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Free Download Udemy - Learn NextJs By Building 10 Projects Published: 3/2025 Created by: Thomas Sankara MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 75 Lectures ( 11h 30m ) | Size: 5.3 GB Build 10 NextJs projects to learn the intricacies of the React Framework What you'll learn Learn how to build any application using NextJs Learn React Server and Client components Client and Server-Side Rendering Learn NextJs's File-based routing, nested routes, route groups and dynamic routing Learn Data Fetching in both client and server components Learn about the usePathname and useRouter hook How to style a NextJs application Requirements Knowledge of how to structure a website using HTML Knowledge of how to style a website using CSS Tailwind CSS is a good addition but NOT REQUIRED How to manipulate the DOM using JavaScript Some knowledge of how React works with the virtual DOM and rendering components Description NextJs is an open source web development framework built by Vercel, and built upon the React JavaScript library. It has become one of the most beloved frameworks for front-end and back-end web developers because it offers server-side rendering by default, and static-site generation. Because it is a framework, NextJs handles a lot of nuances that React does not. For example:It has built in optimizations for images and fonts so that they don't cause a layout shift when your page loads.It uses React Suspense to enable dynamic HTML streaming from the server so that users can still interact with your website as more content is processed from the server.It uses React Server components by default which are more secure when querying data from a database and which provide and additional layer of security to your application because it's data is not saved on the client.NextJs allows us to make server components asynchronous. This allows us to use the async / await keywords when naming components in order to fetch data from a source. It allows for many CSS integrations including CSS modules, frameworks and CSS-in-JS libraries such as Emotion.It has support for Incremental Static Generation (ISR), caching, and the newly introduced, but still experimental Partial Prerendering (PPR).It has support for server actions which are asynchronous functions that can be run in both the server and client to execute in one network roundtrip.You can build your own API routes such as for authentication and webhooks thanks to its Route handlers.You can implement your own middleware.It uses a file-based routing system that allows for generating dynamic routes at build time, and nesting routes.NextJs is built on React, Turbopack, and Speedy Web Compiler (SWC). Who this course is for Beginner developers curious about React Beginner developers curious about NextJS Beginner developers who want to improve their front-end journey with NextJs Homepage: https://www.udemy.com/course/lets-build-10-nextjs-projects/ [b]AusFile[/b] https://ausfile.com/1j0ucd6dbijr/lyyxt.Learn.NextJs.By.Building.10.Projects.part1.rar.html https://ausfile.com/1ze5rn7x48xm/lyyxt.Learn.NextJs.By.Building.10.Projects.part2.rar.html https://ausfile.com/8ztkwiv1rknp/lyyxt.Learn.NextJs.By.Building.10.Projects.part3.rar.html https://ausfile.com/66mcq08qf6ne/lyyxt.Learn.NextJs.By.Building.10.Projects.part4.rar.html https://ausfile.com/akcdnpl8dqvd/lyyxt.Learn.NextJs.By.Building.10.Projects.part5.rar.html https://ausfile.com/qx2h3pu4cilb/lyyxt.Learn.NextJs.By.Building.10.Projects.part6.rar.html Rapidgator https://rg.to/file/3d5b2d1d89816f838fbd847cff03ddfa/lyyxt.Learn.NextJs.By.Building.10.Projects.part1.rar.html https://rg.to/file/399aeafca0b01eedc1fe3c318377f403/lyyxt.Learn.NextJs.By.Building.10.Projects.part2.rar.html https://rg.to/file/94172e955bee9b94ae8cbec151621d4e/lyyxt.Learn.NextJs.By.Building.10.Projects.part3.rar.html https://rg.to/file/bbf3af07428e002b45d7cb557f4469c7/lyyxt.Learn.NextJs.By.Building.10.Projects.part4.rar.html https://rg.to/file/5cef1b2b210c180f6a707cff8c3dea73/lyyxt.Learn.NextJs.By.Building.10.Projects.part5.rar.html https://rg.to/file/fe121f34ebde972c90ce5d76c773061b/lyyxt.Learn.NextJs.By.Building.10.Projects.part6.rar.html Fikper Free Download https://fikper.com/Fi7gJ62Ut5/lyyxt.Learn.NextJs.By.Building.10.Projects.part1.rar.html https://fikper.com/VGdPfQvIgu/lyyxt.Learn.NextJs.By.Building.10.Projects.part2.rar.html https://fikper.com/rL23awtwrJ/lyyxt.Learn.NextJs.By.Building.10.Projects.part3.rar.html https://fikper.com/YRMpxhbf9z/lyyxt.Learn.NextJs.By.Building.10.Projects.part4.rar.html https://fikper.com/Syg2L51cza/lyyxt.Learn.NextJs.By.Building.10.Projects.part5.rar.html https://fikper.com/dmsMpa6Q2t/lyyxt.Learn.NextJs.By.Building.10.Projects.part6.rar.html No Password - Links are Interchangeable

Free Download Udemy - Deepseek AI Secrets - Build Projects, Automate & Create Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 42m | Size: 322 MB Build AI projects with Deepseek, create apps, automate tasks, and grow a YouTube channel. What you'll learn Hands-On AI Projects - Build real-world applications, including a calculator, puzzle game, piano app, and interactive maps using Deepseek AI. AI-Powered Content Creation - Learn how to automate content generation, create blog titles, design visuals, and optimize workflow with Deepseek. YouTube Channel Development with AI - Use AI for branding, scripting, voiceovers, animations, and professional video editing. No Prior Experience Needed - Whether you're a beginner or experienced, this course guides you step-by-step to mastering Deepseek AI. Automation & Innovation - Explore how Deepseek AI can streamline tasks, enhance productivity, and boost creativity in multiple industries. Requirements No Prior AI or Coding Experience Needed - This course is beginner-friendly. A Computer or Laptop - Required for hands-on project development. Internet Access - Necessary for using Deepseek AI and accessing course materials. Deepseek Account - Free or paid account setup to follow along with projects. Basic Computer Skills - Familiarity with using web applications and basic software tools. Willingness to Learn & Experiment - Curiosity to explore AI-powered automation and content creation. Description Unlock the full potential of Deepseek AI and take your skills to the next level. This course is designed to help you build AI-powered projects, develop applications, automate workflows, and create engaging content using Deepseek's advanced capabilities.What you will learn:Deepseek Fundamentals - Understand the transformer revolution and how Deepseek leverages AI for innovation.Setting Up Deepseek - Learn how to create an account, explore features, and configure projects efficiently.Building AI-Powered Applications - Develop real-world projects, including:A calculator appAn interactive puzzle gameA piano applicationMap visualizations for data representationRunning and Managing Deepseek Projects Locally - Learn how to test and refine projects.AI-Driven Content Creation - Use Deepseek to:Generate unique blog titlesCreate customized mapsEnhance automation with AI toolsYouTube Content Creation with AI - Learn how to:Analyze successful channelsGenerate video scripts with AI assistanceDesign logos, banners, and thumbnailsAdd AI-generated voiceovers and animationsEdit and enhance videos using CapCutWhy Take This Course?By the end of this course, you will:Gain hands-on experience with AI-powered developmentMaster Deepseek's automation and AI-driven featuresLearn to create content and applications efficientlyAcquire skills that can be applied to personal projects or businessWhether you are an aspiring developer, entrepreneur, or content creator, this course equips you with the tools and knowledge to innovate with Deepseek AI.No prior experience with AI or coding is required-just a willingness to explore and build. Who this course is for Aspiring AI Enthusiasts - Anyone curious about AI-powered development and automation. Developers & Programmers - Those interested in building AI-driven applications with Deepseek. Entrepreneurs & Business Owners - Looking to integrate AI into projects, automation, or SaaS development. Content Creators & YouTubers - Want to use AI for scriptwriting, voiceovers, visuals, and video editing. Freelancers & Digital Marketers - Seeking AI-powered tools for content creation and workflow automation. Students & Tech Learners - Anyone eager to explore AI innovation without prior experience. Homepage: https://www.udemy.com/course/deepseek-ai-secrets-build-projects-automate-create/ [b]AusFile[/b] https://ausfile.com/mvuzr40fww5u/ioana.Deepseek.AI.Secrets.Build.Projects.Automate..Create.rar.html Rapidgator https://rg.to/file/0150b1b5ca275dd679c9b078843f3901/ioana.Deepseek.AI.Secrets.Build.Projects.Automate..Create.rar.html Fikper Free Download https://fikper.com/k306fr70ig/ioana.Deepseek.AI.Secrets.Build.Projects.Automate..Create.rar.html No Password - Links are Interchangeable

Free Download Udemy - C++23 Fundamentals with Projects & Algorithms Published: 3/2025 Created by: Daniel Gakwaya MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 102 Lectures ( 60h 21m ) | Size: 33.3 GB Go beyond the basics-build, debug, and optimize modern C++23 projects with pro tools like CMake and vcpkg. What you'll learn Modern C++23 - Write efficient, maintainable, and modern C++ code using the latest language features. Using Pro Tools - Build projects with CMake, vcpkg, and third-party libraries like a professional. Debugging Like a Pro - Learn debugging techniques using the debugger coming with your compiler. Handleing File I/O - Work with modern C++ file handling using std::filesystem and streams. Building GUI Apps - Create graphical applications using libraries like SFML and ftxui Memory Management - Understand RAII, smart pointers, and modern memory management techniques. Working with Containers - Use STL containers effectively and understand their best use cases. Writing Modular Code - Build scalable projects with C++20 modules and best design practices. Optimizing Performance - Write high-performance C++ using smart pointers, compile time computations, move semantics, and efficient algorithms. Requirements No prior C++ experience needed - Just bring your curiosity and eagerness to learn! A computer with internet access - You'll need to download tools like CMake, a compiler, and vcpkg. Basic programming knowledge (optional) - Familiarity with any programming language helps but isn't required. Strong willingness to learn - C++ can be challenging, but with dedication, you'll master it! Description Master Modern C++ with Real-World Projects & Industry ToolsC++ is one of the most powerful programming languages, but learning it the right way makes all the difference. C++23 Fundamentals