the Specialization you'll learn how to program in C++ and how to use that C++ knowledge to program Unreal Engine games. The C++ and Unreal material in the courses in the Specialization is slightly less comprehensive than the content in the first two game programming courses at UCCS. [b]Applied Learning Project[/b] Each of the courses includes 10-20 exercises designed to teach you small concepts in C++ and Unreal. You'll also develop several larger C++ console applications, all of them designed to teach you important C++ and Unreal Engine concepts. Completing the exercises and the programming assignments will let you apply your C++ programming skills to both C++ console apps and to Unreal games. 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[center][img][Hidden Content]] [center][b]Mastering Adobe After Effects: From Basics to Advanced | Udemy [Update 06/2024][/b] English | Size: 14.9 GB Genre: eLearning[/center] Unlock your creative potential with our Adobe After Effects training course - from basics to advanced techniques! [b]What you'll learn[/b] Navigating the Interface: Mastering the After Effects workspace, panels, and tools. Layer Management: Understanding and manipulating layers for effective project organization. Basic to Advanced Animation: Creating keyframe animations, using transform properties, and refining animation techniques. Compositing Skills: Utilizing keying techniques, blending modes, and color correction to seamlessly merge visual elements. Masking Techniques: Creating and refining masks for isolating elements and enhancing visuals. Tracking and Motion: Applying tracking data to objects, using Mocha AE for advanced tracking, and integrating 3D camera tracking. Rotoscoping: Isolating elements using the Roto Brush tool and refining edges for precise compositing. Motion Graphics: Designing and animating shapes, text, and other graphic elements for dynamic visuals. New Features: Exploring the latest updates in After Effects, including Roto Brush 2.0, 3D Design Space, and integration with Photoshop. Practical Projects: Applying learned techniques to real-world projects, enhancing hands-on experience and creativity. Welcome to the Adobe After Effects Comprehensive Training course! This course is designed to equip you with the knowledge and skills needed to master Adobe After Effects, a powerful tool for video editing, animation, and visual effects. Whether you are a beginner or looking to enhance your existing skills, this course covers everything you need to know to create professional-quality projects. We begin with an overview of the After Effects interface and its various components, providing a solid foundation for navigating the software. You will learn essential techniques such as creating compositions, importing scenes, and applying color correction. As you progress, you will delve into more advanced topics, including keying, masking, and tracking, which are crucial for seamless compositing and integration of visual elements. The course is structured into sections, each focusing on a specific area of After Effects. You will explore the intricacies of layer management, transform properties, and basic animation, gradually building up to more complex tasks such as motion graphics and rotoscoping. Practical projects and hands-on exercises are included to reinforce your learning and provide real-world experience. In addition to mastering the core features, you will also stay updated with the latest tools and techniques introduced in recent versions of After Effects. This ensures that you can leverage the full potential of the software and stay ahead in the ever-evolving field of video production and post-production. By the end of this course, you will be proficient in using Adobe After Effects to create stunning animations, compelling visual effects, and polished video projects. Get ready to unleash your creativity and bring your ideas to life with After Effects! Section 1: Adobe After Effects - Comprehensive Training This section provides a solid foundation in Adobe After Effects, starting with an introduction to the software and its various interfaces. Students will learn to navigate the Layer Editor, apply effects, and manipulate Transform properties for basic animation. The course covers essential tasks such as creating new compositions, importing scenes, and applying color correction. Advanced topics include blend modes, masking techniques, and rendering. By the end of this section, students will be equipped with the skills to create and animate basic compositions, manage layers, and utilize various effects and transformations effectively. Section 2: Adobe After Effects - Compositing In this section, students delve into the art of compositing, focusing on keying techniques to create seamless visual effects. The course explores various keying tools, including Color Key, Linear Color Key, and Keylight, along with their parameters and applications. Students will learn to merge characters with backgrounds, create multilayer keys, and work with light wrap effects to enhance realism. Advanced topics include tracking motion, preserving shadows, and performing detailed color correction. This section prepares students to handle complex compositing tasks, ensuring their footage