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Last updated 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 74h 12m | Size: 77.5 GB 10 Hours of React just added. Become a Developer With ONE course - HTML, CSS, JavaScript, React, Node, MongoDB and More! What you'll learn The ins and outs of HTML5, CSS3, and Modern JavaScript for 2021 Make REAL web applications using cutting-edge technologies Create responsive, accessible, and beautiful layouts Recognize and prevent common security exploits like SQL-Injection & XSS Continue to learn and grow as a developer, long after the course ends Create a blog application from scratch using Node, Express, and MongoDB. Create a complicated yelp-like application from scratch Deploy your applications and work with cloud databases Create static HTML and CSS portfolio sites and landing pages Think like a developer. Become an expert at Googling code questions! Create complex HTML forms with validations Implement full authentication from scratch! Use CSS Frameworks including Bootstrap 5, Semantic UI, and Bulma Implement responsive navbars on websites Use JavaScript variables, conditionals, loops, functions, arrays, and objects Write Javascript functions, and understand scope and higher order functions Master the "weird" parts of JavaScript Create full-stack web applications from scratch Manipulate the DOM with vanilla JS Write JavaScript based browser games Use Postman to monitor and test APIs Use NodeJS to write server-side JavaScript Write complex web apps with multiple models and data associations Write a REAL application using everything in the course Use Express and MongoDB to create full-stack JS applications Use common JS data structures like Arrays and Objects Master the command line interface Use NPM to install all sorts of useful packages Understand the ins and outs of HTTP requests Create your own Node modules Make a beautiful, responsive photographer's portfolio page Create a beautiful, responsive landing page for a startup Implement user authentication Create a beautiful animated todo list application Create single page applications with AJAX Requirements Have a computer with Internet Be ready to learn an insane amount of awesome stuff Prepare to build real web apps! Brace yourself for stupid jokes about my dog Rusty Description Now with over 10 hours of React content.  Just updated on May 15th, 2023.Massive new React "expansion pack" covers: React basics, JSX, props, state, Vite, MaterialUI, hooks, useEffect, React design patterns, and more.Hi! Welcome to the brand new version of The Web Developer Bootcamp, Udemy's most popular web development course.  This course was just completely overhauled to prepare students for the 2023 job market, with over 60 hours of brand new content. This is the only course you need to learn web development. There are a lot of options for online developer training, but this course is without a doubt the most comprehensive and effective on the market.  Here's why:This is the only Udemy course taught by a professional bootcamp instructor with a track record of success.92% of my in-person bootcamp students go on to get full-time developer jobs. Most of them are complete beginners when I start working with them.The previous 2 bootcamp programs that I taught cost $14,000 and $21,000.  This course is just as comprehensive but with brand new content for a fraction of the price.Everything I cover is up-to-date and relevant to 2022's developer job market. This course does not cut any corners. I just spent 8 months redoing this behemoth of a course! We build 13+ projects, including a gigantic production application called YelpCamp. No other course walks you through the creation of such a substantial application.The course is constantly updated with new content, projects, and modules.  Think of it as a subscription to a never-ending supply of developer training.You get to meet my cats and chickens! When you're learning to program you often have to sacrifice learning the exciting and current technologies in favor of the "beginner friendly" classes.  With this course, you get the best of both worlds.  This is a course designed for the complete beginner, yet it covers some of the most exciting and relevant topics in the industry.Throughout the brand new version of the course we cover tons of tools and technologies including:HTML5CSS3FlexboxResponsive DesignJavaScript (all 2022 modern syntax, ES6, ES2018, etc.)Asynchronous JavaScript - Promises, async/await, etc.AJAX and single page appsBootstrap 4 and 5 ReactJSSemanticUIBulma CSS FrameworkDOM ManipulationUnix(Command Line) CommandsNodeJSNPMExpressJSTemplatingRESTSQL vs. NoSQL databasesMongoDBDatabase AssociationsSchema DesignMongooseAuthentication From ScratchCookies & SessionsAuthorizationCommon Security Issues - SQL Injection, XSS, etc.Developer Best PracticesDeploying AppsCloud DatabasesImage Upload and StorageMaps and GeocodingThis course is also unique in the way that it is structured and presented. Many online courses are just a long series of "watch as I code" videos.  This course is different. I've incorporated everything I learned in my years of teaching to make this course not only more effective but more engaging. The course includes:LecturesCode-AlongsProjectsExercisesResearch AssignmentsSlidesDownloadsReadingsToo many pictures of my dog RustyIf you have any questions, please don't hesitate to contact me.  I got into this industry because I love working with people and helping students learn.  Sign up today and see how fun, exciting, and rewarding web development can be! Who this course is for This course is for anyone who wants to learn about web development, regardless of previous experience It's perfect for complete beginners with zero experience It's also great for anyone who does have some experience in a few of the technologies(like HTML and CSS) but not all If you want to take ONE COURSE to learn everything you need to know about web development, take this course Homepage Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 15m | Size: 124 MB Video description Mastering NLP Part 3" elevates your NLP expertise to new heights, focusing on foundational principles and advanced techniques. Segment 1 unravels the practical realm of topic modeling using Scikit, offering a hands-on demonstration with practical examples and insights into this sophisticated technique. Learn how to implement topic modeling effectively with just 100 lines of code. Segment 2 delves into the intricate world of inverted indices, covering this concept's foundations, implementation, and diverse applications. It explains the significance of inverted indices in information retrieval and provides insights into practical implementations, equipping you with a comprehensive understanding crucial for effective information retrieval systems. In the end, this video equips you with practical skills to implement advanced NLP techniques and understand the intricacies of concepts such as inverted indices. What you will learn Understand topic modeling using Scikit What is the significance of inverted indices in information retrieval How to apply concepts such as inverted indices in NLP How to develop and implement advanced NLP techniques effectively Who this video is for Data scientists, AI practitioners, IT and technology professionals, academics and researchers, and consultants. Screenshots

Released 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 13m | Size: 313 MB In this course, learn how to use Azure Functions to develop applications. Instructor Rodrigo Díaz Concha covers the benefits of Azure Functions, hosting plans, and app service plans. Learn how to create and deploy function apps and how to develop, test, debug, and run event-driven code on your local computer, as well as in Visual Studio using .NET. Learn about triggers, bindings, and how to implement both in Azure Functions. Next, Rodrigo explains Blob storage and Cosmos DB. See how to use dependency injection for cleaner code. After that, Rodrigo explains how to deploy Azure Functions from the command-line interface (CLI) and from Visual Studio. Explore how to build and use Azure Durable Functions in your projects, then learn how to manage and secure Azure Functions with Key Vault. Homepage [Hidden Content]]

Last updated 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 50m | Size: 188 MB When it comes to managing Linux servers securely, permissions and access control are crucial. In this course, follow computer science instructor and Linux enthusiast Grant McWilliams as he explains how to manage files and directories, create links, and set permissions in CentOS 7. Grant goes into Linux file types, shows how to manipulate files, and explains how to maintain access control to files through the standard Unix permission system and Access Control Lists. He covers how to grant or revoke access to files and directories for users and groups, as well as how to set up special file bits for privilege escalation and special directory bits for owner group inheritance. Homepage [Hidden Content]]

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 27m | Size: 89 MB Video description Understand Natural Language Processing (NLP) with "Mastering NLP Part 2," a comprehensive video series about text processing techniques. Segment one delves deep into the concepts of stemming and lemmatization in NLP, unraveling their impact on language analysis. Grasp the significance of these techniques and their practical applications in real-world scenarios. In Segment two, the focus shifts to Python's robust string manipulation capabilities. It covers formatting, splitting, stripping, finding, encoding, and more. It concludes with segment 3 explaining the art of pattern matching, file handling, and additional text manipulation functionalities. This video delivers a comprehensive understanding of text processing techniques, empowering viewers with the skills needed for NLP in diverse applications. What you will learn; Understand text processing techniques, with a focus on the nuanced concepts of stemmingand lemmatization. What is formatting, splitting, stripping, finding, encoding What are regular expressions, pattern matching, file handling, and additional text manipulation functionalities. What are the tools for efficient text processing. Who this video is for Data scientists, AI practitioners, IT and technology professionals, academics and researchers, and consultants. Screenshots