with Projects & Algorithms is not just another beginner's course-it's designed to teach you modern C++ the way professionals use it.Unlike courses that focus on small, standalone code snippets, this course immerses you in real-world development from the start. You'll build structured projects using industry-standard tools like modern CMake, vcpkg, and third-party libraries-the same tools used by professional C++ developers.What you'll learn:C++ Standards: C++11, C++14, C++20, and C++23 - Master the latest features while ensuring you can work with and improve legacy codebases.Structured projects, not just toy examples - Learn to organize code across multiple files and build projects like in real development environments.Industry-standard tools - Get hands-on experience with modern CMake, vcpkg, and external libraries to develop scalable applications.Algorithms & data structures - Strengthen your problem-solving skills with key algorithmic concepts.Debugging & compile time computations - Write efficient, compile-time friendly C++ and learn how to troubleshoot issues.File I/O, GUI development & more - Work with files, create user interfaces, and explore advanced C++ topics.This course is built by the instructor of the popular C++20 Masterclass and pushes things even further-bringing you closer to how C++ is actually used in practice. Whether you're new to C++ or looking to modernize your skills, this course will equip you with the right tools and mindset for real-world development. Who this course is for Anyone serious about learning C++ - We teach C++ the way professionals use it, with modern CMake, vcpkg, third-party libraries, debugging, and more. Beginners with no C++ experience - If you're new to programming or switching to C++, this course will guide you from the ground up Self-taught programmers - If you've dabbled in C++ but struggle with best practices, modern tools, and real-world projects, this course is for you. Students and aspiring developers - Ideal for those looking to build a strong foundation in C++ for software development, game dev, or embedded systems. Professionals in other languages - If you know Python, Java, or C# and want to add C++ to your skill set, this course will get you up to speed. 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Free Download Building Generative AI Projects with LLM, Langchain, GAN Published: 3/2025 Created by: Christ Raharja MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 22 Lectures ( 4h 34m ) | Size: 1.8 GB Learn how to build generative AI apps using large language models, langchain, and generative adversarial networks What you'll learn Learn the basic fundamentals of large language model and generative adversarial network, such as getting to know their use cases and understanding how they work Learn how to build legal document analyzer using LLM Learn how to analyze Excel data using LLM Learn how to build AI short story generator using LLM Learn how to build AI code generator using LLM Learn how to build customer support chatbot using LLM Learn how to build report summarizer using LLM Learn how to build AI travel planner using Langchain Learn how to build AI math solver using Langchain Learn how to build AI random face generator using ProGAN Learn how to build random digital art generator using Deep Convolutional GAN Learn how to build generator and discriminator functions Learn how to train and fine tune GAN model Learn how to create user interface using Streamlit and deploy app to Hugging Face Space Learn how to build LLM based apps using Dify AI and Relevance AI Learn how to find AI models in Hugging Face and download dataset from Kaggle Requirements No previous experience in LLM is required Basic knowledge in Python Description Welcome to Building AI Projects with LLM, Langchain, GAN course. This is a comprehensive project based course where you will learn how to develop advanced AI applications using Large Language Models, integrate workflow using Langchain, and generate images using Generative Adversarial Networks. This course is a perfect combination between Python and artificial intelligence, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in generative AI integration. In the introduction session, you will learn the basic fundamentals of large language models and generative adversarial networks, such as getting to know their use cases and understand how they work. Then, in the next section, you will find and download datasets from Kaggle, it is a platform that offers a diverse collection of datasets. Afterward, you will also explore Hugging Face, it is a place where you can access a wide range of ready to use pre-trained models for various AI applications. Once everything is ready, we will start building the AI projects. In the first section, we are going to build a legal document analyzer, where users can upload a PDF file, and AI will extract key information, summarize complex legal texts, and highlight important clauses for quick review. Next, we will develop an Excel data analyzer, enabling users to upload spreadsheets and leverage AI to identify trends, generate insights, and automate data analysis processes. Then after that, we will create an AI short story generator, where users can generate creative and engaging narratives based on simple prompts, making it a useful tool for writers and content creators. Following that, we will build an AI code generator, where users can input natural language Descriptions, and AI will generate structured, functional code snippets, streamlining the coding process. In the next section, we will develop a Q&A customer support chatbot, capable of answering common inquiries based on a given knowledge base, providing automated customer service responses. In addition, we will also create an AI-powered summarizer, designed to condense lengthy articles, research papers, or reports into concise summaries, helping users quickly understand key points. Moving on to LangChain, we will build a travel planner that takes user preferences and generates personalized itineraries, making trip planning easier and more efficient. Then, we will also create a math problem solver that interprets and solves mathematical equations step by step, helping students and professionals understand problem-solving techniques. In the following section, we will create GAN projects, for the first project, we will develop a random face generator, which can create realistic human faces from scratch, demonstrating the power of generative AI in producing lifelike imagery. In the second project, we will build a deep convolutional GAN from scratch by implementing the generator and discriminator functions, defining a loss function, and training the model using an adversarial learning approach to generate realistic images. Once we have built the apps we will conduct testing to make sure the app has been fully functioning and we will also deploy the app. Lastly, at the end of the course, we will build an LLM based app using no code tools like Dify AI and Relevance AI. By using these tools, you will be able to speed up the development process.First of all, before getting into the course, we need to ask ourselves this question, why should we build apps using a large language model? Well, here is my answer, LLMs can be used for analyzing context, automating complex text-based tasks, and generating human-like responses. These technologies not only streamline workflows and accelerate information retrieval but also improve accuracy in text generation and data processing.Whether it's content creation, document analysis, or chat-based interactions, LLMs make AI driven solutions more efficient and accessible.Below are things that you can expect to learn from this course:Learn the basic fundamentals of large language model and generative adversarial network, such as getting to know their use cases and understanding how they workLearn how to find AI models in Hugging Face and download dataset from KaggleLearn how to build legal document analyzer using LLMLearn how to analyze Excel data using LLMLearn how to build AI short story generator using LLMLearn how to build AI code generator using LLMLearn how to build customer support chatbot using LLMLearn how to build report summarizer using LLMLearn how to build AI travel planner using LangchainLearn how to build AI math solver using LangchainLearn how to build AI random face generator using ProGANLearn how to build random digital art generator using Deep Convolutional GANLearn how to build generator and discriminator functionsLearn how to train and fine tune GAN modelLearn how to create user interface using Streamlit and deploy app to Hugging Face SpaceLearn how to build LLM based apps using Dify AI and Relevance AI Who this course is for AI Engineers who are interested in building generative AI apps using LLMs and Langchain Data scientists who are interested in performing data augmentation using GANs Homepage: ?https://www.udemy.com/course/building-generative-ai-projects-with-llm-langchain-gan/ Rapidgator https://rg.to/file/4ca3f1324f27079c83d29e9b9cf28c8f/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part1.rar.html https://rg.to/file/e6742a760f3520a851c745627f0733d0/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part2.rar.html Fikper Free Download https://fikper.com/Z3M8XwCPxv/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part1.rar.html https://fikper.com/tZIF4DaKWz/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part2.rar.html No Password - Links are Interchangeable

Free Download AI Engineering Use Cases and Projects on AWS - Production-Grade LLM Systems Released: 03/2025 Duration: 46m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 90 MB Level: Intermediate | Genre: eLearning | Language: English Discover the intricate architecture of production-level large language models (LLMs) using Rust on AWS. Instructor Noah Gift covers an array of key topics, including the Ollama DeepSeek-R1, Claude, and other cutting-edge LLM systems, as well as open-source strategies and multimodel workflows. Along the way, get hands-on experience with YAML prompts and proxy routing to optimize your language models. Designed for AI engineers, developers, and tech enthusiasts, this course provides the skills necessary to advance your expertise in AI and machine learning. By the end of this course, you'll be prepared to deploy and scale sophisticated language models in a production-grade environment, staying ahead of the curve in the rapidly evolving field of AI. This course was Created by: Noah Gift and Pragmatic AI Labs. We are pleased to host this training in your library. Homepage: https://www.linkedin.com/learning/ai-engineering-use-cases-and-projects-on-aws-production-grade-llm-systems Fileaxa https://fileaxa.com/tsqy3f3x06nx/sguxi.Linkedin..AI.Engineering.Use.Cases.and.Projects.on.AWS.ProductionGrade.LLM.Systems.rar TakeFile https://takefile.link/hvos6wxh0bba/sguxi.Linkedin..AI.Engineering.Use.Cases.and.Projects.on.AWS.ProductionGrade.LLM.Systems.rar.html Rapidgator https://rg.to/file/b8037c1ef3918c68d87e54fb83259e34/sguxi.Linkedin..AI.Engineering.Use.Cases.and.Projects.on.AWS.ProductionGrade.LLM.Systems.rar.html Fikper Free Download https://fikper.com/HNk7RHoKQ8/sguxi.Linkedin..AI.Engineering.Use.Cases.and.Projects.on.AWS.ProductionGrade.LLM.Systems.rar.html No Password - Links are Interchangeable