blends naturally with different backgrounds and elements. Section 3: Keying In After Effects - Project This section is project-based, allowing students to apply their keying knowledge in practical scenarios. Students will use Linear Color Key, Luma Key, and Spill Suppressor to integrate backgrounds seamlessly. The section emphasizes advanced keying techniques and the use of the Advanced Spill Suppressor. By completing these projects, students will gain hands-on experience in keying and compositing, solidifying their understanding and skills in integrating keyed elements with various backgrounds. Section 4: Adobe After Effects - Tracking Projects Tracking is a critical skill in visual effects, and this section focuses on mastering it. Students will learn to track and link data to objects, detail scenes, and create animated elements. The course covers both traditional and Mocha AE tracking methods, including exporting track data and performing rotoscoping. Advanced topics include four-point tracking, tracking in 3D space, and linking text and video to 3D camera trackers. This section equips students with the expertise to handle tracking in various scenarios, ensuring precise integration of tracked elements into their compositions. Section 5: Adobe After Effects - Rotoscoping Rotoscoping is a fundamental technique for isolating elements within footage. This section covers the essentials of rotoscoping, from masking different shapes to using the Roto Brush tool. Students will learn to create and animate masks, refine edges, and work with advanced footage. The course also explores desaturating backgrounds and rendering final compositions. By the end of this section, students will be proficient in using rotoscoping tools and techniques to create precise and detailed masks for their projects. Section 6: Motion Graphics In After Effects Motion graphics are a key component of After Effects, and this section focuses on creating and animating shapes. Students will learn to design motion graphics banners, create lower thirds, and animate subtext with keyframe assistance. The course emphasizes the use of the Trim Path effect and animating shape parameters. By mastering these techniques, students will be able to create dynamic and visually appealing motion graphics for various applications. Section 7: New Features In After Effects This section introduces the latest features in After Effects, including Roto Brush 2.0 and 3D Design Space. Students will work on projects that integrate these new tools, exploring their capabilities and applications. The section also covers advanced topics such as Photoshop integration, composition techniques, and animation improvements. By staying updated with the latest features, students will be able to leverage the full potential of After Effects in their projects. Conclusion The Adobe After Effects Comprehensive Training course provides a thorough understanding of the software, covering essential techniques and advanced topics. From basic animation and compositing to tracking, rotoscoping, and motion graphics, students will gain a wide range of skills applicable to various projects. The course also keeps students updated with the latest features in After Effects, ensuring they can utilize the most recent tools and techniques. By the end of the training, students will be well-equipped to create professional-quality visual effects and animations, enhancing their capabilities in the field of video production and post-production. [b]Who this course is for:[/b] Beginners: Individuals with no prior experience in Adobe After Effects who want to learn the basics and build a strong foundation. Intermediate Users: Those with some familiarity with After Effects who want to enhance their skills and learn advanced techniques. Video Editors: Professionals looking to add visual effects and animation to their video editing toolkit. Graphic Designers: Designers interested in expanding their skill set to include motion graphics and dynamic visual elements. Animators: Aspiring or practicing animators who want to leverage After Effects for creating sophisticated animations. Filmmakers: Filmmakers and directors aiming to incorporate high-quality visual effects into their projects. Content Creators: YouTubers, social media influencers, and digital content creators looking to enhance their videos with professional-grade effects. Students and Educators: Individuals studying or teaching multimedia, film production, or graphic design who want to incorporate After Effects into their curriculum. Marketing and Advertising Professionals: Those in marketing and advertising looking to create compelling video ads and promotional materials. 