Released 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 14m | Size: 168 MB Microsoft Entra ID-a cloud-based enterprise identity service-allows you to manage users, apps, devices, and integrate with third party apps, services, and clouds. In this course, Sahil Malik-a trainer, Microsoft and iOS consultant, and the founder of Winsmarts.com-presents an overview of Microsoft Entra ID that is specific to what Python developers need to know. Learn how to leverage Entra ID to author a web application that uses MSAL Python and signs in using Entra ID; create a desktop application that uses MSAL Python; create a daemon application using MSAL Python that works as a headless app with Entra ID; and more. Homepage [Hidden Content]] Buy Premium From My Links To Get Resumable Support and Max Speed [Hidden Content] [Hidden Content]

Published 8/2024 Created by Benny Bing MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 5 Lectures ( 59m ) | Size: 406 MB A Clear and Concise Introduction What you'll learn: Discuss P25 goals and system model Understand P25 components, features, functions, and services Review P25 interfaces, infrastructure and configurations Learn P25 channels and network control elements Review P25 conventional and trunking systems Discuss P25 simulcast, multicast, and voting Review P25 consoles and subscriber units Study the evolution of land and digital mobile radio technologies Requirements: No prerequisites Description: Radio users around the world depend on P25 for their mission-critical communications. The P25 standard has been adopted by many industries such as utilities, airports, transit, petroleum, and chemical companies that rely on mission-critical communications and interoperability with public safety agencies in an emergency. This course discusses the P25 goals and system model and its components, features, functions, services, interfaces, infrastructure and configurations. It will also review the P25 channels and network control elements, the conventional and trunking systems, the coverage configurations such as simulcast, multicast, and voting as well as the consoles and subscriber units. The course will cover the evolution of land and digital mobile radio technologies in the final section.The instructor has published numerous scientific papers and 20 books, and has 6 U.S. patents licensed to industry. Cisco Systems adopted 18,000 printed copies of his first book to launch its first wireless product--the Aironet Wi-Fi product. His books were also reviewed extensively by the IEEE Communications Magazine (twice), the IEEE Network, and the ACM Networker. He was a technical editor for the IEEE Wireless Communications Magazine for 10 years and has also guest edited for the IEEE Communications Magazine (2 issues) and the IEEE Journal on Selected Areas on Communications. His IEEE online tutorials were sponsored 8 times by industry. His research has appeared in the IEEE Spectrum and he received 2 IEEE best paper awards. He was invited by Qualcomm, Comcast, and Motorola to conduct wireless and video coding courses, and the National Science Foundation to participate in a workshop on Residential Broadband. He received the National Association of Broadcasters Technology Innovation Award for demonstrations of advanced new media technologies and the European Interactive TV grand challenge first prize. He has served as an IEEE Communications Society Distinguished Lecturer (with 10 invited lectures worldwide) as well as an expert witness. Who this course is for: Beginner introduction to P25 digital mobile radio Homepage Screenshots

Released 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 3h 19m | Size: 458 MB UiPath is a leading Robotic Process Automation (RPA) platform with a user-friendly interface. UiPath enables businesses to automate and streamline repetitive tasks and processes, freeing up valuable human resources to focus on more strategic and creative tasks. It has made waves in finance, healthcare, manufacturing, and beyond. In this course, Sarah Ghanem-a robotic process automation (RPA) lead, scrum master, and product manager-guides you through the incredible capabilities of UiPath. Learn how to build your first robot (in UiPath, an execution agent that runs processes) and use robots to automate a variety of processes. Explore how Object Automation can help you create modular and maintainable UI automation and how Workflow Analyzer, Document Understanding, and Orchestrator can help you automate workflows effectively. Plus, complete a purchase order challenge to test your understanding of what you've learned from the course. Homepage [Hidden Content]]

Released 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 17m | Size: 170 MB Join instructor Nikiya Simpson as she guides you through the fundamentals and advanced concepts of data management in Google Cloud. Get an introduction to cloud data storage principles including object storage and relational and nonrelational databases. Learn about Google Cloud's diverse data storage offerings such as Cloud Storage, Cloud SQL, Spanner, Bigtable, Firestore, Memorystore, and more. Along the way, Nikiya shows you how to organize datasets, manage BigQuery tables, and run efficient SQL queries, before turning to more advanced topics like optimizing data warehouses, query performance, data loading techniques, and leveraging BigQuery ML for predictive analytics. Whether you're a data analyst, a data scientist, a developer, or simply enthusiastic about cloud data management, this course is designed to equip you with the knowledge required to leverage the full power of Google Cloud. Homepage [Hidden Content]]

Released 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 58m | Size: 118 MB Get an introduction to embedded systems in this course with developer Senyo Simpson. Senyo covers the basics-the what and why of embedded systems, the typical components on an embedded system, and how to develop applications for an embedded system. This course focuses on using Rust-an increasingly popular language-to develop applications and shows you how to set up a development environment that works with Rust. Learn how to build small applications using the language as Senyo guides you through writing your first program in Rust. Plus, gain an understanding of the hardware running embedded systems, as well as how to debug the applications you've created. Homepage [Hidden Content]]

Released 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 58m | Size: 139 MB Your code needs to run in production, which has its own set of challenges and restrictions. In this course, instructor Miki Tebeka shows you how to convert your research notebook to production ready code. Learn about the needs of production, where notebooks can really help you, and where they might fall short. Explore why you should organize your code and how to write clean API for your modules, as well as how to structure your code with sub modules. Find out why testing your code is important and go over useful techniques and best practices. Plus, dive into dependency management, logging and metrics, performance tuning, securing your code, and more. Homepage [Hidden Content]]

Released 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + vtt | Duration: 18m | Size: 99 MB Learn how to effectively sort and filter data in Microsoft Excel. This course will teach you the essential skills for organizing and analyzing your data. Efficiently managing and analyzing data is crucial for making informed decisions. In this course, Sort and Filter Data in Microsoft Excel, you'll learn how to organize your data by sorting it in various ways and applying filters to display specific data sets. You'll cover essential techniques for customizing sorts and using advanced filters to handle complex data. When you're finished with this course, you'll have a better understanding of how to streamline your data analysis process, making it easier to draw insights and make data-driven decisions. Homepage [Hidden Content] Screenshots