Free Download AI Coding Projects - Build NextJS and React Projects using AI Published: 3/2025 Created by: Masynctech Coding School MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 61 Lectures ( 4h 55m ) | Size: 2.9 GB Build Next.js & React Projects Faster Using AI | Learn AI-Powered Development with Cursor & Windself What you'll learn Use AI tools like Cursor and Windself to accelerate Next.js and React development Build real-world projects using AI-assisted coding techniques Optimize code efficiency and debugging with AI-powered tools Develop AI-generated web applications with minimal effort. Requirements Basic knowledge of JavaScript and React is helpful but not required A computer with internet access to install and use AI coding tools No prior AI experience needed - everything will be explained step by step. Enthusiasm to learn and experiment with AI-powered coding techniques. Description Are you ready to revolutionize your coding workflow with AI? In this course, you'll learn how to build Next.js and React projects faster and more efficiently using AI-powered coding tools like Cursor and Windself. Whether you're a beginner or an experienced developer, this course will show you how to leverage AI to streamline development, debug code, and boost productivity.What You'll Learn:How to use AI-assisted coding tools to write, optimize, and debug React and Next.js projects.Best practices for integrating AI into your development workflow.Hands-on projects that demonstrate the power of AI in building real-world applications.How AI can help automate repetitive coding tasks, improve efficiency, and reduce errors.Who is this Course For?This course is perfect for:Beginner and experienced developers looking to speed up their coding process.React and Next.js learners who want to explore AI-assisted development.Tech professionals interested in enhancing their workflow with AI-powered tools.Anyone curious about how AI can assist in modern web development.By the end of this course, you'll have a strong understanding of how AI can transform your coding experience and help you build high-quality applications with less effort and more efficiency. Get ready to code smarter, not harder! Who this course is for Beginner and experienced developers looking to leverage AI for coding. React and Next.js enthusiasts who want to accelerate project development Tech professionals interested in AI-assisted web development workflows. Anyone curious about using AI tools like Cursor and Windself to build projects faster. Homepage: ?https://www.udemy.com/course/ai-coding-projects/ Rapidgator https://rg.to/file/7f0f7433371013943e005e9519a6d667/rvtyk.AI.Coding.Projects.Build.NextJS.and.React.Projects.using.AI.part1.rar.html https://rg.to/file/754a1386cc370b5def352d4c9c5bf6b8/rvtyk.AI.Coding.Projects.Build.NextJS.and.React.Projects.using.AI.part2.rar.html https://rg.to/file/8d83c914678164061bece283803c0195/rvtyk.AI.Coding.Projects.Build.NextJS.and.React.Projects.using.AI.part3.rar.html Fikper Free Download https://fikper.com/NcH6hjecfZ/rvtyk.AI.Coding.Projects.Build.NextJS.and.React.Projects.using.AI.part1.rar.html https://fikper.com/WBO9KJBISz/rvtyk.AI.Coding.Projects.Build.NextJS.and.React.Projects.using.AI.part2.rar.html https://fikper.com/MRkEDHfkpf/rvtyk.AI.Coding.Projects.Build.NextJS.and.React.Projects.using.AI.part3.rar.html No Password - Links are Interchangeable

Free Download Web Development Mastery - 10+ Projects with HTML, CSS, JS Published: 3/2025 Created by: Vijay Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 58 Lectures ( 5h 12m ) | Size: 2.25 GB Master Web Development from Scratch with 10+ Hands-On Projects What you'll learn HTML Basics: Learn to structure web pages with HTML. CSS Styling: Style pages using CSS, including layouts and animations. JavaScript: Master JavaScript for interactive features. Real-World Projects: Build 12+ practical web projects. Requirements Basic Computer Knowledge: Familiarity with using a computer and internet browsers. No Prior Coding Experience Needed: The course is beginner-friendly and doesn't require prior knowledge of HTML, CSS, or JavaScript. Description Welcome to the ultimate Web Development Mastery course! This comprehensive, hands-on course is perfect for beginners who want to dive into the world of web development and build real-world projects from scratch using HTML, CSS, and JavaScript. By the end of this course, you'll have a strong foundation in web development and will have built 10+ fully functional projects to showcase in your portfolio.Throughout the course, you'll learn step-by-step how to create stunning, interactive websites and applications that cover a wide range of skills, from basic web page structure to advanced JavaScript functionality. Whether you're aiming for a career in tech or simply looking to enhance your skills, this course will give you the practical experience you need to succeed.What You'll Learn:Master the core front-end technologies: HTML, CSS, and JavaScript.Learn responsive design principles to create mobile-friendly websites.Gain hands-on experience with 10+ real-world projects, such as a Digital Clock, Glassmorphism Calculator, To-Do List, and more.Understand the basics of debugging and troubleshooting your code.Explore version control with Git to manage your projects effectively.Build interactive features like a Meme Generator, Currency Converter, and Real-Time Crypto Prices.Projects You Will Build:Digital Clock: Learn how to create a fully functional, real-time digital clock using JavaScript.Glassmorphism Calculator: Build a stylish, interactive calculator with a modern glassmorphism design.To-Do List: Create a simple yet effective to-do list with functionality to add and remove tasks.Currency Converter: Design a currency converter that pulls real-time exchange rates.Real-Time Currency Prices: Display live currency prices from around the world in a dynamic and interactive interface.Live Crypto Prices: Create a real-time crypto price tracker that updates live data from the market.Meme Generator: Build a fun meme generator where users can upload images and add text.Theme Toggle: Implement a dark mode/light mode toggle feature on a website.Infinite Scroll: Add infinite scrolling functionality to a webpage to load more content as users scroll.BMI Calculator: Design a simple calculator to calculate Body Mass Index (BMI) based on user input.Expense Tracker: Build a budget tracker to help users track their income and expenses.Pomodoro Timer: Create a Pomodoro timer that helps users manage their time and stay productive.Why This Course?This course is project-based, meaning you'll learn by doing. By the end of it, you'll have built several fully functional projects that can be showcased in your portfolio. Not only will you have practical coding experience, but you'll also develop problem-solving skills, attention to detail, and the ability to troubleshoot your own code.This course also ensures you're ready for the real world by teaching you best practices in version control using Git, so you can manage your projects, collaborate with others, and deploy your websites efficiently.Whether you're a complete beginner or someone with a little experience looking to solidify your skills, this course is designed to take you from novice to confident web developer with 12+ real-world projects that will impress employers and clients alike. Who this course is for Beginners looking to learn web development. Aspiring developers wanting to master HTML, CSS, and JavaScript. Tech enthusiasts eager to build real-world projects. 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Free Download Complete React, Next.js & TypeScript Projects Course 2025 Last updated: 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 49.24 GB | Duration: 100h 36m Hands-on React: 25+ Projects Featuring Next.js, TypeScript, Prisma, Zod, Shadcn, Axios, Router 6, Query 5, Redux Toolkit What you'll learn Make Great Projects Using React Requirements Strong Knowledge of HTML, CSS, JS is Required. ES6 is optional. Description MAJOR COURSE UPDATE - JUNE 2024 !!!Exciting New Content in React CourseI'm thrilled to announce that I am adding more valuable content to our React course to help you stay ahead of industry standards. Here's what you can look forward to:Comprehensive TypeScript tutorialDetailed lessons on React with TypeScriptComplete Next.js tutorial with TypeScriptSeveral complex Next.js projectsOver 30 hours of new content !!!Stay ahead with the latest industry standards and master the skills needed for modern React development!What's New?TypeScript Integration:TypeScript Tutorial: Learn the basics and advanced features of TypeScript.React with TypeScript: Master the integration of TypeScript with React to build robust applications.Next.js Tutorials:Next.js with TypeScript: Comprehensive tutorials on building Next.js applications using TypeScript.Complex Next.js Projects: Work on real-world projects that leverage the full potential of Next.js.Why These Additions?Industry Standards: Both TypeScript and Next.js have become essential skills for modern React development.New React Features: Many new React features are only available through React frameworks like Next.js.Full-Stack Development: Next.js enables quicker and more efficient full-stack development by allowing server-side and client-side code to coexist seamlessly.Team Efficiency: TypeScript enhances code maintainability and collaboration, making it a preferred choice for large teams.Mastering React 18: Building Modern Web ApplicationsDive into the dynamic world of front-end development with our comprehensive course on React 18, a cutting-edge JavaScript library used for creating engaging user interfaces. Developed and maintained by Facebook, React has become a cornerstone in building both single-page and mobile applications.Why Learn React?High Demand: React's popularity makes it a valuable skill for job seekers in the tech industry.Efficiency and Performance: React's use of a virtual DOM ensures fast, scalable, and efficient application development.Flexibility and Reusability: The library's design allows for reusable components, simplifying the development