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[center][img][Hidden Content]] [center][b]Automate Video Editing with Python and MoviePy | Udemy [Update 07/2024][/b] English | Size: 994 MB Genre: eLearning[/center] Master the Python library MoviePy to easily automate mass video editing [b]What you'll learn[/b] Easily automate video editing Develop automated scripts for mass video processing Optimize video processing for maximum performance Gain in-depth skills with MoviePy Avoid common beginner mistakes and adopt best practices Realize personal and professional projects using Python and MoviePy Carry out freelance work with Python and MoviePy Receive a training certificate at the end of the course Master MoviePy to easily automate video editing Unlock the power of Python's MoviePy library to streamline your video editing workflow. This course offers comprehensive training on using MoviePy, a globally recognized tool for automating video editing tasks. Automate Mass Video Processing with Ease Learn to create Python scripts that handle hundreds of videos simultaneously. From resizing and cropping to format conversion, text addition, music integration, and transitions, MoviePy simplifies the process of bulk video editing. Engage in Hands-On Exercises and a Real-World Project Gain practical experience with exercises and a real-life project focused on automating video editing for video game compilations. This hands-on approach ensures you can apply MoviePy in other scenarios. Stay Updated with the Latest Features This course, updated in 2024, covers the newest MoviePy features, ensuring you stay current with the latest advancements. Avoid Common Beginner Mistakes Discover best practices and tips for writing professional-quality code with MoviePy. Learn to avoid common pitfalls and streamline your video editing scripts. Earn a Certificate of Completion Upon finishing the course, you'll receive a certificate verifying your participation and completion, showcasing your expertise in automated video editing. By the end of this course, you'll master MoviePy, enabling you to automate video editing efficiently for both personal and professional projects. Start leveraging the capabilities of MoviePy today! [b]Who this course is for:[/b] People looking to automate their video editing to save time People wanting to automate the editing of a large number of videos [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Flutter & Dart - Build Chrome Dinosaur Game, Dino Runner | Udemy [Update 06/2024][/b] English | Size: 408 MB Genre: eLearning[/center] Flutter & Dart Course - Build Chrome Dinosaur Game Dino Runner. This course teaches you how to make mobile games using Flutter and Dart (version 2.8). In this course, you will implement a fully functional Dinosaur Runner game using secure Flutter codes. Flutter is an open source software framework created by Google. Using Flutter, you can develop cross-platform applications for Android, iOS, Linux, Mac, Windows, Google Fuchsia, and the web using a single code base. Game development is the art of designing, developing and publishing a game. This process may include idea generation, design, manufacturing, testing, and release. Game development can be done by a large game development studio or even by an individual. This process can be as small or large as you like. If you're into game development as a hobby, it can be as easy or as hard as you want it to be. But if you want to go into game development professionally, game programming is a difficult task. Because this field is very competitive. There are so many video games out there now and new ones are constantly being developed. Sometimes, game development is a challenging and painful process; But nothing compares to seeing the joy of someone experiencing your game for the first time. We talked to game developers and divided the game development process into the following five stages: prototyping, development, release, observation, and iteration. With access to thousands of resources online, it's definitely possible to learn game development on your own. In fact, many game developers are self-taught. From online courses to game developer communities, learning this skill can be beneficial both as a hobby and as a career. [b]What you will learn in this course:[/b] Making a fully functional dinosaur runner game with Flutter Making 2D games in Flutter How to create obstacles in Flutter game How to create and add player character in Flutter game Scorecard programming for players Card programming is the best score for players and many other things [b]This course is suitable for people who:[/b] They want to become Flutter game app developers. They want to make fully functional 2D games. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Deployment, Design and Troubleshoot Cisco SDWAN | Udemy [Update 06/2024][/b] English | Size: 495 MB Genre: eLearning[/center] Deployment, Design and Troubleshoot Cisco SDWAN- Journey to SDWAN [b]What you'll learn[/b] Introduction to Cisco SDWAN Why use Cisco SDWAN Acroynm of Cisco SDWAN How to Deploy Cisco SDWAN WAN Edge Devices How To Troubleshoot Cisco SDWAN Issues Cisco SD-WAN (Software-Defined Wide Area Network) is a transformative approach to networking that enhances the management and operation of a WAN by decoupling the networking hardware from its control mechanism. At its core, Cisco SD-WAN offers a centralized control function that intelligently directs traffic across the WAN, ensuring optimal application performance, enhanced security, and reduced costs compared to traditional WAN models. For beginners, it is essential to understand that SD-WAN simplifies the complexity of managing multiple connections, such as MPLS, broadband, and LTE, by providing a unified management interface. This allows for consistent policies, automated provisioning, and dynamic path