Published 8/2024 Created by Ayyaz Zafar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 29 Lectures ( 14h 31m ) | Size: 7.5 GB Master blog development: Learn Angular 18, Node.js, MySQL & Tailwind CSS to build a dynamic, responsive CMS. What you'll learn: Build a complete, production-ready blog and CMS application from scratch using Angular 18 and Node js Develop responsive and dynamic user interfaces with Angular 18 and Tailwind CSS Create and consume RESTful APIs using Node js and Express js Implement user authentication and authorization using JSON Web Tokens (JWT) Design and implement database schemas using MySQL and Sequelize ORM (sequelize-typescript) Create CRUD operations for blog posts, categories, tags, and user comments Create and manage forms with validation using Angular's Reactive Forms Develop a comprehensive admin panel for content management Implement state management and routing in Angular applications Use Angular Material for creating polished UI components Containerize applications using Docker for consistent deployment Deploy full-stack applications to Google Cloud Run Use Angular services for efficient data management and API communication Set up continuous integration and deployment (CI/CD) pipelines Manage and scale cloud databases on Google Cloud for production environments Use Git for version control and collaborative development Apply TypeScript for enhanced type safety in both frontend and backend Use Angular interceptors for global HTTP request/response handling Create and use environment variables for secure configuration management Use Angular route guards to protect admin routes and sensitive content Implement forgot password and reset password functionalities Requirements: No prior experience with Angular or Node js required - we'll start from the basics! Basic knowledge of JavaScript fundamentals (variables, functions, loops, etc.) Familiarity with HTML and CSS Understanding of basic web development concepts (HTTP, APIs, databases) Latest version of Node js and npm installed (instructions provided in the course) Visual Studio Code or any preferred code editor Git installed for version control (instructions provided in the course) Basic command-line knowledge (navigating directories, running commands) A GitHub account (free) Willingness to learn and practice regularly Basic understanding of relational databases is helpful but not required Familiarity with TypeScript is a plus, but we'll cover the essentials A Google Cloud Platform account (free tier is sufficient for this course) Description: Are you ready to become a full-stack developer? This course takes you on an exciting journey from concept to deployment, building a professional blog and Content Management System (CMS) using cutting-edge technologies.What makes this course unique?Learn both frontend (Angular 18) and backend (Node.js) developmentBuild a real-world application from scratch to deploymentGain hands-on experience with cloud deployment using Google Cloud RunFocus on practical, project-based learning with a fully functional blog and CMSBy the end of this course, you'll be able to:Create robust, scalable web applications using Angular 18 and Node.jsImplement essential features like user authentication, comment systems, and admin panelsDesign and develop responsive user interfaces with Tailwind CSS and Angular MaterialBuild efficient backend services with Express.js and Sequelize ORM (sequelize-typescript)Deploy your application to the cloud using Docker and Google Cloud RunUnderstand and apply full-stack development best practicesWhat's inside this course:Setting up the development environmentFrontend development with Angular 18Backend development with Node.js and Express.jsDatabase management with MySQL and Sequelize ORM (sequelize-typescript)User authentication and authorizationRESTful API design and implementationState management in AngularResponsive design with Tailwind CSS and Angular MaterialCloud deployment with Docker and Google Cloud RunProject-Based Learning: Throughout the course, you'll build a fully functional blog and CMS, including:Public-facing blog with article listings and detail pagesUser authentication system with JWTComment system with moderation capabilitiesAdmin panel for managing posts, categories, tags, and usersRESTful API powering both frontend and admin functionalitiesWhat sets this course apart:Comprehensive coverage of both frontend and backend technologiesFocus on a real-world project that you can add to your portfolioIn-depth exploration of deployment and cloud hostingEmphasis on best practices and production-ready codeResponsive support and Q&A from the instructorComprehensive Course Content:Setting Up the Development EnvironmentInstalling Node.js, Angular CLI, and necessary toolsConfiguring MySQL and development databasesBackend Development with Node.js (Express.js)Creating a RESTful API structureImplementing CRUD operations for blog posts, categories, and tagsUser authentication and authorization with JWTDatabase modeling and management with Sequelize ORMFrontend Development with Angular 18Component-based architecture and best practicesReactive Forms for user input and validationState management techniquesImplementing lazy loading for optimal performanceCreating reusable UI componentsAdvanced Angular FeaturesCustom directives and pipesRoute guards for protecting admin routesInterceptors for handling HTTP requests and errorsAngular Material integration for polished UI components in Admin PanelResponsive Design and StylingUtilizing Tailwind CSS for rapid UI developmentCreating a responsive layout for various screen sizesCustomizing and extending Angular Material themesFull-Stack IntegrationConnecting Angular frontend with Node.js backendHandling cross-origin resource sharing (CORS)User Authentication and AuthorizationImplementing JWT-based authenticationCreating login, signup, and password reset functionalitiesAdmin Panel DevelopmentBuilding a comprehensive admin dashboardImplementing CRUD operations for blog posts, categories, and tagsComment management interfacesPerformance OptimizationLazy loading of modules and componentsDeployment and DevOpsContainerizing the application with DockerSetting up CI/CD pipelinesDeploying to Google Cloud RunConfiguring and managing cloud databasesBest Practices and Advanced TopicsError handling and loggingScalability considerations for growing applicationsDon't miss this opportunity to transform your web development skills and build impressive, production-ready applications. Whether you're looking to advance your career or bring your web application ideas to life, this course provides the perfect blend of theory and hands-on practice.Enroll now and take the first step towards becoming a full-stack master! Start building powerful, scalable web applications that stand out in today's competitive digital landscape. Who this course is for: Aspiring full-stack developers looking to build their first complete web application Front-end developers wanting to expand their skills to include back-end development Back-end developers interested in learning modern front-end frameworks like Angular Web developers seeking to upgrade their skills with the latest versions of Angular and Node js Students pursuing degrees in computer science or web development Self-taught programmers looking to fill gaps in their full-stack knowledge Professionals in other fields (e.g., designers, marketers) wanting to transition into web development Entrepreneurs and small business owners who want to build their own web applications Freelance developers aiming to offer full-stack development services Junior developers preparing for full-stack roles in tech companies Angular developers looking to complement their skills with back-end technologies Node js developers interested in learning a modern front-end framework Web developers curious about cloud deployment and DevOps practices IT professionals wanting to understand modern web application architecture Hobbyist programmers eager to create and deploy their own blog or CMS Tech leads or managers who want to understand the full scope of web application development Anyone passionate about web development and eager to build real-world, deployable projects Homepage Screenshots

Published 8/2024 Duration: 16h52m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 9.09 GB Genre: eLearning | Language: English Complete AI Engineer Training: Python, NLP, Transformers, LLMs, LangChain, Hugging Face, APIs What you'll learn The course provides the entire toolbox you need to become an AI Engineer Understand key Artificial Intelligence concepts and build a solid foundation Start coding in Python and learn how to use it for NLP and AI Impress interviewers by showing an understanding of the AI field Apply your skills to real-life business cases Harness the power of Large Language Models Leverage LangChain for seamless development of AI-driven applications by chaining interoperable components Become familiar with Hugging Face and the AI tools it offers Use APIs and connect to powerful foundation models Requirements No prior experience is required. We will start from the very basics You'll need to install Anaconda. We will show you how to do that step by step Description The Problem AI Engineer is best suited to thrive in the age of AI. It helps businesses take advantage of Generative AI by building AI-driven applications on top of their existing websites, apps, and databases. Therefore, it comes as no surprise that the demand for AI Engineers has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as an AI Engineer. And how can you do that? Universities have been slow at creating specialized programs that teach practical AI Engineering skills. (not to mention that the few attempts that exist are very expensive and time consuming) Most online courses teach ChatGPT hacks and standalone technical skills, but it is difficult to understand how these skills fit in the complete picture. The Solution AI Engineering is a multidisciplinary field. It encompasses a wide range of topics. Understanding of the AI field and how AI works in practice Python programming Natural Language Processing in Python Large Language Models and Transformers Building applications with orchestration tools such as LangChain Vector databases with PineCone Building AI-driven apps in practice Each of these topics builds on the previous ones. And you risk getting lost along the way if you don't acquire these skills in the right order. For example, one would struggle in the practical application of Large Language Models before understanding how to work with Langchain. Or, it can be overwhelming to study Natural Language Processing before learning how to code in Python. So, in an effort to create the most effective, time-efficient, and structured AI engineering training available online, we created The AI Engineer Bootcamp 2024. We believe this is the first training program that solves the biggest challenge to entering the AI Engineering field - having all the necessary resources in one place. Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become an AI Engineer at a fraction of the cost of traditional programs (not to mention the amount of time you will save). The Skills 1. Intro to Artificial Intelligence Structured and unstructured data, supervised and unsupervised machine learning, Generative AI and foundational AI models. We know these buzzwords belong to the field of AI but what do they all mean? Why learn it? Gain a high-level understanding of the Artificial Intelligence field by going on a structured journey that will teach you what is AI, how important it is to have the right type of data to build AI models, which are the main types of techniques used to build AI, what is Generative AI and how AI researchers developed powerful foundational models such as GPT, Llama, Gemini, and Claude. 2. Python Programming If you are serious about becoming an AI developer, you have to learn Python programming. No code tools are not going to be sufficient. Python is a relatively new programming language and it is general-purpose. This means that you can use it to create web applications, computer games, and solve data science tasks. Python has a large ecosystem of libraries and tools, which make it particularly suitable for working with AI models. Why learn it? Python programming will become the key instrument you will use to talk to communicate to AI models and integrate their capabilities in your products. 3. Intro to NLP in Python Get an introduction to Natural Language Processing (NLP). You will learn techniques that enable computers to understand, generate, and classify human language. Why learn it? NLP is the foundation on which state-of-the-art modern Generative AI models have been built. By taking this part of the program, you will gain the necessary skills to design and implement AI systems that can interact with human language in meaningful ways. 4. Introduction to Large Language Models This part of the program will allow you to expand your Natural Language Processing capabilities by learning how to harness the amazing power of Large Language Models (LLMs). Get an introduction to important tools such as Transformers Architecture, GPT, Langchain, HuggingFace, BERT, and XLNet. Why learn it? This module is your gateway to understanding how Large Language Models work and how they can be applied to solve complex language-related tasks that require deep contextual understanding. 5. Building applications with LangChain LangChain is a framework that allows for seamless development of AI-driven applications by chaining interoperable components. Why learn it? Learn how to create applications that can reason. LangChain facilitates the creation of systems where individual pieces, such as language models, databases, and reasoning algorithms, can be interconnected to enhance overall functionality. 6. Vector Databases With emerging AI technologies, the importance of vectorization and vector databases is set to increase significantly. In this Vector Databases with Pinecone module, you'll have the opportunity to explore the Pinecone database-a leading vector database solution . Why learn it? Learning about vector databases is crucial as it equips you with the ability to efficiently manage and query large volumes of high-dimensional data, which is typical in machine learning and AI applications. These technical skills would allow you to deploy performance-optimized AI-driven applications. **What you get** A $1250 AI Engineering training program Active Q&A support All the knowledge to get hired as an AI Engineer A community of AI learners A certificate of completion Access to future updates Solve real-life business cases that will get you the job You will become an AI Engineer from scratch We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it. Why wait? Every day is a missed opportunity. Click the "Buy Now" button and become a part of our AI Engineer program today. Who this course is for You should take this course if you want to become an AI Engineer or if you want to learn about the field 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 Homepage Screenshots