process and making code maintenance easier.Course Coverage:React Fundamentals: Understand the core principles of React.Latest Features: Get hands-on with React 18.Hooks & State Management: Deep dive into useState, useEffect, useRef, useReducer, useCallback, useMemo, and custom hooks.Advanced Concepts: Learn about conditional rendering, prop drilling, context API, and more.Navigation and Routing: Explore React Router 6 for seamless app navigation.Data Handling: Utilize axios and redux-toolkit for efficient data management.Project-Based Learning: Build over 25 real-world projects including a Birthday Reminder, E-Commerce Site, Quiz App, and a GitHub Users Explorer.Ideal For:Aspiring and experienced front-end developers looking to master React and elevate their web development skills. Whether you're aiming to boost your career prospects or build high-performance web applications, this course is your gateway to becoming a proficient React developer.All Project Intros are available for preview.Here are some of the projects we are going to build in this course1. Birthday Buddy2. Tours3. Reviews4. Accordion5. Menu6. Tabs7. Slider8. Lorem Ipsum9. Color Generator10. Grocery Bud11. Navbar12. Sidebar and Modal13. Strapi Menu14. Cart15. Unsplash Images16. Contentful CMS17. Mix Master18. Tailwind Portfolio19. E-Commerce20. Jobster21. Github Users22. Jobster23. Comprehensive Full Stack Next.js E-Commerce Project Everyone who wants to learn React Homepage: https://www.udemy.com/course/react-tutorial-and-projects-course/ DOWNLOAD NOW: Complete React, Next.js & TypeScript Projects Course 2025 Rapidgator https://rg.to/file/9add8b73fd156e3897c0d3b9ea93acb0/ysrze.Complete.React.Next.js..TypeScript.Projects.Course.2025.part01.rar.html https://rg.to/file/6aadd6393bbe01fbe84545d565aafc0f/ysrze.Complete.React.Next.js..TypeScript.Projects.Course.2025.part02.rar.html https://rg.to/file/163ba97851b0998fe3e94bbb2853316d/ysrze.Complete.React.Next.js..TypeScript.Projects.Course.2025.part03.rar.html https://rg.to/file/87fd9b66f3fe8be4413c35de932c016c/ysrze.Complete.React.Next.js..TypeScript.Projects.Course.2025.part04.rar.html https://rg.to/file/a29d7f92f9ab660755cfb38c067ad593/ysrze.Complete.React.Next.js..TypeScript.Projects.Course.2025.part05.rar.html 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Free Download AWS, Terraform & GitHub Actions Projects - Personal Website Published: 3/2025 Created by: Ehsan Shekari MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 34 Lectures ( 2h 10m ) | Size: 1.1 GB Use AWS, Terraform, and GitHub Actions to Build Real-World Projects. What you'll learn Deploy a Static Website on AWS Automate Deployments with GitHub Actions Manage Infrastructure with Terraform Configure Custom Domains with Route 53 Requirements Basic Knowledge of AWS and Cloud Computing Basic Knowledge of Terraform Basic Knowledge of Git and GitHub Actions Description Master AWS, GitHub Actions, and Terraform: Deploy a Personal Website with Cloud InfrastructureReady to take your web development skills to the next level? This course will teach you how to deploy a personal website on AWS using powerful cloud technologies, including S3, CloudFront, Route 53, GitHub Actions, and Terraform. Whether you're a beginner or an experienced developer, you'll gain hands-on experience in building, automating, and scaling a secure, fast, and fully-functional website in the cloud.What you'll learn in this course:How to host a static website on AWS S3 and configure CloudFront for faster content delivery worldwide.Automate deployments with GitHub Actions, creating an efficient CI/CD pipeline for faster updates and error-free deployments.Use Terraform to define and provision your AWS infrastructure with Infrastructure as Code (IaC) principles, ensuring your setup is maintainable.Connect your personal domain to your AWS website using Route 53, and set up SSL certificates for secure browsing.Why enroll?Learn from real-world examples and gain practical experience with industry-leading tools used by professionals worldwide.Master cloud technologies like AWS, Terraform, and GitHub Actions that are in high demand in today's tech market.Deploy your own website, manage it with ease, and make updates effortlessly with automated processes.Ideal for developers, engineers, and tech enthusiasts who want to enhance their cloud skills Whether you're building a personal portfolio, blog, or small business website, this course will give you the skills to create it in the right way.Enroll now and get started building your cloud-based website today! Who this course is for All Backend Developers All Software Engineers Cloud Computing and CI/CD Enthusiasts Homepage: https://www.udemy.com/course/aws-terraform-github-actions-projects-personal-website/ Fileaxa https://fileaxa.com/zrlexeqt72qj/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar https://fileaxa.com/c1dokod1weef/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar TakeFile https://takefile.link/fu8zmbu7y259/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar.html https://takefile.link/nzrr4tq4piu4/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar.html Rapidgator https://rg.to/file/603af00e28666ab0fa7300e4eb49b21b/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar.html https://rg.to/file/7384882be87bf780a9d1492a1a01a9a2/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar.html Fikper Free Download https://fikper.com/IZ4BOo5vjE/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar.html https://fikper.com/GNZ7M4kgyI/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - End-to-End Data Analysis Projects with Microsoft Excel Published: 3/2025 Created by: Adeiza Awesome Emmanuel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 45 Lectures ( 15h 49m ) | Size: 8.8 GB Data Analysis Internship with Microsoft Excel What you'll learn Data Collection & Importing - Gather and import raw data from multiple sources. Data Cleaning & Preparation - Use Excel tools to clean and structure data for analysis. Data Transformation - Apply formulas, Power Query, and other techniques for manipulation. Exploratory Data Analysis (EDA) - Identify trends, patterns, and anomalies in data. Data Visualization - Create professional charts, graphs, and dashboards. PivotTables & PivotCharts - Summarize and analyze large datasets efficiently. Statistical Analysis - Apply descriptive and inferential statistics for decision-making. Business Insights & Reporting - Translate data findings into actionable insights. Real-World Projects - Work on end-to-end case studies from various industries. Data-Driven Decision-Making - Use insights to drive strategic business solutions. Requirements Basic Knowledge of Microsoft Excel - Familiarity with Excel's interface and basic functions. Understanding of Data Concepts - Some exposure to data analysis or business intelligence is helpful but not required. Computer with Microsoft Excel Installed - Preferably Excel 2016 or later (Office 365 recommended). Analytical Mindset - Willingness to explore data, identify patterns, and derive insights. Eagerness to Learn - A passion for solving real-world problems with data-driven approaches. Description Course Description:Unlock the full power of Microsoft Excel and master the end-to-end data analysis process with real-world projects. This course is designed to take you through the complete lifecycle of a data analysis project, from data collection and cleaning to visualization and interpretation, helping you turn raw data into actionable insights.In today's data-driven world, businesses rely on Excel for critical decision-making. Whether you're a beginner or an experienced professional, this course will equip you with the skills to analyze, visualize, and present data effectively. You will work on practical projects that mirror industry scenarios, helping you build the confidence to apply your knowledge in real-world situations.What You'll Learn:Data Cleaning & Preparation - Remove duplicates, handle missing data, and structure datasets efficientlyData Exploration & Analysis - Apply Excel functions, PivotTables, and Power Query for deep insightsAdvanced Excel Functions - Use LOOKUPs, INDEX-MATCH, IF formulas, and statistical toolsData Visualization - Create interactive dashboards and reports using charts and graphsTrend Analysis & Forecasting - Identify patterns and make predictions based on dataAutomating Workflows - Use Power Query to simplify and streamline data analysisWho Should Take This Course?Aspiring Data Analysts looking to build real-world projectsBusiness Professionals who want to improve their Excel analytics skillsStudents & Researchers needing hands-on data analysis experienceEntrepreneurs & Decision-makers looking to make data-driven decisionsBy the end of this course, you will be able to confidently analyze, interpret, and present data using Microsoft Excel-an essential skill for professionals across industries.Enroll now and start your journey into data analysis with Excel. Who this course is for Beginners in Data Analysis - Anyone looking to start a career in data analysis using Microsoft Excel. Business Professionals - Managers, analysts, and decision-makers who need to analyze data for strategic insights. Students & Graduates - Individuals looking to build practical data analysis skills for academic or career growth. Entrepreneurs & Small Business Owners - Those who want to leverage data for better business decisions. Freelancers & Consultants - Professionals looking to enhance their Excel-based data analysis expertise. Anyone Interested in Data-Driven Decision Making - No prior data analysis experience required! 