selection based on real-time network conditions and application requirements. Cisco's SD-WAN solution incorporates robust security features, including end-to-end encryption, secure segmentation, and integrated threat protection, ensuring that data remains secure across all connections. Additionally, it supports a variety of deployment options, whether on-premises, in the cloud, or a hybrid approach, offering flexibility to adapt to diverse business needs. In this course, you will learn the fundamentals of Cisco SD-WAN, including its architecture, key components (such as vManage, vSmart, vEdge, and vBond), and how to configure and manage SD-WAN environments effectively. You will also learn how to deploy cisco sdwan wan edge and how to troubleshoot real life problems of cisco sdwan. DONT FORGET TO SHARE WITH FRIENDS [b]Who this course is for:[/b] Anyone who wants to learn cisco sdwan [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Gamma Master Course: 2024 Gamma AI Presentations & Websites | Udemy [Update 06/2024][/b] English | Size: 848 MB Genre: eLearning[/center] Mastering Gamma in 2024: From Basics to Brilliance leveraging AI for Presentation Creation & Website Creation [b]What you'll learn[/b] Navigating Gamma (Signing Up, Signing In, Pricing Plan Features) Create a Presentation from Gamma using AI Automation (Artificial Intelligence) Start from a template or from an imported presentation Create a presentation from blank (100% creative opportunity) Gamma Master Course: Gamma AI Presentations and Websites Learn how to use Gamma with a top AI Education & Training firm specializing in Artificial Intelligence (AI) usage. Our courses are perfect for beginners and are comprehensive, so nothing is missed. BENEFITS OF WORKING WITH US: Full Interactive Course with tons of resources that will help you learn how to use Gamma in 1 Day We have thousands of clients so understand planning, implementation, and training needs coinciding with differentiating AI use cases inclusive of B2B and B2C presentation curation Save tons of money by using AI tooling all by yourself We created this course for beginners and this ensures that there's no ambiguity with how this tool works, as the training is comprehensive If you need service after the course we can gladly assist you with questions, Gamma usage directions, and consulting THIS COURSE IS PERFECT IF YOU WANT TO LEARN HOW TO: Get started Gamma (Sign Up & Navigation) Review inspiration from Gamma to spark the creativity Start from a blank presentation...where creativity is 100% up to you Use AI to create your presentation from the design to the wording Leverage a template that gives you a close match to what you need with fewer edits required Create a website using Gamma with the help of AI [b]Who this course is for:[/b] Those who want to create a presentation for business or personal and would like to use AI to streamline the process [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Angular - The Complete Guide (2024 Edition) | Udemy [Update 08/2024][/b] English | Size: 32.3 GB Genre: eLearning[/center] Master Angular (formerly "Angular 2") and build awesome, reactive web apps with the successor of Angular.js [b]What you'll learn[/b] Learn modern Angular, including standalone components & signals from the ground up & in great detail! Learn how to send HTTP requests, implement routing, authenticate users or handle complex forms - and much more! Develop modern, complex, responsive and scalable web applications with Angular Fully understand the architecture behind an Angular application and how to use it Learn TypeScript, a modern JavaScript superset, along the way Create single-page or fullstack applications with one of the most modern JavaScript frameworks out there Use the gained, deep understanding of the Angular fundamentals to quickly establish yourself as a frontend developer June 17th 2024: Big update released! The entire course was re-recorded from scratch and was therefore completely updated! It's now 100% up-to-date with the latest version of Angular again, covering crucial modern features like signals, standalone components etc. Many new deep-dive sections on these core topics were added, hence ensuring that you learn ALL about modern Angular in-depth. In addition, the course also still covers older Angular versions & syntax, so that you get the most out of this course, no matter with which Angular version you're working. May 23rd 2024: New "Essentials" Sections! Brand-new "Essentials" sections were added, covering modern Angular (incl. standalone components, signals, new control flow & more) from the ground up. This course therefore once again teaches modern Angular, whilst also teaching "older" Angular features since many projects are still stuck on old Angular versions. With this course, you'll be ready to work with Angular, no matter which version you might be using in your next project! --- Join the most comprehensive and bestselling Angular course on Udemy and learn all about this amazing framework from the ground up, in great depth! This course starts from scratch, you neither need to know Angular 1 nor Angular 2 or any other Angular version! From Setup to Deployment, this course covers it all! You'll learn all about Components, Directives, Services, Forms, Http