Published 8/2024 Created by Victor Cuevas MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 17 Lectures ( 1h 14m ) | Size: 850 MB Mastering Custom GPTs: Automate, Innovate, and Transform Your Business with AI What you'll learn: Learn how to create and configure custom GPTs tailored to specific tasks or knowledge domains Master techniques for training GPTs on your own data and writing style Understand how to integrate GPTs with external tools and services using Zapier for automation Gain proficiency in embedding custom GPT chatbots into websites for enhanced user interaction Requirements: This course is suitable for beginners with no technical background, requiring only a ChatGPT Plus subscription and basic computer skills to get started with creating custom AI assistants. Description: This comprehensive course demystifies the world of custom GPTs, empowering you to harness the power of AI for your business or personal projects. Perfect for entrepreneurs, small business owners, and professionals with minimal technical background, you'll learn to create tailored AI assistants that can revolutionize your workflow.Starting with the basics, you'll discover how to build and train GPTs for specific tasks like content creation, email management, and data analysis. You'll explore techniques to infuse your AI with your unique voice and brand personality. As you progress, you'll delve into integrating your GPTs with popular tools through Zapier, unlocking powerful automation capabilities.The course covers practical applications, from crafting a virtual copywriting mentor to developing a social media marketing assistant. You'll also learn to embed AI chatbots on your website, enhancing customer engagement.Throughout the journey, you'll gain insights into AI data privacy and best practices for responsible AI use. By the end of this course, you'll have the skills to create, customize, and deploy AI assistants that can significantly boost your productivity and give your business a competitive edge in the AI-driven world. No coding required - just bring your ideas and enthusiasm to unlock the potential of custom GPTs. Who this course is for: This course is ideal for small business owners, entrepreneurs, and professionals looking to leverage AI to improve productivity, automate tasks, and enhance customer interactions, without needing technical expertise. Homepage Screenshots

Published 8/2024 Created by Md Alishan Ali MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9 Lectures ( 2h 15m ) | Size: 1.72 GB Master React Native Navigation by learning Stack, Bottom Tab, Top Tab, and Drawer Navigators, and create custom solution What you'll learn: Understand and implement various navigators in React Native, including Stack, Bottom Tab, Top Tab, and Drawer Navigators. Customize navigators with unique headers, buttons, and components to create a personalized user interface. Effectively pass data between screens and manage complex navigation flows in React Native applications. Build professional-grade mobile applications using advanced React Native navigation techniques and best practices. Requirements: No prior navigation experience is needed; this course will guide you from the basics to advanced topics. Basic understanding of JavaScript and React Native is recommended but not required. A computer with internet access for downloading necessary tools and following along with the course. An enthusiasm for learning mobile app development and improving your React Native skills. Description: In this course, you'll master React Native Navigation, a critical skill for any mobile app developer looking to create seamless, user-friendly experiences. Whether you're a complete beginner or have some experience with React Native, this course will guide you through both the fundamentals and advanced navigation techniques. You'll start by understanding the basics of React Native Navigation and how routing works within a React Native app. From there, you'll dive into setting up the Stack Navigator, learning how to customize headers, change background colors, and pass data effectively between screens.As you progress, you'll explore Bottom Tab and Top Tab navigations, both essential for building intuitive and user-friendly mobile interfaces. The course also covers the implementation of Drawer Navigation, a popular feature in many modern apps, and guides you through creating custom drawer navigations with nested stack navigators for more complex applications. By the end of this course, you'll have a deep and practical understanding of React Native Navigation, empowering you to build complex, professional-grade mobile applications with confidence.This course is designed for developers aiming to enhance their React Native skills, entrepreneurs looking to build polished mobile apps, or hobbyists passionate about mobile development. With over 1 hour of content, this course is packed with hands-on examples, practical insights, and tips to help you master React Native Navigation. Enroll now and elevate your React Native development skills to the next level! Who this course is for: Beginner to intermediate React Native developers looking to enhance their navigation skills. Mobile app developers who want to create seamless, user-friendly navigation in their apps. Entrepreneurs and hobbyists interested in building or improving mobile applications with React Native. Anyone eager to learn how to manage complex navigation flows and user interfaces in React Native. Homepage Screenshots