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Free Download Udemy - 21 data science portfolio projects in 21 days Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 6h 41m | Size: 6.25 GB Master Machine Learning & AI: From Time Series Analysis to Reinforcement Learning with Real-World Applications What you'll learn Build and implement various machine learning models for real-world business applications, from time series forecasting to natural language processing Master practical data science techniques including customer segmentation, sentiment analysis, and predictive modeling using industry-standard tools Develop end-to-end AI solutions for business problems such as fraud detection, product recommendations, and risk analysis Apply advanced analytics techniques to create actionable insights from complex datasets across multiple domains (finance, retail, healthcare, etc.) Requirements Basic understanding of Python programming language Familiarity with fundamental mathematical concepts (statistics, probability, and algebra) No prior machine learning or AI experience required A computer with internet access and ability to install required software packages Basic understanding of data structures and algorithms would be helpful but not mandatory Description This comprehensive data science course is structured as an intensive 21-day journey through the most relevant and in-demand areas of machine learning and artificial intelligence. Each day focuses on a complete project implementation, carefully designed to build both your technical skills and your professional portfolio.The curriculum progresses logically from foundational concepts to advanced applications:**Week 1 (Days 1-7):**- Begin with time series forecasting using ARIMA- Master customer analytics and segmentation- Develop credit risk models- Build social media sentiment analyzers- Create e-commerce recommendation systems- Design employee attrition predictors- Implement real estate pricing models**Week 2 (Days 8-14):**- Develop cybersecurity threat detection systems- Create fraud detection algorithms- Build energy consumption forecasting models- Design traffic flow prediction systems- Calculate customer lifetime value- Analyze stock market patterns- Implement NLP text classification**Week 3 (Days 15-21):**- Conduct market basket analysis- Create health risk prediction models- Build music genre classifiers- Forecast housing market trends- Develop automated trading systems- Master demand forecasting with Prophet- Build AI agents using reinforcement learningEach project utilizes industry-standard tools and frameworks including:- Python programming language- Popular libraries like Scikit-learn, TensorFlow, and PyTorch- Data manipulation tools like Pandas and NumPy- Visualization libraries including Matplotlib and Seaborn- Advanced ML frameworks such as Prophet and NLTKThe course includes:- On-demand video content- Downloadable source code for all projects- Real-world datasets for practical experience- Interactive coding exercises- Project-based assessments- Certificate of completionAll materials reflect the latest industry practices and technological advances in the field of data science and machine learning. 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Free Download Linkedin - Getting Started with Dovetail for UX Projects Released 02/2025 With Shanae Chapman MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 28s | Size: 128 MB Learn how to use the AI-powered features of Dovetail to help streamline your UX research and design projects. Course details Learn how to use the AI-powered features of Dovetail to help streamline your UX research and design projects with UX expert Shanae Chapman. Shanae takes you through the latest Dovetail tools and shows how you can save time by adding them to your research toolkit. Learn strategies on navigating the AI features, risks, and considerations for leveraging AI enabled products in a responsible, ethical, and inclusive way. Homepage: https://www.linkedin.com/learning/getting-started-with-dovetail-for-ux-projects DOWNLOAD NOW: Linkedin - Getting Started with Dovetail for UX Projects Fileaxa https://fileaxa.com/ersz32wn1da5/pssxr.Getting.Started.with.Dovetail.for.UX.Projects.rar TakeFile https://takefile.link/ablin9zb8lqu/pssxr.Getting.Started.with.Dovetail.for.UX.Projects.rar.html Rapidgator https://rg.to/file/7bc95808e243e4c6dba50bccdf095d09/pssxr.Getting.Started.with.Dovetail.for.UX.Projects.rar.html Fikper Free Download https://fikper.com/TU7IRSefGr/pssxr.Getting.Started.with.Dovetail.for.UX.Projects.rar.html : No Password - Links are Interchangeable

Free Download Master Pega with 25+ Hands-On Projects - Full Code & Demos Published: 2/2025 Created by: MG TechVerse MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 16m ) | Size: 2 GB Learn Pega with 25+ Real-World Projects | Full Code, Demos, HLD, Scrum | Master App Development & Pega Best Practices What you'll learn Build 25+ real-world Pega applications with complete hands-on experience Master Pega design principles, case management, and workflows Learn Pega integration techniques, data models, and automation Work with Scrum sheets, PPTs, and HLDs to simulate real-world projects Requirements Basic understanding of Pega fundamentals (optional) Familiarity with case management & workflows (optional) No prior experience required - beginner-friendly approach A computer with Pega installed (setup guide included) Description Master Pega with 25+ Hands-On ProjectsAre you looking to master Pega with real-world projects and hands-on experience? This course provides everything you need to build enterprise-grade applications using Pega, including full project code, demos, Agile documentation (HLD, Scrum Sheets, PPTs), and best practices.What You Will LearnDevelop 25+ Pega applications with real-world use cases.Gain hands-on experience with case management, decisioning, integrations, and automation.Work with end-to-end project documentation (HLD, Scrum, PPTs, codebase).Apply Agile methodologies to real-world Pega implementations.Learn best practices for scalable and optimized Pega applications.Projects Covered IncludeArchitects - Hotel Booking ApplicationCineSquads - Movie Ticket Booking SystemCrew X - New Employee Onboarding ApplicationDeccan Slayers - Luggage Management System (Knapsack)Five Stars - Medical Store ManagementFLASH 5 - Course Delivery System (EduVista)Infinite Horizons - Campus Recruitment System (ProHire)PawsNJoy - Online Pet StoreSurprise Squad - Online Gift Store (GiftKart)Team Cuisine - Online Food Ordering (Food365)Digital Library - Book Lending and ManagementDistribution System - Logistics and Inventory TrackingBook-a-Arena - Sports Arena Booking SystemDrug Purchase Reminder - Automated Prescription ManagementCanteen Automation - Smart Food Ordering and Payment SystemFlight Booking System - Airline Ticketing and ReservationRequest Meeting Room - Internal Meeting Room SchedulingHealthcare Insurance - Policy Management and Claims ProcessingNew Bank Account Opening - Customer Onboarding and KYCLocker Management - Secure Digital Locker AllocationEvaluate and Sell a Vehicle - Vehicle Inspection and Sale PlatformE-Wallet Management System - Digital Payment and Fund TransfersAarogya Registration - Hospital and Daycare Patient EnrollmentSelf-Help Group - Community Fund Management and AssistanceVendor Onboarding - Supplier Registration and Approval ProcessWho Should Take This Course?Pega beginners and professionals looking for practical experience.Developers and architects aiming to enhance their Pega skills.Students preparing for Pega job interviews and certifications.Business analysts and IT professionals transitioning to Pega.Why Enroll in This Course?Hands-on learning with real-world Pega use cases.Step-by-step project implementation.Full code access, demos, and Agile project documentation.Gain industry-level expertise to boost your Pega career.Start your Pega journey today and build real-world expertise with practical projects. Enroll now! Who this course is for Aspiring Pega Developers looking to build real-world projects Pega Architects & System Designers who want hands-on practice Job seekers preparing for Pega interviews with practical projects Working professionals aiming to level up their Pega skills Homepage: https://www.udemy.com/course/master-pega-with-25-hands-on-projects-full-code-demos/ Rapidgator https://rg.to/file/6a5735d41f69692f227ff42210f85a4c/rgmlg.Master.Pega.with.25.HandsOn.Projects..Full.Code..Demos.part1.rar.html https://rg.to/file/c94872b787aae40e6d3194e380e30fb3/rgmlg.Master.Pega.with.25.HandsOn.Projects..Full.Code..Demos.part2.rar.html https://rg.to/file/2679c9f5fba6d667bd2c5bad58f19625/rgmlg.Master.Pega.with.25.HandsOn.Projects..Full.Code..Demos.part3.rar.html Fikper Free Download https://fikper.com/phT6o8cs9H/rgmlg.Master.Pega.with.25.HandsOn.Projects..Full.Code..Demos.part1.rar.html https://fikper.com/XWo1p1apPn/rgmlg.Master.Pega.with.25.HandsOn.Projects..Full.Code..Demos.part2.rar.html https://fikper.com/YI3wDzquPc/rgmlg.Master.Pega.with.25.HandsOn.Projects..Full.Code..Demos.part3.rar.html : No Password - Links are Interchangeable

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pdf | 19.81 MB | English| Isbn:9781457187209 | Author: Brook Drumm, James Floyd Kelly, Rick Winscot, John Edgar Park, John Baichtal | Year: 2015 Description: Category:Computers, Computer Graphics & Design, CAD/CAM RapidGator NitroFlare https://nitroflare.com/view/6FF88B9CE73EE62/ TurboBit https://turbobit.net/spicxbehbfvm.html https://rapidgator.net/file/896b94361145fc6a535580a32120ba5c/

Arduino for Arduinians: 70 Projects for the Experienced Programmer by John Boxall English | October 24th, 2023 | ISBN: 1718502788 | 488 pages | True (Retail Copy) | 24.44 MB Guided by an expert craftsman with over 30 years of experience, you'll build 70 awesome Arduino projects and emerge a true Arduinian ready to invent your own complex creations. For Arduino programmers who've mastered the basics, this book is the next step toward becoming an expert Arduinian. You'll build 70 complex and practical projects with this versatile microcontroller platform and gain advanced skills to design reliable, professional, user-friendly creations. You'll remote-control your Arduino via Bluetooth and instant messaging, improve the accuracy of clock projects with internet time servers, and automatically turn your Arduino off when it completes a task. You'll safely control AC mains power and higher currents and conserve battery with low-power and sleep modes. You'll also use Charlieplexing to control LED matrix displays, keep your Arduino running with a watchdog timer, communicate over longer wired distances with the RS232 and RS485 buses, and much more. Along the way, you'll build fun and useful devices like: • A camera-enabled circuit to stream videos • An MP3 player to listen to audio of your choice • A CAN bus circuit to gather speed and engine data from your car • A web server to display data captured with an ESP32 board • A PS/2 keyboard to improve your user interfaces and easily enter and display data Guided by an Arduino master, you'll harness dozens of sensors, motors, displays, and techniques to bring your own expert inventions to life. Requirements: Arduino Uno and other Arduino-compatible microcontrollers andUSBasp programmers. Some projects may require other inexpensive parts. Enjoy No any convert or low quality! https://rapidgator.net/file/dec953d50287857674f3092af657652a/ https://nitroflare.com/view/8D648D6B03DD46A/ https://turbobit.net/eziqozypmtq6.html