Access, Authentication, Optimizing an Angular App with Modules and Offline Compilation and much more - and in the end: You'll learn how to deploy an application! But that's not all! This course will also show you how to use the Angular CLI and feature a complete project, which allows you to practice the things learned throughout the course! And if you do get stuck, you benefit from an extremely fast and friendly support - both via direct messaging or discussion. You have my word! ;-) Angular is one of the most modern, performance-efficient and powerful frontend frameworks you can learn as of today. It allows you to build great web apps which offer awesome user experiences! Learn all the fundamentals you need to know to get started developing Angular applications right away. Hear what my students have to say "Absolutely fantastic tutorial series. I cannot thank you enough. The quality is first class and your presentational skills are second to none. Keep up this excellent work. You really rock! - Paul Whitehouse" "The instructor, Max, is very enthusiastic and engaging. He does a great job of explaining what he's doing and why rather than having students just mimic his coding. Max was also very responsive to questions. I would recommend this course and any others that he offers. Thanks, Max!" "As a person new to both JavaScript and Angular 2 I found this course extremely helpful because Max does a great job of explaining all the important concepts behind the code. Max has a great teaching ability to focus on what his audience needs to understand." This Course uses TypeScript TypeScript is the main language used by the official Angular team and the language you'll mostly see in Angular tutorials. It's a superset to JavaScript and makes writing Angular apps really easy. Using it ensures, that you will have the best possible preparation for creating Angular apps. Check out the free videos for more information. TypeScript knowledge is, however, not required - basic JavaScript knowledge is enough. Why Angular? Angular is the next big deal. Being the successor of the overwhelmingly successful Angular.js framework it's bound to shape the future of frontend development in a similar way. The powerful features and capabilities of Angular allow you to create complex, customizable, modern, responsive and user friendly web applications. Angular is faster than Angular 1 and offers a much more flexible and modular development approach. After taking this course you'll be able to fully take advantage of all those features and start developing awesome applications immediately. Due to the drastic differences between Angular 1 and Angular (= Angular 2+) you don't need to know anything about Angular.js to be able to benefit from this course and build your futures projects with Angular. Get a very deep understanding of how to create Angular applications This course will teach you all the fundamentals about modules, directives, components, databinding, routing, HTTP access and much more! We will take a lot of deep dives and each section is backed up with a real project. All examples showcase the features Angular offers and how to apply them correctly. Specifically you will learn: Which architecture Angular uses How to use TypeScript to write Angular applications All about directives and components, including the creation of custom directives/ components How databinding works All about routing and handling navigation What pipes are and how to use them How to send HTTP requests (e.g. to REST APIs) What dependency injection is and how to use it How to use modules in Angular How to optimize your (bigger) Angular applications An introduction to NgRx and complex state management We will build a major project in this course so that you can practice all concepts And so much more! Pay once, benefit a lifetime! Don't lose any time, gain an edge and start developing now! [b]Who this course is for:[/b] Newcomer as well as experienced frontend developers interested in learning a modern JavaScript framework This course is for everyone interested in learning a state-of-the-art frontend JavaScript framework Taking this course will enable you to be amongst the first to gain a very solid understanding of Angular [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Control of Manufacturing Processes with Odoo 17 AI-Powered | Udemy [Update 07/2024][/b] English | Size: 2.5 GB Genre: eLearning[/center] Manufacturing, Product Management & Quality Assurance, Excellence in Manufacturing Practices [b]What you'll learn[/b] Types of Manufacturing Processes Managing Manufacturing Orders with Odoo Bill of materials (BOM): your top supply chain ally Manage work orders using work centers Work center formulas parameters Control key purpose in Work Center Steps for Creating Compelling Manufacturing Case Studies Byproducts from Processing Master Scheduling & Production Planning Case Study PLM - Product Lifecycle Management: Manufacturing Explained Inventory Replenishment Methods & Strategies Inventory Costing: How to Choose the Right Method Multiple Work Center Assignment in Single Routing Completing a manufacturing order (MO) _ Odoo Shop Floo Lead Time Guide for Manufacturers Subcontracting Process in Production