Published 8/2024 Created by Oak Academy,OAK Academy Team,Ali̇ CAVDAR MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 73 Lectures ( 7h 16m ) | Size: 3 GB [center] ChatGPT and AI | Learn Prompt Engineering, LLM and ChatGPT, Practice with 20 AI Tools and Master Generative AI skills What you'll learn: What is Artificial Intelligence? Artificial Narrow Intelligence (ANI) Artificial General Intelligence (AGI) Artificial Super Intelligence (ASI) Subsets of Artificial Intelligence - Machine Learning Subsets of Artificial Intelligence - Deep Learning Machine Learning vs. Deep Learning Machine Learning Study with a Real Example Large Language Models(LLM) Natural Language Processing(NLP) A Warning Before Switching to ChatGPT Revolutionary of the Era: OpenAI The Revolution of the Age: Creating a ChatGPT Account Let's Get to Know the ChatGPT Interface ChatGPT: Differences Between Versions Differences in the ChatGPT-4 Interface ChatGPT's Endpoints ChatGPT's Secret to More Accurate Answers Prompt Prompt Engineering Power Summary of Prompt Engineering Fundamentals Prompt Engineering: Sample Prompts Best Questions in Prompt Engineering Summary of the Best Questions in Prompt Engineering Reinforcing the topic through a scenario Drawing a Roadmap to the Prompt Directed Writing Request Clear Explanation Method Example-Based Learning RGC(Role, Goals, Context) Constrained Responses Adding Visual Appeal Prompt Updates ChatGPT-Google Extension Email Writing Summarizing YouTube Videos Talk to ChatGPT Quick Access to ChatGPT Dive Into Websites Get Prompt Assistance Using the ChatGPT API File Reading Visual Reading Visual Generation (DALL-E Introduction) Enhancing Images with DALL-E Improving Visuals Through Ready-Made Prompts Combining Images A Helper Site for Visual Prompts GPTs Create Your Own GPT Useful GPTs Big News: Introducing ChatGPT-4o How to Use ChatGPT-4o? Chronological Development of ChatGPT What Are the Capabilities of ChatGPT-4o? As an App: ChatGPT Voice Communication with ChatGPT-4o Instant Translation in 50+ Languages Interview Preparation with ChatGPT-4o Visual Commentary with ChatGPT-4o Requirements: A working computer (Windows, Mac, or Linux) Motivation to learn the the second largest number of job postings relative AI among all others Desire to learn AI & ChatGPT Curiosity for Artificial Intelligence Nothing else! It's just you, your computer and your ambition to get started today Description: Welcome to my "Generative AI and ChatGPT Master Course with 20 AI Tools" course.ChatGPT and AI | Learn Prompt Engineering, LLM and ChatGPT, Practice with 20 AI Tools and Master Generative AI skillsArtificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In this comprehensive course, you will dive deep into the world of AI through hands-on experience with 20 cutting-edge tools, including the revolutionary ChatGPT.This course is designed for learners of all levels who are eager to enhance their skills in AI and prompt engineering. Whether you're a beginner looking to understand the fundamentals or a seasoned professional seeking to refine your expertise, this course offers valuable insights and practical knowledge to help you achieve your goals.What you will learn?In this course, we will start from the very beginning and guide you through a comprehensive journey of mastering AI with hands-on experience using 20 different tools. We will begin by introducing the foundational concepts of Artificial Intelligence and how they apply to real-world scenarios. Here's what you'll learn:What is Artificial Intelligence?Artificial Narrow Intelligence (ANI)Artificial General Intelligence (AGI)Artificial Super Intelligence (ASI)Subsets of Artificial Intelligence - Machine LearningSubsets of Artificial Intelligence - Deep LearningMachine Learning vs. Deep LearningMachine Learning Study with a Real ExampleLarge Language Models(LLM)Natural Language Processing(NLP)A Warning Before Switching to ChatGPTRevolutionary of the Era: OpenAIThe Revolution of the Age: Creating a ChatGPT AccountLet's Get to Know the ChatGPT InterfaceChatGPT: Differences Between VersionsDifferences in the ChatGPT-4 InterfaceChatGPT's EndpointsChatGPT's Secret to More Accurate Answers: PromptPrompt Engineering PowerSummary of Prompt Engineering FundamentalsPrompt Engineering: Sample PromptsBest Questions in Prompt EngineeringSummary of the Best Questions in Prompt EngineeringReinforcing the topic through a scenarioDrawing a Roadmap to the PromptDirected Writing RequestClear Explanation MethodExample-Based LearningRGC(Role, Goals, Context)Constrained ResponsesAdding Visual AppealPrompt UpdatesChatGPT-Google ExtensionEmail WritingSummarizing YouTube VideosTalk to ChatGPTQuick Access to ChatGPTDive Into WebsitesGet Prompt AssistanceUsing the ChatGPT APIFile ReadingVisual ReadingVisual Generation (DALL-E Introduction)Enhancing Images with DALL-EImproving Visuals Through Ready-Made PromptsCombining ImagesA Helper Site for Visual PromptsGPTsCreate Your Own GPTUseful GPTsBig News: Introducing ChatGPT-4oHow to Use ChatGPT-4o?Chronological Development of ChatGPTWhat Are the Capabilities of ChatGPT-4o?As an App: ChatGPTVoice Communication with ChatGPT-4oInstant Translation in 50+ LanguagesInterview Preparation with ChatGPT-4oVisual Commentary with ChatGPT-4oSetting Up Your AI Lab: Learn how to set up your environment and install the necessary software and tools to get started with AI and prompt engineering.Understanding AI Fundamentals: Delve into the core concepts of Artificial Intelligence, including Machine Learning, Deep Learning, and Natural Language Processing, to build a solid foundation.Exploring ChatGPT: Get hands-on with ChatGPT, understanding its setup, interface, and the key differences between its various versions, including the latest innovations.Mastering Prompt Engineering: Discover the art and science of prompt engineering with practical techniques and examples that will help you craft precise and powerful prompts.Advanced AI Techniques: Learn advanced strategies such as constrained responses, visual generation, and integrating AI-powered tools for enhancing communication and creativity.Utilizing 20 AI Tools: Gain practical experience with 20 cutting-edge AI tools that will equip you with the skills to tackle complex challenges and develop innovative solutions.Real-World Applications: Apply what you've learned through real-world examples and projects that will prepare you to use AI effectively in your career.The foundational concepts of AI and its subsets, including Machine Learning, Deep Learning, and Natural Language Processing.Hands-on experience with 20 different AI tools, each with its own unique capabilities and applications.Mastery of ChatGPT, including its setup, interface, and the differences between its various versions.The art of prompt engineering, with practical examples and exercises to refine your skills.Advanced techniques in AI, such as constrained responses, visual generation, and the use of AI-powered extensions.How to unleash the full potential of ChatGPT for tasks like summarizing content, generating visuals, and enhancing communication.By the end of this course, you will have a deep understanding of AI principles and practical experience with the tools and techniques that are driving the future of technology.Why This Course?Artificial Intelligence is no longer a concept of the future; it's here, and it's shaping industries across the globe. This course is your gateway to mastering AI with practical tools that are used by professionals in real-world applications. You'll learn how to leverage AI for various purposes, from data analysis to natural language processing, all while gaining hands-on experience with tools that are at the forefront of AI technology.Throughout the course, you will explore key concepts of AI, such as Machine Learning, Deep Learning, and Large Language Models (LLMs), and see how they apply to real-world scenarios. You will also gain an in-depth understanding of ChatGPT and its different versions, along with techniques to enhance your prompt engineering skills.Who Is This Course For?This course is for everyone! Whether you have no prior experience or you're already familiar with AI, this course is expertly designed to teach you from the basics to advanced concepts. By the end of this course, you will be able to confidently apply AI tools and prompt engineering techniques to solve complex problems and create innovative solutions.Why Mastering AI?AI is one of the most sought-after skills in today's job market, and mastering it can open doors to numerous career opportunities. With the practical knowledge and skills you'll gain in this course, you'll be well-equipped to tackle challenges in industries such as technology, finance, healthcare, and more.Course Features:Lifetime access to all course materials, including updates and new content.High-quality video and audio production to ensure a clear and engaging learning experience.Fast and friendly support in the Q&A section to help you with any questions or challenges you may face.Udemy Certificate of Completion, ready for download upon finishing the course.Video and Audio Production QualityAll our videos are created/produced as high-quality video and audio to provide you the best learning experience.You will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadDive in now!We offer full support, answering any questions.Dive in now! Take the first step towards becoming an AI expert with this comprehensive course. We offer full support and are ready to answer any questions you may have along the way. See you in the "Generative AI and ChatGPT Master Course with 20 AI Tools" course!ChatGPT and AI | Learn Prompt Engineering, LLM and ChatGPT, Practice with 20 AI Tools and Master Generative AI skills Who this course is for: Anyone who wants to start learning AI & ChatGPT Anyone who needs a complete guide on how to start and continue their career with AI & Prompt Engineering And also, who want to learn how to develop Prompt Engineering Homepage [Hidden Content]