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Free Download Projects in React Native - Learn By Building Real World Apps (2024) Published 10/2024 Created by Md Alishan Ali MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 7h 39m ) | Size: 5.33 GB Build a complete eCommerce app using React Native! Master real-world projects, components, and app deployment essentials What you'll learn Build android and iOS e-commerce app using React Native React Native basics and advanced knowledge React Native Navigation (Bottom Tab Navigation and Nested Navigation) Global State Management Using Use Context Hook Learn to Design Any Kind of Apps Requirements Basic Understanding of Javascript Description Are you ready to become a React Native expert by working on real-world projects? In this course, you will dive deep into mobile app development by building a complete eCommerce app using React Native. Whether you're a beginner or have some experience with React Native, this course will guide you through the entire process of building a modern, functional mobile app.What You Will Learn:How to set up a React Native project from scratch.Creating beautiful user interfaces with React Native components.Working with state management and API integration.Implementing navigation and managing routes effectively.Handling user interactions and feedback using advanced form handling techniques.Styling the app with modern tools to ensure a seamless, attractive experience.Additionally, you'll learn best practices for optimizing app performance and improving user experience.This course will walk you through the core aspects of app development that will be useful across various real-world projects. By the end of this course, you'll have hands-on experience building an eCommerce app, which you can use to showcase your skills to potential employers or clients.If you've ever wanted to master mobile app development using React Native, this is the perfect course to get started. Enroll now and start building! Who this course is for React Native beginners to advanced learners. Homepage https://www.udemy.com/course/projects-in-react-native-learn-by-building-real-world-apps-h/ Screenshot Rapidgator https://rg.to/file/1ff09d1313503c65f5f54c6f808fc373/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part4.rar.html https://rg.to/file/20c7c39ea99db615dc7c33a681befd15/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part5.rar.html https://rg.to/file/32f2706e7e83323fbc36d298e0afe2f2/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part6.rar.html https://rg.to/file/5faf6b2521f2068ddd76716cc647b65e/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part2.rar.html https://rg.to/file/82a98a3f83a4491dace99b04b0b9865f/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part1.rar.html https://rg.to/file/ea45b91a91400d3fed23b053863a10b7/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part3.rar.html Fikper Free Download https://fikper.com/Aa6hozParu/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part3.rar.html https://fikper.com/Fhc4yYN8lr/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part6.rar.html https://fikper.com/Oaxe8pWbl2/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part2.rar.html https://fikper.com/aNzAVa8hXN/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part4.rar.html https://fikper.com/tgjKN7glN8/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part5.rar.html https://fikper.com/xsxXpyYS5x/tndxa.Projects.in.React.Native.Learn.By.Building.Real.World.Apps.2024.part1.rar.html No Password - Links are Interchangeable

Free Download Ms Projects From Basics To Advanced Project Planning Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.99 GB | Duration: 3h 14m Learn to efficiently manage projects with Microsoft Project, mastering task entries, resource allocation. What you'll learn Introduction to MS Projects: Overview of the software and its uses in project management. Basics of MS Projects: Understanding task entries, summary tasks, and duration. Task Management: How to interlink activities and assign resources to tasks. Project Tracking: Techniques to monitor project progress effectively. Reports and Documentation: Creating, customizing, and printing reports. Data Entry and Scheduling: Working with Gantt charts, creating new project plans, and managing both auto and manual scheduling. Practical Examples: Application of project management principles through real-world examples like furniture projects and conference planning. Requirements Basic Computer Skills: Familiarity with navigating and using computer software. Understanding of Project Management Concepts: Basic knowledge of project management terms and workflows (e.g., tasks, resources, timelines) is beneficial but not mandatory. Access to MS Project Software: Students should have Microsoft Project installed on their computer to practice and follow along with the lessons. Description The Mastering MS Projects course is designed to help you become proficient in managing projects using Microsoft Project. Whether you're new to project management or looking to refine your skills, this course covers everything from the basics of task entries to advanced project tracking and reporting. You will gain hands-on experience in using MS Project's powerful features to streamline project execution and ensure success.Section 1: IntroductionIn this section, you will be introduced to Microsoft Projects (MS Projects) and understand why it is an essential tool for project managers. The first lecture provides an overview of MS Projects, setting the stage for a deeper exploration of its functionalities.Section 2: Basic MS ProjectsThis section delves into the basics of MS Projects. You will start by learning how to create task entries and manage summary tasks. The lectures also cover key concepts such as project duration, interlinking activities, and assigning resources to tasks. By the end of this section, you'll have a solid understanding of how to structure your project in MS Projects, track its progress, and generate reports.Section 3: Data Entry in MS ProjectsBuilding on the foundational knowledge, this section focuses on practical data entry techniques within MS Projects. You will learn how to work with Gantt charts, create new project plans, and switch between manual and auto scheduling modes. Real-world examples, such as managing furniture work and conference projects, will help you apply what you've learned in practical scenarios. Additionally, you will explore how to adjust working tables and utilize notes to enhance project management.Conclusion:By the end of this course, you will have gained comprehensive knowledge and practical skills in using MS Projects to manage complex tasks, assign resources effectively, track progress, and produce detailed project reports. Whether you're managing small or large-scale projects, the skills acquired in this course will help you optimize project performance and ensure timely completion. Overview Section 1: Introduction Lecture 1 Introduction to MS Projects Section 2: Basic M S Projects Lecture 2 Basics in MS Projects Lecture 3 Basics in MS Projects Continue Lecture 4 Task Entries Lecture 5 Summary Task Lecture 6 Duration Lecture 7 Interlink Activities Lecture 8 Assign Resource Lecture 9 Assign Resource Continue Lecture 10 Resource Assigned to Task Lecture 11 Project Tracking Lecture 12 Reports and Print Out Lecture 13 Reports and Print Out Continue Section 3: Data Entry in MS Projects Lecture 14 Working on MS Project Software Lecture 15 Use to Gannt Chat Lecture 16 Create New Project Plan Lecture 17 Changing Working Table Lecture 18 Manually Schedule Lecture 19 Note Section Lecture 20 Example of Furniture Work Lecture 21 Auto Schedule Lecture 22 Conference Project Project Managers: Professionals looking to streamline project planning, tracking, and reporting.,Team Leaders: Those responsible for assigning tasks and managing resources within projects.,Business Analysts: Individuals who need to monitor project progress and generate reports.,Students of Project Management: Anyone studying project management who wants hands-on experience with MS Project software.,Beginners to MS Project: People with little or no experience with MS Project, looking to gain foundational skills.,IT Professionals: Those involved in managing or supporting projects within a technical environment. 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Free Download Mastering Canva Through Real Projects From Beginner to Pro Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 55m | Size: 1.11 GB Turn Creativity into Cash! What you'll learn Introduction and Getting Started of Canva Logo Design for Businesses Thumbnails Design Course Banner Design Book Cover Design and Mockups News Card design T-shirt design Business Card Design CV/Resume Design Creating Professional Presentations Using Canva for Video Editing Requirements No prior experience needed. You can start this course with Basic Computer Skills. Description Unlock your creative potential with "Mastering Canva Through Real Projects"-a beginner-friendly course designed for anyone who wants to learn graphic design and earn money with their skills. No prior experience is needed! Through hands-on projects, you'll learn how to Logo Design for BusinessesThumbnails DesignCourse Banner DesignBook Cover Design and MockupsNews Card designT-shirt designBusiness Card DesignCV/Resume DesignCreating Professional PresentationsCanva for Video Editingusing Canva's simple yet powerful tools. Whether you're looking to offer freelance design services, create digital products to sell, or start a side hustle, this course will guide you from start to finish. By the end of this course, you'll have a strong foundation in graphic design and the confidence to offer your services on platforms like Fiverr and Upwork, sell digital products on Etsy or Creative Market, or create branded assets for your own business. Whether you're an aspiring freelancer, small business owner, or someone simply looking to boost their creativity, this course will provide you with all the tools and practical projects needed to succeed.Enroll now and take your first step towards mastering Canva and turning your creativity into a profitable career!See You in the class. Who this course is for This course is for those who want to learn graphic design and start earning money with their skills. Homepage https://www.udemy.com/course/mastering-canva-through-real-projects-from-beginner-to-pro/ Screenshot Rapidgator https://rg.to/file/635ed626e4eba4ec4ad3f36d5060d907/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part1.rar.html https://rg.to/file/a714f9e0bdc7472842fccb5c4e2b40ae/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part2.rar.html Fikper Free Download https://fikper.com/fTkngs9NRq/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part1.rar.html https://fikper.com/oiLoZA83rt/mcote.Mastering.Canva.Through.Real.Projects.From.Beginner.to.Pro.part2.rar.html No Password - Links are Interchangeable