Planning Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events, especially random events. you will learn how to analyze manufacturing systems to optimize performance and control cost. You will develop an understanding of seemingly opaque production lines with a particular emphasis on random disruptive events - their effects and how to deal with them, as well as inventory dynamics and management. Manufacturing systems are complex and require decision-making skills and analytical analysis. Managers and practitioners use a wide variety of methods to optimize the performance of manufacturing systems and control costs. The many processes and functions involved in building and maintaining these systems demand a high-level of knowledge. The topics covered will provide the basis for learners to continue into the manufacturing field in such roles as an operations manager or supply chain manager. Manufacturing plays a key role in economic growth and innovation, making it worthwhile to build skills for this line of work. Discover the sustainable practices and technological advancements transforming this dynamic field with the online courses Control of Manufacturing Processes with Odoo 17 AI-Powered . Manufacturing refers to the process of transforming raw materials into finished products through methods like assembly, fabrication, or machining. Beyond these techniques, it entails various activities, such as design, production planning, quality control, and distribution. The scope of manufacturing extends to multiple sectors, including automotive, electronics, pharmaceuticals, aerospace, and consumer goods. Manufacturing course curriculum A manufacturing course online covers a wide range of topics related to the principles, processes, and practices involved in manufacturing. Some common areas of focus may include: Introduction to manufacturing: Examining manufacturing processes, technologies, and their significance in various industries. Manufacturing systems: Studying different types of manufacturing systems, including job shop, batch production, assembly line, and continuous production, along with their advantages and limitations. Production planning and control: Understanding the principles of production planning, scheduling, inventory management, and resource allocation to optimize production efficiency. Quality control and assurance: Exploring techniques and methods for quality control, inspection, statistical process control, and quality assurance in manufacturing processes. Lean manufacturing: Highlighting lean principles, such as waste reduction, continuous improvement, value stream mapping, and just-in-time production, for achieving operational excellence . Manufacturing automation: Looking at automation technologies, including robotics, computer numerical control (CNC), programmable logic controllers (PLC), and their roles in improving manufacturing efficiency and productivity. Materials and manufacturing processes: Learning about the different materials used in manufacturing, such as metals, polymers, and composites, and an understanding of manufacturing processes like machining, casting, forming, and joining. Supply chain management: Mastering supply chain concepts, logistics, procurement, supplier management, and coordination to ensure efficient material flow and on-time delivery in manufacturing operations. Sustainable manufacturing: Emphasizing sustainable manufacturing practices, eco-design principles, energy-efficient manufacturing, waste reduction, and environmental impact mitigation in the manufacturing industry. Emerging technologies in manufacturing: Focusing on emerging trends and technologies like additive manufacturing (3D printing), the Internet of Things (IoT), digital manufacturing, and advanced analytics shaping the future of the manufacturing sector. There are many manufacturing jobs available across various sectors. Here are some examples of roles related to manufacturing: Production supervisor: Overseeing day-to-day operations on the production floor, managing personnel, coordinating schedules, and ensuring production targets are met efficiently and safely. Manufacturing engineer: Developing and improving manufacturing processes, optimizing production efficiency, conducting process validations, and collaborating with cross-functional teams to drive continuous improvement. Quality control inspector: Inspecting and testing products to ensure they meet quality standards, identifying defects or deviations, and implementing corrective actions to maintain product quality and compliance. Supply chain manager: Managing the flow of materials, coordinating with suppliers, overseeing inventory management, and optimizing logistics to ensure timely production and delivery of goods. CNC machinist: Operating computer numerical control (CNC) machines, programming machine instructions, setting up tools, and producing precision components based on technical specifications.Footnote14 Industrial designer: Creating product designs, conceptualizing prototypes, collaborating with engineering and production teams, and considering aesthetics, functionality, and manufacturability. Lean manufacturing specialist: Implementing lean principles and methodologies to optimize processes, eliminate waste, and improve overall efficiency