Last updated 5/2024 Duration: 7h 47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 2.98 GB Genre: eLearning | Language: English Python for Computer Vision & Image Recognition - Deep Learning Convolutional Neural Network (CNN) - Keras & TensorFlow 2 What you'll learn Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning Build an end-to-end Image recognition project in Python Learn usage of Keras and Tensorflow libraries Use Artificial Neural Networks (ANN) to make predictions Use Pandas DataFrames to manipulate data and make statistical computations. Requirements Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same Description You're looking for a complete Convolutional Neural Network (CNN) course that teaches you everything you need to create a Image Recognition model in Python, right? You've found the right Convolutional Neural Networks course! After completing this course you will be able to Identify the Image Recognition problems which can be solved using CNN Models. Create CNN models in Python using Keras and Tensorflow libraries and analyze their results. Confidently practice, discuss and understand Deep Learning concepts Have a clear understanding of Advanced Image Recognition models such as LeNet, GoogleNet, VGG16 etc. How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Convolutional Neural networks course. If you are an Analyst or an ML scientist, or a student who wants to learn and apply Deep learning in Real world image recognition problems, this course will give you a solid base for that by teaching you some of the most advanced concepts of Deep Learning and their implementation in Python without getting too Mathematical. Why should you choose this course? This course covers all the steps that one should take to create an image recognition model using Convolutional Neural Networks. Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 1,300,000 enrollments and thousands of 5-star reviews like these ones This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Practice test, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems. Below are the course contents of this course on ANN Part 1 (Section 2)- Python basics This part gets you started with Python. This part will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn. Part 2 (Section 3-6) - ANN Theoretical Concepts This part will give you a solid understanding of concepts involved in Neural Networks. In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model. Part 3 (Section 7-11) - Creating ANN model in Python In this part you will learn how to create ANN models in Python. We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. Lastly we learn how to save and restore models. We also understand the importance of libraries such as Keras and TensorFlow in this part. Part 4 (Section 12) - CNN Theoretical Concepts In this part you will learn about convolutional and pooling layers which are the building blocks of CNN models. In this section, we will start with the basic theory of convolutional layer, stride, filters and feature maps. We also explain how gray-scale images are different from colored images. Lastly we discuss pooling layer which bring computational efficiency in our model. Part 5 (Section 13-14) - Creating CNN model in Python In this part you will learn how to create CNN models in Python. We will take the same problem of recognizing fashion objects and apply CNN model to it. We will compare the performance of our CNN model with our ANN model and notice that the accuracy increases by 9-10% when we use CNN. However, this is not the end of it. We can further improve accuracy by using certain techniques which we explore in the next part. Part 6 (Section 15-18) - End-to-End Image Recognition project in Python In this section we build a complete image recognition project on colored images. We take a Kaggle image recognition competition and build CNN model to solve it. With a simple model we achieve nearly 70% accuracy on test set. Then we learn concepts like Data Augmentation and Transfer Learning which help us improve accuracy level from 70% to nearly 97% (as good as the winners of that competition). By the end of this course, your confidence in creating a Convolutional Neural Network model in Python will soar. You'll have a thorough understanding of how to use CNN to create predictive models and solve image recognition problems. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy ------------ Below are some popular FAQs of students who want to start their Deep learning journey- Why use Python for Deep Learning? Understanding Python is one of the valuable skills needed for a career in Deep Learning. Though it hasn't always been, Python is the programming language of choice for data science. Here's a brief history In 2016, it overtook R on Kaggle, the premier platform for data science competitions. In 2017, it overtook R on KDNuggets's annual poll of data scientists' most used tools. In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals. Deep Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it's nice to know that employment opportunities are abundant (and growing) as well. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge-and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for People pursuing a career in data science Working Professionals beginning their Deep Learning journey Anyone curious to master image recognition from Beginner level in short span of time Homepage Screenshots

Last updated 8/2022 Created by Krapesh Bhatt MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + vtt | Duration: 64 Lectures ( 4h 47m ) | Size: 2.71 GB [center] Learn web server log analysis and identify malicious traffic. What you'll learn: Basics of web server, FTP, SSH logs and their common logging formats Read and understand the log entries Visualize and differentiate between normal and attack traffic Identify common attacks like SQLi, XSS, Command Injection, LFI/RFI, Bruteforce, file uploads, etc. Identify the possible source of the attack Pin point a possible vulnerability in web application that forms an entry point for attack. Common tools & techniques used for detecting attacks - Manual & automated Requirements: Basics of linux command line. Installing & operating Virtualbox or similar virtualization platforms. Description: Some Important Questions.Are you curious on how an attack pattern looks when a web application is under a malicious attack?Are you interested in knowing the basics of attack detection and what tools and techniques are used when we want to detect an attack on a web application or an authentication service like SSH or FTP?Do you want to develop a basic skillset on reading and deciphering the interesting information in logs & add value to your existing skills?You could be an application developer, a network administrator, a security professional who would like to gain the skills to detect and pinpoint attacks by malicious actors and protect your web applications.About the courseThis course is designed with a sole purpose to educate learners about the immense value the web server and authentication logs or logs in general store and how the information in these logs can be helpful to detect any ongoing attack that your webserver or authentication service might be under. Or an attack that already have taken place. This course explains the basics of web servers and how the logging is done on the web servers default logging locations. We also explain about the structure of logs & default logging locations for the widely used web servers - Apache, Nginx & Microsoft IIS. Authentication servers like SSH & FTP as these too often come under bruteforce attack.Course teaching methodologyWe focus on both theoretical & practical aspects of log analysis. So we work in both the ways - as an attacker who would try to attack the application / SSH / FTP services & a defender, who will analyse the logs using multiple tools and visualise how the logs of an application under attack can look like.We setup a test environment with a victim machine and an attacker machine and generate both normal and malicious traffic and then use the generated logs to investigate the common attack pattern and learn the typicality of an attack and educate ourselves on how the attacks look in the logs and appreciate how logs store valuable information which is often overlooked.This will ensure that learners will get hands-on experience on the concept of log analysis and utilise this basic skillset in their day-to-day security or administrative tasks & activities.We also discuss about the best practices from multiple standard sources that can be implemented to ensure that the logging is done at an optimum level and stay vigilant.By the end of the course, you will gain a foundational understanding on:Grasp the basics of logging concepts, its importance and standard log formats & log storage location for web servers like Apache, Nginx & Microsoft IIS. Authentication services like SSH & FTP.Identify the Malicious traffic that gets logged and ascertain if the application / service is under active attack or has been attacked and learn about the potential point of attack.Gain a broad insight on best logging practices as per the OWASP guidelines and develop an understanding on ways in which you can implement a robust logging for your IT assets.Gain an overall thought process for analysing any of the logs of system and troubleshoot and pinpoint an issue. Who this course is for: Cyber Security professionals who want to learn to detect attacks from logs. Network administrators wanting to develop basic skills for log analysis. Application Developers - wanting to quickly detect security issues that might be occuring. Students wanting to enhance their knowledge in log analysis. Homepage