Free Download MQL5 PROJECTS - Code A Candlestick Patterns Trading Strategy Published 10/2024 Created by Latvian Trading Solutions MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 3h 5m ) | Size: 1.51 GB A concise guide in developing a candlestick patterns strategy using the MQL5 language What you'll learn How to code an algorithm that identifies reversal candlestick patterns How to generate a trading strategy based on pure price action How to employ complex trade management principles to get an edge in the market How to create risk management protocols for a complex EA Requirements MQL5 basics Description In the financial markets, every tick of price movement weaves a new narrative. A beautiful story entailing the actions of all market parti[beeep]nts. Their ambitions, their desires, their fears and their greed. This story is known as Price action. It's written for all traders to see, but only a few are willing to read and understand it. Price action is the language spoken by the market, a symphony of supply and demand that unfolds in real time. Candlesticks, in essence, are merely visual representations of this underlying price action. By studying the interplay of buyers and sellers as reflected in the candlesticks, traders can discern patterns and make informed decisions.Candlesticks are the footsteps left behind by market parti[beeep]nts. Each candlestick tells a story, revealing the emotions, strategies, and intentions of those involved. A long green candlestick, for example, suggests that buyers were more aggressive than sellers, while a short red candle indicates the opposite. By studying the patterns formed by these footsteps, traders can gain a deeper understanding of market psychology and anti[beeep]te potential turning points.Reversal candlesticks possess a unique power to capture the essence of market turning points. When a reversal candlestick appears at a significant support or resistance level, it can signal a potential shift in market momentum. Candlestick patterns may not be sufficient to initiate a trade, but when it aligns with other supporting factors, it can provide a high-probability setup.In this course, our aim is to build an expert advisor that identifies candlestick patterns and takes trades based on them using the MQL5 language. We shall use unique and complex trade management principles to ensure that we reduce risk increase profitability. For those that are still finding their way with MQL5, as long as you understand the basics of MQL5, this course is for you. We will patiently guide you through every step of the strategy development process and walk you through every line of code we shall craft. Hopefully, by the end of the course, you will have gained the necessary skills to code similar trading strategies and be able to appreciate how candlestick patterns can be an asset in developing your own trading ideas based on the ideas that shared in this course.So hit hard on that enroll button now and join me in this incredible journey of coding a candlestick pattern based expert advisor using the mql5 algorithmic trading language. Who this course is for Anyone willing to learn how to code a candlestick patterns strategy based on the MQL5 language Homepage https://www.udemy.com/course/mql5-projects-code-a-candlestick-patterns-trading-strategy/ Screenshot Rapidgator https://rg.to/file/12a9b0923584ed7f560f51df8fdc0599/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part1.rar.html https://rg.to/file/ddec7506c64a676d35677e16870faee5/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part2.rar.html Fikper Free Download https://fikper.com/c8vGnY1UK8/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part1.rar.html https://fikper.com/cfWZ7r68Qn/yauhh.MQL5.PROJECTS.Code.A.Candlestick.Patterns.Trading.Strategy.part2.rar.html No Password - Links are Interchangeable

Free Download Complete Mlops Bootcamp With 10+ End To End Ml Projects Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 50.09 GB | Duration: 47h 39m End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects What you'll learn Build scalable MLOps pipelines with Git, Docker, and CI/CD integration. Implement MLFlow and DVC for model versioning and experiment tracking. Deploy end-to-end ML models with AWS SageMaker and Huggingface. Automate ETL pipelines and ML workflows using Apache Airflow and Astro. Monitor ML systems using Grafana and PostgreSQL for real-time insights. Requirements Basic understanding of Python programming. Familiarity with machine learning concepts and algorithms. Basic knowledge of Git and GitHub for version control. Understanding of Docker for containerization (optional but helpful). Awareness of cloud computing concepts (AWS preferred, but not mandatory). Description Welcome to the Complete MLOps Bootcamp With End to End Data Science Project, your one-stop guide to mastering MLOps from scratch! This course is designed to equip you with the skills and knowledge necessary to implement and automate the deployment, monitoring, and scaling of machine learning models using the latest MLOps tools and frameworks.In today's world, simply building machine learning models is not enough. To succeed as a data scientist, machine learning engineer, or DevOps professional, you need to understand how to take your models from development to production while ensuring scalability, reliability, and continuous monitoring. This is where MLOps (Machine Learning Operations) comes into play, combining the best practices of DevOps and ML model lifecycle management.This bootcamp will not only introduce you to the concepts of MLOps but will take you through real-world, hands-on data science projects. By the end of the course, you will be able to confidently build, deploy, and manage machine learning pipelines in production environments.What You'll Learn:Python Prerequisites: Brush up on essential Python programming skills needed for building data science and MLOps pipelines.Version Control with Git & GitHub: Understand how to manage code and collaborate on machine learning projects using Git and GitHub.Docker & Containerization: Learn the fundamentals of Docker and how to containerize your ML models for easy and scalable deployment.MLflow for Experiment Tracking: Master the use of MLFlow to track experiments, manage models, and seamlessly integrate with AWS Cloud for model management and deployment.DVC for Data Versioning: Learn Data Version Control (DVC) to manage datasets, models, and versioning efficiently, ensuring reproducibility in your ML pipelines.DagsHub for Collaborative MLOps: Utilize DagsHub for integrated tracking of your code, data, and ML experiments using Git and DVC.Apache Airflow with Astro: Automate and orchestrate your ML workflows using Airflow with Astronomer, ensuring your pipelines run seamlessly.CI/CD Pipeline with GitHub Actions: Implement a continuous integration/continuous deployment (CI/CD) pipeline to automate testing, model deployment, and updates.ETL Pipeline Implementation: Build and deploy complete ETL (Extract, Transform, Load) pipelines using Apache Airflow, integrating data sources for machine learning models.End-to-End Machine Learning Project: Walk through a full ML project from data collection to deployment, ensuring you understand how to apply MLOps in practice.End-to-End NLP Project with Huggingface: Work on a real-world NLP project, learning how to deploy and monitor transformer models using Huggingface tools.AWS SageMaker for ML Deployment: Learn how to deploy, scale, and monitor your models on AWS SageMaker, integrating seamlessly with other AWS services.Gen AI with AWS Cloud: Explore Generative AI techniques and learn how to deploy these models using AWS cloud infrastructure.Monitoring with Grafana & PostgreSQL: Monitor the performance of your models and pipelines using Grafana dashboards connected to PostgreSQL for real-time insights.Who is this Course For?Data Scientists and Machine Learning Engineers aiming to scale their ML models and automate deployments.DevOps professionals looking to integrate machine learning pipelines into production environments.Software Engineers transitioning into the MLOps domain.IT professionals interested in end-to-end deployment of machine learning models with real-world data science projects.Why Enroll?By enrolling in this course, you will gain hands-on experience with cutting-edge tools and techniques used in the industry today. Whether you're a data science professional or a beginner looking to expand your skill set, this course will guide you through real-world projects, ensuring you gain the practical knowledge needed to implement MLOps workflows successfully.Enroll now and take your data science skills to the next level with MLOps! Overview Section 1: Introduction Lecture 1 Introduction Section 2: IDE's And Code Editors You Can Use Lecture 2 Getting Started With Google Colab Lecture 3 Getting Started With Github Codespace Lecture 4 Anaconda And VS Code Installation Section 3: Python Prerequisites Lecture 5 Getting Started With VS Code And Environment Lecture 6 Python Basics-Syntax and Semantics Lecture 7 Variables In Python Lecture 8 Basics Data Types Lecture 9 Operators In Python Lecture 10 Conditional Statements In Python Lecture 11 Loops In Python Lecture 12 Practical Examples Of List Lecture 13 Sets In Python Lecture 14 Tuples In Python Lecture 15 Dictionaries In Python Lecture 16 Functions In Python Lecture 17 Python Function Examples Lecture 18 Lambda Functions In Python Lecture 19 Map functions In Python Lecture 20 Python Filter Function Lecture 21 Import Modules And Packages In Python Lecture 22 Standard Library Overview Lecture 23 File Operation In Python Lecture 24 Working With File Paths Lecture 25 Exception Handling In Python Lecture 26 OOPS In Python Lecture 27 Inheritance In Python Lecture 28 Polymorphism In Python Lecture 29 Encapsulation In Python Lecture 30 Abstraction In Python Lecture 31 Magic Methods In Python Lecture 32 Custom Exception In Python Lecture 33 Operator OverLoading In Python Lecture 34 Iterators In Python Lecture 35 Generators In Python Lecture 36 Decorators In Python Lecture 37 Working With Numpy In Python Lecture 38 Pandas DataFrame And Series Lecture 39 Data Manipulation And Analysis Lecture 40 Data Source Reading Lecture 41 Logging In Python Lecture 42 Logging With Multiple Loggers Lecture 43 Logging In a Real World Examples Section 4: Complete Flask Tutorial Lecture 44 Introduction To Flask Framework Lecture 45 Understanding A Sample Flask Application Lecture 46 Integrating HTML With Flask Framework Lecture 47 HTTP Verbs Get And Post Lecture 48 Building Dynamic Url With Jinja 2 Lecture 49 Put Delete And API's In Flask Section 5: Git and Github Lecture 50 Getting Started With Git And Github Lecture 51 Part 2- Git Merge,Push, Checkout And Log With Commands Lecture 52 Part 3- Resolving Git Branch Merge Conflict Section 