in manufacturing operations. Maintenance technician: Performing routine maintenance, troubleshooting equipment issues, conducting repairs, and ensuring smooth operation of machinery and production systems. Automation engineer: Designing, programming, and maintaining automated manufacturing systems, including robotic systems, to streamline production processes and increase efficiency. Materials planner: Managing the procurement and inventory of materials, coordinating with suppliers, forecasting demand, and ensuring availability of materials for production What you will learn A new perspective for design and operational decision making at all levels of manufacturing, in the context of volume manufacturing, where rate, quality, cost and flexibility are the key metrics How to operate and control unit processes to ensure maximum quality using basic and advanced statistical and feedback control methods How to design and operate systems of processes with optimal capacity, resilience and inventory How to design and operate optimal supply chain systems The financial underpinnings of a manufacturing enterprise, including new ventures [b]Who this course is for:[/b] Production supervisor, Manufacturing engineer Quality control inspector, Supply chain manager CNC machinist,Industrial designer,Maintenance technician Automation engineer,Materials planner [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]Pixel Art Fundamentals: Introduction to 2D Game Pixel Art | Udemy [Update 04/2023][/b] English | Size: 673 MB Genre: eLearning[/center] Make 2D Art for Video Games Using Libresprite / Aseprite. Create icons, images, HUD, simple animations and game scenes. [b]What you'll learn[/b] Create unique, high quality, game-ready pixel art assets quickly! Master the pixel art fundamentals of shading, color, lines, dithering, shadows and more. Create a game scene with game assets that can easily be exported for use in a game engine. Learn how to quickly and easily create animations using multiple frames and the onion skin tool. Easily create user interface and HUD assets that can be used immediately in video games. Learn how to use outlines to create different types of assets - UI elements, in-game pickups, in-game objects. Quickly become competent using the very popular LibreSprite / Asesprite software. Be part of an amazing and supportive community of people similar to you. Learn the fundamentals of pixel art for video games quickly, without needing to take a huge course. Using the highly popular LibreSprite / Aseprite, you'll create dozens of unique pixel art assets throughout this course, including in-game objects, user interface, icons, items and more. By the end of the course you'll have created your own game scene complete with game world objects, simple characters, basic animations and HUD overlay. The course will carefully teach you the fundamentals of being a pixel artist such as creating shading, highlights, shadows, lines, dithering and more of the day-to-day techniques used by Pixel artists. Your instructor, Reece, will provide you with many tips and tricks to improve quickly and be efficient with your asset creation process. What you'll learn in this course: Create a complete game scene including world objects (furniture, etc), simple characters, HUD overlay, icons and more. Learn the fundamentals skills and techniques such as shading, shadows, highlights, lines, dithering, perspective and colour theory. Practice in a safe and friendly way to start to develop your own pixel art style. Learn how to export your creations so that you can sell them or use them in your own games. Complete dozens of challenges to come up with your own interesting creations. This course is perfect for beginners who are new to pixel art, anyone wanting to improve their 2D game art skills and folks who value their time and want quick wins! The course uses LibreSprite which is nearly identical to Aseprite. LibreSprite is coming soon to Mac but currently only available on PC. You can still absolutely follow the course if you're using a Mac and we give you some good alternatives to do so (for example using the free or paid versions of Aseprite). All students have access to the Q&A where our Instructors, Teaching Assistants and Community are ready to help answer your questions and cheer on your success. [b]Who this course is for:[/b] Anyone interested in pixel art or becoming a video game artist. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]React JS: Build 6 Real-World React Apps with AI Integration | Udemy [Update 06/2024][/b] English | Size: 3.9 GB Genre: eLearning[/center] React Masterclass. Build 6 Real-World React Projects. Integrate ChatGPT into your App using ChatGPT API. [b]What you'll learn[/b] Build six functional, real-world React applications from scratch. Understand core React concepts, including components, state, and props. Integrate APIs and handle asynchronous operations in React. Design responsive UIs that work seamlessly across devices. Manage application data using local storage for a seamless user experience. Welcome to "Build 6 Real-World React Applications & Integrate ChatGPT"! This comprehensive course is designed to take you from a React novice to a confident developer by building practical, real-world