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 444.30 MB | Duration: 2h 25m Learn Brand Strategies to Drive Value: Key Concepts and Practical Techniques for Building Strong, Impactful Brands. What you'll learn Understand core principles of brand strategy and their role in driving brand value. Learn to conceptualize and articulate unique brand value propositions. Analyze real-world case studies to understand strategic brand decisions. Explore theories of brand differentiation and competitive positioning. Understand key drivers of brand equity and how to manage them. Examine the impact of digital transformation and globalization on branding. Develop critical and strategic thinking skills in the context of brand strategy. Requirements No Prerequisites. Description This comprehensive course offers a deep dive into the strategic foundations essential for value creation, laying out the critical concepts and frameworks necessary for building strong, impactful brands. Students will embark on an intellectual journey that explores the intricate interplay between brand strategy and business success, equipping them with the theoretical knowledge to navigate and influence the market effectively.The course begins by demystifying the core principles of brand strategy, providing students with a solid grounding in the fundamental elements that drive brand value. Through a detailed examination of brand positioning, identity, and equity, participants will learn how to conceptualize and articulate a brand's unique value proposition. This foundational knowledge serves as the bedrock upon which students will build a comprehensive understanding of strategic brand development.As the course progresses, students will delve into advanced theories and models that illustrate the nuanced ways in which brands create and sustain value. By studying real-world examples and case studies, learners will gain insights into the strategic decisions that have shaped some of the world's most successful brands. This exploration will highlight the importance of aligning brand strategy with broader business objectives, demonstrating how a well-crafted brand can drive growth and profitability.A critical aspect of the course is its focus on the theoretical underpinnings of brand differentiation and positioning. Students will analyze the competitive landscape to understand how brands can distinguish themselves in a crowded marketplace. This analysis will cover various dimensions of brand strategy, including emotional and functional benefits, brand personality, and the role of storytelling in creating a compelling brand narrative. These insights will empower students to think strategically about how to position a brand for maximum impact.In addition to brand positioning, the course will address the strategic importance of brand equity management. Participants will explore the key drivers of brand equity and learn how to measure and manage these assets over time. This section will cover brand loyalty, perceived quality, brand associations, and other critical components that contribute to a brand's overall value. By understanding these drivers, students will be better equipped to make informed decisions that enhance and protect brand equity.The course concludes with an examination of contemporary challenges and opportunities in brand strategy. Students will explore the impact of digital transformation, globalization, and changing consumer behaviors on brand development. This forward-looking perspective will prepare students to anticipate and respond to future trends, ensuring their brand strategies remain relevant and effective in an ever-evolving marketplace.Throughout this course, students will be encouraged to think critically and strategically about the role of branding in business. By the end of the program, participants will have developed a sophisticated understanding of the essential elements of brand strategy and value creation. This knowledge will enable them to contribute meaningfully to their organizations, driving brand success and achieving sustainable competitive advantage. Enroll today to master the art of strategic brand development and unlock the potential to create impactful, enduring brands. Overview Section 1: Course Resources and Downloads Lecture 1 Course Resources and Downloads Section 2: Understanding Core Principles of Brand Strategy Lecture 2 Section Introduction Lecture 3 Introduction to Brand Strategy Lecture 4 Case Study: Strategizing Success in a Crowded Market Lecture 5 Defining Brand Identity and Positioning Lecture 6 Case Study: Revitalizing Brand Identity & Positioning Lecture 7 Crafting a Compelling Brand Message Lecture 8 Case Study: Crafting an Authentic and Resonant Brand Narrative Lecture 9 Section Summary Section 3: Exploring Brand Positioning and Identity Lecture 10 Section Introduction Lecture 11 Introduction to Brand Positioning Lecture 12 Case Study: Mastering Brand Positioning Lecture 13 Crafting a Unique Brand Identity Lecture 14 Case Study: Crafting a Distinct Brand Identity Lecture 15 Aligning Brand Positioning with Market Strategy Lecture 16 Case Study: Strategic Brand Positioning and Market Alignment Lecture 17 Section Summary Section 4: Analyzing Brand Equity and Value Creation Lecture 18 Section Introduction Lecture 19 Understanding the Basics of Brand Equity Lecture 20 Case Study: Leveraging Brand Equity for Product Launch Success Lecture 21 Measuring Brand Value in the Market Lecture 22 Case Study: Strategic Brand Value Enhancement Lecture 23 Strategies for Enhancing Brand Equity Lecture 24 Case Study: Building Brand Equity in Renewable Energy Lecture 25 Section Summary Section 5: Course Summary Lecture 26 Conclusion Marketing professionals seeking to enhance their expertise in strategic brand development,Business consultants aiming to deepen their knowledge of brand strategy frameworks,Entrepreneurs looking to build and sustain impactful and resilient brands,Brand managers interested in mastering the principles of brand positioning and differentiation,MBA students specializing in marketing and brand management disciplines,Corporate executives focused on aligning brand strategy with business growth objectives,Advertising and PR professionals wanting to understand the intricacies of brand equity,Product managers aiming to create compelling brand narratives and value propositions Screenshots

Last updated 5/2022 Duration: 2h52m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.72 GB Genre: eLearning | Language: English (Serbian, Bosnian, Croatian) What you'll learn Greetings and basic words Latin letter Personal Pronouns and auxiliary verb to be in Present Tense Nouns (nominative singular) and introduction Possessive adjectives Countries and languages Verbs in Present Tense Numbers from 1 to infinity Cases: Nominative, Genitive, Vocative, Instrumental, Locative Family members, animals, professions Time, Price, Distance .... Requirements Previous knowledge is not required, you will learn Serbian from the beginning. You don't need any book or dictionary, you will get everything here. Description Ćao! My name is Tamara and this is my course for the Serbian language. I have studied languages and I know how boring it can be when there is just grammar and a lot of rules, so I tried to make it easier and funnier for you. In this course, you will learn the basis for Serbian and when I say Serbian, it is also Bosnian and Croatian languages because they are very similar. So when you finish it, you can say you know three foreign languages. :) I made a book and a workbook for you with a lot of pictures, conversations, and exercises and you will get it in pieces with every lesson. Also, there will be a little quiz after every section, just to check if you are ready for the next one. And in the end, you will have the final exam which is here to check if you have mastered the material and if you are ready for Serbian 2! Also, I will make a little present for you, for your course completion. When you complete the course, you should have a basic knowledge of Serbian and be able to communicate in Serbian in easy conversations. I look forward to working with you and teaching you Serbian! Who this course is for The course is for everyone who wants to learn Serbian / Bosnian / Croatian Homepage Screenshots

Published 5/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 215.89 MB | Duration: 60 m 45s Claude 3 is an AI model developed by Anthropic, able to have open-ended conversations and help with a variety of tasks like writing, analysis, math, and coding. This course will show developers how to call the Claude 3 API and integrate it into various projects. This course will show developers how to call the Claude 3 API and integrate it into various projects. Prerequisites This course is geared towards developers with experience coding, preferably in Python. What You Will Learn How to make API calls to Claude 3. How to select the appropriate Claude 3 model for your use case. - How to effectively engineer prompts to get desired outputs. How to integrate Claude 3 into your applications. How to ensure security and optimize costs when using Claude 3. Homepage

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 196.48 MB | Duration: 0h 31m Enhance your sourcing skills with key practices, challenges, and sustainability approaches in today's supply chain. What you'll learn Understand the fundamentals of material sourcing with a focus on key considerations and best practices. Identify challenges in material sourcing and develop strategies to mitigate risks and enhance efficiency. Explore the importance of sustainability and ethical sourcing practices and how they impact business operations. Utilize technology and data analytics to optimize sourcing processes and decision-making. Requirements Basic understanding of supply chain management principles is recommended. Familiarity with business management concepts will be beneficial. Description The course "Mastering Material Sourcing: Strategies for Success" is designed for individuals and professionals aiming to deepen their understanding of material sourcing and its critical role in the supply chain management of businesses. In today's rapidly evolving marketplace, securing quality materials at competitive prices while maintaining ethical and sustainable practices is paramount for long-term success. This course will guide you through comprehensive content covering various dimensions of material sourcing, equipping you with the skills and knowledge necessary to thrive in this field.Module 1: Understanding Material Sourcing You will begin with an exploration of material sourcing, defining what it entails and discussing its significance in the broader context of supply chain management. The initial lectures will outline fundamental concepts such as identifying suppliers, negotiating contracts, and ensuring the quality and reliability of sourced materials. You'll learn how effective material sourcing not only assures supply but also sharpens a company's competitive edge in a crowded marketplace.Module 2: Key Considerations and Benefits The course will delve into critical considerations that underpin successful material sourcing practices. We will dissect elements such as quality, availability, lead time, and cost, breaking down how these factors can influence sourcing decisions and impact overall business performance. You'll gain an understanding of the myriad benefits that arise from proficient sourcing, including cost savings, improved product quality, and resilience against supply chain disruptions.Module 3: Challenges and Risk Management Confronting real-world challenges is a vital component of mastering material sourcing. This section will address common hurdles, such as supply chain disruptions, variability in quality across suppliers, and fluctuating raw material costs. Learners will engage with effective strategies that facilitate robust risk management, providing insights into supplier assessment, diversification, and contract establishment.Module 4: Advanced Strategies for Success This module will present modern strategies that enhance sourcing viability. Topics will include the importance of long-term partnerships with suppliers, diversification tactics, and continuous evaluation of supplier performance. You will also be introduced to streamlined processes that improve the efficiency of procurement and sourcing workflows.Module 5: Sustainability and Ethical Practices Sustainability is at the forefront of contemporary sourcing practices. You will explore sustainable sourcing techniques that promote environmental responsibility, ethical labor practices, and the benefits of adopting a circular economy approach. This segment will equip you with the knowledge to make informed choices that align with corporate social responsibility goals while still meeting business needs.Module 6: The Role of Technology Technology is revolutionizing material sourcing, and this module provides a detailed examination of the tools available for enhancing sourcing processes. You'll learn how to leverage data analytics, supply chain management systems, the Internet of Things (IoT), and blockchain technology to optimize workflows, maintain transparency, and bolster supplier relationships.Module 7: Future Trends and Best Practices As we look toward the future, emerging trends in material sourcing will be analyzed. Topics include the impact of automation and artificial intelligence, advanced materials development, and the increasing importance of strategic partnerships. You'll discover best practices that encompass continuous supplier evaluation, embracing technology, and focussing on sustainability throughout sourcing processes.Throughout the course, case studies from successful companies will be shared to illustrate real-world application of the principles covered. Interactive discussions, assignments, and assessments will reinforce learning, ensuring that you can apply concepts effectively in your specific context.By the end of this course, you will have honed a comprehensive skill set that places you at the forefront of material sourcing strategies, thoroughly prepared to tackle industry challenges and capitalize on opportunities for growth. Overview Section 1: Introduction to Material Sourcing Lecture 1 Introduction Lecture 2 Your Trainer Lecture 3 Table of content Lecture 4 What is Material Sourcing? Section 2: Key considerations, challenges, and best practices Lecture 5 Why is Material Sourcing Important? Lecture 6 Key Considerations in Material Sourcing Lecture 7 Benefits of Effective Material Sourcing Lecture 8 Challenges in Material Sourcing Lecture 9 Strategies for Successful Material Sourcing Lecture 10 Factors to Consider when Selecting Suppliers Lecture 11 Different Types of Materials and their Sourcing Lecture 12 Trends in Material Sourcing Lecture 13 Sustainable Material Sourcing Practices Lecture 14 The Role of Technology in Material Sourcing Lecture 15 Risk Management Lecture 16 Cost Optimization Lecture 17 Collaboration and Partnerships Lecture 18 Case Studies of Successful Material Sourcing Lecture 19 Best Practices in Material Sourcing Lecture 20 Future of Material Sourcing Lecture 21 Key Players in the Material Sourcing Lecture 22 Legal and Ethical Considerations in Material Sourcing Section 3: Conclusion Lecture 23 Conclusion and Key Takeaways Professionals in supply chain management, procurement, or related fields looking to enhance their knowledge of material sourcing.,Business owners and managers seeking to improve their sourcing strategies and operational efficiency. 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Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 592.75 MB | Duration: 0h 59m Helping parents support their teens in using lesser known strategies in college admissions What you'll learn Understand Data Insights: Learn how to interpret college-specific metrics that aren't widely known. Strategize for Success: Equip yourself with expert strategies for handling interviews, demonstrating genuine interest, and boosting your child's chances if they Build Strong Application Foundations: Ensure every component is polished and professional. Utilizing Your High School Counselor and Support Systems Requirements No experience necessary. Description This course offers an in-depth exploration of key strategies for parents to support their teen in navigating the college admissions process successfully. Begin by understanding the Common Data Set to gain insights into the metrics colleges use. Learn how to effectively collaborate with your child's high school counselor and make informed decisions about advanced coursework like Honors, AP, and PSEO. Master the art of crafting compelling personal statements and securing strong letters of recommendation. Discover the nuances of different interview types and the significance of demonstrated interest in your child's application. Finally, explore proven strategies to enhance your child's chances of getting off the waitlist. This course is intended for parents to purchase and help support their child in their college application process.Module 1: Utilizing the Common Data SetStart with this to provide a foundational understanding of the data and metrics colleges use.Module 2: Take Advantage of Your High School CounselorIntroduce how to effectively work with high school resources and support systems early in the process.Module 3: Honors/AP/PSEODiscuss advanced coursework options and their impact on admissions.Module 4: Personal Statement & EssaysFocus on crafting strong personal statements and essays, essential components of the application.Module 5: Letter of RecommendationGuide parents and students on obtaining and using strong letters of recommendation.Module 6: Types of InterviewsExplain the different types of interviews and how to prepare for them.Module 7: Understanding Demonstrated InterestDescribe how showing interest in a college can impact admissions decisions.Module 8: Strategies to Get Off The WaitlistOffer strategies and tips for getting off the waitlist. Overview Section 1: Common Data Set Lecture 1 Common Data Set Section 2: Take Advantage of Your High School Counselor Lecture 2 Take Advantage of Your High School Counselor Section 3: Advanced Coursework Lecture 3 Advanced Coursework and It's Impact on Admissions Section 4: Personal Statements & Essays Lecture 4 Personal Statements & Essays Section 5: Letters of Recommendation Lecture 5 Letters of Recommendation Section 6: Types of Interviews Lecture 6 Types of Interviews Section 7: Understanding Demonstrated Interest Lecture 7 Understanding Demonstrated Interest Section 8: Strategies to Get Off The Waitlist Lecture 8 Strategies to Get Off The Waitlist Current high school students and their parents. School counselors could also use this in their own work or for a class that they teach or presentation to staff or parents. Screenshots

Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.18 GB | Duration: 2h 0m 12 key enablers of Leadership What you'll learn Essentials of Leadership Learn different enablers of Leadership Fundamentals that are needed when you join an organization as a Leader Basic, Intermediate & Advanced skills required to Lead a team in an organization Mastering the organizational Team dynamics Requirements Graduates, Post Graduates, Management Professionals, Leaders who lead/manage teams No prior experience required. This is suitable for both Freshers and Experienced Professionals Description Starting a new leadership role can feel overwhelming, but fear not! In this Lecture, I share invaluable insights for leaders at every level, from newcomers to seasoned professionals. Drawing from my industry experience and leadership knowledge, I've explained about the essential strategies for fostering team synergy. This includes the following:1. An introduction to building and defining your team 2. Setting ground rules 3. Negotiate your boundaries 4. Empower your team 5. Ensure adequate training 6. Enable shared understanding 7. Managing conflicts 8. Lead your team 9. Overcoming obstacles 10. Supporting team Performance 11. Collaborating with stakeholders 12. Leading with emotional intelligence These enablers, provides insights and strategies to help you cultivate a strong and cohesive team. By learning these enablers you'll be able to set team direction, motivating employees, fostering communication, making strategic decisions, encouraging innovation, building effective teams, upholding ethical standards, and promoting continuous development. Strong leadership drives organizational success and creates a thriving, dynamic workplace. Whether you're a seasoned leader or aspiring to take on leadership roles, these principles are invaluable for driving team success. I encourage you to share your thoughts and experiences related to these enablers in the comments section below. Additionally, feel free to suggest any specific topics you'd like to see covered in future videos. Your feedback is greatly appreciated! Overview Section 1: Introduction to Leadership Essentials Lecture 1 Unlocking Team Synergy: Leadership Essentials Section 2: Enabler 1 - Building your team Lecture 2 Build your team Section 3: Enabler 2 - Defining Team Ground Rules Lecture 3 Enabler 2 - Define Team Ground Rules Section 4: Enabler 3 - Negotiate your boundaries Lecture 4 Enabler 3 - Negotiate your boundaries Section 5: Enabler 4 - Empower your team Lecture 5 Enabler 4 - Empower your team Section 6: Enabler 5 - Ensure Adequate Training Lecture 6 Ensure Adequate Training Section 7: Enabler 6 - Build a shared understanding Lecture 7 Build a shared understanding Section 8: Enabler 7 - Manage Conflict Lecture 8 Manage Conflict Section 9: Enabler 8 (Part 1) - Lead your team Lecture 9 Importance of Leading your team Section 10: Enabler 8 (Part 2) - Lead your team Lecture 10 Leaders responsibility in leading the team Frontline Leaders, Middle and Senior Leaders, Seasoned Professionals or those who are aiming to take up Leadership roles,Those who are willing to transition from Individual Contributors to Managerial roles Screenshots