projects with a focus on integrating ChatGPT. In this course, you'll start with a crash course on React fundamentals, ensuring you have a solid foundation. We'll cover essential concepts such as components, state, props, and lifecycle methods, preparing you for the hands-on projects ahead. Once you're comfortable with the basics, we'll dive into building six diverse and functional applications: **AI Chat Bot**: Learn how to create an interactive chat bot using React and ChatGPT API, simulating human-like conversations with AI. **Translator App**: Develop a multi-language translator with dynamic language support using React. **Live Weather App**: Build a weather application with React that fetches real-time data from an API and displays it in a user-friendly interface. **Quote Generator**: Create a quote generator with React that provides inspirational quotes at the click of a button. **Calendar**: Design a functional calendar application with React to manage events and schedules. **News App**: Develop a news application with React that retrieves and displays the latest news articles from various sources. Throughout the course, you'll gain hands-on experience with: - Core React concepts and best practices - Integrating and handling APIs with React and ChatGPT - Managing state and props effectively in React - Designing responsive UIs with React that work seamlessly across devices - Utilizing local storage in React for data persistence This course is perfect for aspiring front-end developers, intermediate React developers, web development enthusiasts, students, professionals, and self-taught programmers. Whether you're looking to break into front-end development or enhance your existing skills, this course provides the practical knowledge and experience you need. By the end of this course, you'll have six impressive projects to add to your portfolio and the confidence to tackle more complex React applications. You will also understand how to integrate ChatGPT API into your React applications for intelligent features. Join us on this exciting journey to master React and build functional, responsive applications with the power of ChatGPT. Enroll now and start building your future in web development! [b]Who this course is for:[/b] Aspiring Front-End Developers: This course is perfect for those looking to break into front-end development by building practical, real-world applications using React. Intermediate React Developers: If you have some experience with React and want to enhance your skills by working on diverse projects, this course will be valuable. Web Development Enthusiasts: Anyone with a passion for web development who wants to learn how to create modern, functional web applications will benefit from this course. Students and Professionals: Whether you're a student preparing for a career in tech or a professional looking to upskill, this course will provide you with hands-on experience in React. Self-Taught Programmers: If you've been teaching yourself programming and want structured guidance on building complete React applications, this course is designed for you. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]

[center][img][Hidden Content]] [center][b]ChatGPT Prompt Engineering Essentials [Update 06/2024][/b] English | Size: 1.3 GB Genre: eLearning[/center] With the staggering increase in interest in ChatGPT and Generative AI topics, developers need help learning how to make the tech their own. Shaun Wassell can help. [b]Overview:[/b] In an era where AI-driven communication is shaping industries, mastering prompt engineering not only empowers you to harness the full potential of tools like ChatGPT but also positions you at the forefront of innovative AI applications, ensuring you're equipped with the skills to lead and innovate in your respective domain. While the possibilities of generative AI tools such as ChatGPT are endless, the number of situations you need to master to use them effectively is surprisingly small. In this course, we'll cover each of these situations in detail, and along the way, we'll build a collection of effective templates that you can use to maximize your productivity when using these tools. [b]Skill Level:[/b] Beginner-Intermediate [b]Learn How To:[/b] Reduce heavy reliance on trial-and-error: Without knowledge in prompt engineering, users might rely heavily on trial-and-error to get the response they want. A course can provide structured techniques to reduce this randomness. Gain competitive advantage: As many businesses and developers use similar tools, the edge comes from how you use them. Effective prompt engineering can be a differentiator. Customize applications: Developers and businesses looking to integrate ChatGPT into custom applications will benefit from understanding how to engineer their prompts for desired outputs. [b]Who Should Take This Course:[/b] Software developer Data analyst/scientist Machine Learning engineer Web developer DevOps engineer Content creator [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM TURBOBIT[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]DOWNLOAD FROM NITROFLARE[/b] [code] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/code] [b]If any links die or problem unrar, send request to[/b] [code][Hidden Content]]