6: Complete MLFLOW Tutorials Lecture 53 Introduction To MLFLOW Lecture 54 Getting Started With MLFLOW Lecture 55 Creating MLFLOW Environment Lecture 56 Getting Started With MLFLow Tracking Server Lecture 57 Deep Diving Into MLFlow Experiments Lecture 58 Getting Started With MLFlow ML Project Lecture 59 First ML Project With MLFLOW Lecture 60 Inferencing Model Artifacts With MLFlow Inferencing Lecture 61 MLFLOW Model Registry Tracking Section 7: ML Project Integration With MLFLOW Tracking Lecture 62 Data Preparation House Price Prediction Lecture 63 Model Building And MLFLOW Tracking Section 8: Deep Learning ANN Model Building Integration With MLFLOW Lecture 64 ANN With MLFLOW- Part 1 Lecture 65 ANN with MLFLOW-Part 2 Section 9: Getting Started With DVC- Data Version Control Lecture 66 Introduction To DVC With Practical Implementation Section 10: Getting Started With Dagshub Lecture 67 Introduction To Dagshub Remote Repository Lecture 68 Creating First Remote Repo Using Dagshub Lecture 69 DVC With Dagshub Remote Repository Section 11: End To End Machine Learning Pipeline Using GIT, DVC,MLFLOW And DAGSHUB Lecture 70 Getting Started With Project Structure Lecture 71 Implemeting Data Preprocessing Pipeline Lecture 72 Implementing Model Training Pipeline with MLFLOW Setup Lecture 73 MLFLOW Experiment Tracking In Dagshub Lecture 74 ML Evaluation Piepline With MLFLOW Lecture 75 Run The Complete Pipeline With DVC Stage And Repro Section 12: MLFLOW With AWS Cloud Lecture 76 Introduction To MLFLOW In AWS Lecture 77 MLFLOW Project Set Up With Installation Lecture 78 Implementing The End To End Project With MLFLOW Lecture 79 AWS Cloud EC2,IAM,S3 Bucket Set Up Lecture 80 AWS EC2 Instance- Setting MLFLOW Tracking Server Section 13: Complete Basic To Advance Dockers Lecture 81 Introduction To Docker Series Lecture 82 What are Dockers And Containers Lecture 83 Docker Images vs Containers Lecture 84 Dockers vs Virtual Machines Lecture 85 Dockers Installation Lecture 86 Creating A Docker Image Lecture 87 Docker Basic Commands Lecture 88 Push Docker Image To Docker Hub Lecture 89 Docker Compose Section 14: Getting Started With Airflow Lecture 90 Introduction To Apache Airflow Lecture 91 Key Components Of Apache Airflow Lecture 92 Why Airflow For MLOPS Lecture 93 Setting Up Airflow With Astro Lecture 94 Building Your First DAG With Airflow Lecture 95 Designing Mathematical Calculation DAG With Airflow Lecture 96 Getting Started With TaskFlow API Using Apache Airflow Section 15: Airflow ETL Pipeline with Postgres and API Integration In ASTRO Cloud And AWS Lecture 97 Introduction To ETL Pipeline Lecture 98 ETL Problem Statement And Project Structure Set Up Lecture 99 Defining ETL DAG With Implementing Steps Lecture 100 Step 1- Setting Up Postgres And Creating Table Task In Postgres Lecture 101 Step 2- NASA API Integration With Extract Pipeline Lecture 102 Step 3- Building Transformation And Load Pipeline Lecture 103 ETL Pipeline Final Implementation With AirFlow Connection Set Up Lecture 104 ETL Pipeline Deployment In Astro Cloud And AWS Section 16: Introduction To Github Actions Lecture 105 What is Github Action and CI CD Pipeline Lecture 106 What is Developers Workflow With Examples Lecture 107 Practicals-Automate Testing Workflow With Python Section 17: End To End Github Action Workflow Project With Dockerhub Lecture 108 Github Action Workflow Project with Docker hub Lecture 109 Setting Project Structure With Github Repo Lecture 110 Setting Up Github Repository Lecture 111 Implementing Project With Flask And Dockers Lecture 112 Building the Yaml file for Dockers Section 18: Getting Started With Your First End To End Data Science Project With Deployment Lecture 113 Project Structure, Github Repo And Environment Set Up Lecture 114 Custom Logging Implementation Lecture 115 Common Utilities Functions Implementation Lecture 116 Step By Step Building Data Ingestion Pipeline- Part 1 Lecture 117 Data Ingestion Pipeline-Part 2 Lecture 118 Complete Data Validation Pipeline Implementation Lecture 119 Complete Data Transformation Pipeline Implementation Lecture 120 Model Trainer Pipeline Implementation Lecture 121 Model Evaluation Pipeline Implementation Lecture 122 Training And Prediction Pipeline With Flask App Section 19: End To End MLOPS Projects With ETL Pipelines- Building Network Security System Lecture 123 Project Structure Set up With Environment Lecture 124 Github Repository Set Up With VS Code Lecture 125 Packaging the Project With Setup.py Lecture 126 Logging And Exception Handling Implementation Lecture 127 Introduction To ETL Pipelines Lecture 128 Setting Up MongoDb Atlas Lecture 129 ETL Pipeline Setup With Python Lecture 130 Data Ingestion Architecture Lecture 131 Implementing Data Ingestion Configuration Lecture 132 Implementing Data Ingestions Component Lecture 133 Implementing Data Validation-Part 1 Lecture 134 Implementing Data Validation- Part 2 Lecture 135 Data Transformation Architecture Lecture 136 Data Transformation Implementation Lecture 137 Model Trainer-Part 1 Lecture 138 Model Trainer And Evaluation With Hyperparameter Tuning Lecture 139 Model Experiment Tracker With MLFlow Lecture 140 MLFLOW Experiment Tracking With Remote Respository Dagshub Lecture 141 Model Pusher Implementation Lecture 142 Model Training Pipeline Implementation Lecture 143 Batch Prediction Pipeline Implementation Lecture 144 Final Model And Artifacts Pusher To AWS S3 buckets Lecture 145 Building Docker Image And Github Actions Lecture 146 Github Action-Docker Image Push to AWS ECR Repo Implementation Lecture 147 Final Deployment To EC2 instance Section 20: End To End DS Project Implementation With Mulitple AWS,Azure Deployment Lecture 148 Github And Code Setup Lecture 149 Project structure Logging And Exception Lecture 150 Project Problem Statement EDA And Model Training Lecture 151 Data Ingestion Implementation Lecture 152 Data Transformation Implementation Lecture 153 Model Trainer Implementation Lecture 154 Hyperparameter Tuning Implementation Lecture 155 Building Prediction Pipeline Lecture 156 Deployment AWS Beanstalk Lecture 157 Deployment In EC2 Instance Lecture 158 Deployment In Azure Web App Section 21: Build, Train ,Deploy And Create Endpoints For ML Project Using AWS Sagemaker Lecture 159 Introduction To AWS Sagemaker Amd Project Set up Lecture 160 EDA,AWS IAM, S3 Set up With Data Ingestion Lecture 161 Implementing Training Script For AWS Sagemaker Lecture 162 Training With An On Spot Instance In AWS Sagemaker Lecture 163 Deployment Of Endpoint With AWS Sagemaker And Inferencing Section 22: Grafana-Open Source Tool For Data Visualization And Monitoring Lecture 164 Introduction To Grafana Open Source Tool Lecture 165 Grafana Cloud Set Up And Problem Statement Lecture 166 Visualization Implementation With Grafana Cloud And Postgresql In AWS Section 23: Generative AI Series With AWS LLMOPS Lecture 167 LifeCycle Of Gen AI Projects In Cloud Lecture 168 Blog Generation Generative AI App Using AWS Lambda And Bedrock Lecture 169 Deployment Of HuggingFace LLM Model In AWS Sagemaker Lecture 170 End To End GENAI App Using NVIDIA NIM Data Scientists and Machine Learning Engineers looking to scale and deploy ML models.,DevOps professionals wanting to integrate ML pipelines.,Software Engineers interested in transitioning to MLOps.,Beginners with basic ML knowledge aiming to learn end-to-end deployment.,IT professionals eager to understand MLOps tools and practices for real-world projects. 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Free Download Build 5 Python Web Scraping Projects Beginner to Advanced Published 10/2024 Created by Emmanuel Momoh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 19m ) | Size: 2.24 GB Build 5 Web Scraping Projects with Python: Beginner to Advanced , BeautifulSoup, Scrapy, Selenium, API integration What you'll learn Learn how to scrape data from websites using Python libraries like BeautifulSoup and Playwright for static and dynamic content How to log in to a website using Playwright and scrape its content. Gain hands-on experience by creating five real-world web scraping projects, including price trackers, job scrapers, and data aggregators. Learn how to host scrapers and set up cron jobs to run automatically in the cloud. Requirements You should have basic Python knowledge, including using loops, conditional statements, and operators. Familiarity with data structures like lists, dictionaries, sets, and tuples is also required. Description In this course, "Build 5 Web Scraping Projects with Python: From Beginner to Advanced," you'll gain comprehensive knowledge on how to efficiently extract data from websites using Python. Whether you're just starting out or already have some experience with web scraping, this course is designed to enhance your skills through practical, hands-on projects. We will use powerful libraries like BeautifulSoup for parsing HTML, Requests for handling HTTP requests, and Playwright for interacting with dynamic, JavaScript-rendered content.Throughout the course, you'll discover how to build custom web scraping bots from scratch, learning how to handle everything from scraping static pages to more complex tasks like logging into websites to extract protected data. Additionally, you'll explore how to automate your scraping tasks by scheduling them using cron jobs, allowing you to run your scripts at regular intervals on the cloud for free.Each project is designed to simulate real-world scenarios, helping you apply your new skills immediately. By the end of the course, you'll be proficient in scraping both static and dynamic content, automating data extraction, and deploying your projects to the cloud. Whether you want to scrape product data, job listings, or social media information, this course will equip you with the tools and knowledge you need to succeed. Who this course is for This course is perfect for Python enthusiasts eager to dive into web scraping and build real-world bots. Whether you're new to web scraping and looking to expand your skill set or an experienced developer aiming to enhance your scraping capabilities, this course offers the practical knowledge and hands-on experience needed to master the field. It's ideal for freelancers, software testers, and anyone interested in performing web scraping tasks efficiently. Homepage https://www.udemy.com/course/build-5-python-web-scraping-projects-beginner-to-advanced/ Screenshot TakeFile https://takefile.link/31s4d0qqgbkk/hyonl.Projects.Beginner.to.Advanced.rar.html https://takefile.link/zudzt78kc56s/hyonl.Python..Beginner.to.Advanced.rar.html Rapidgator https://rg.to/file/1dc38f6c789c4226fb17ab7a33c50fae/hyonl.Projects.Beginner.to.Advanced.rar.html https://rg.to/file/72ae5f393c663b2bb7f5e3d32404c375/hyonl.Python..Beginner.to.Advanced.rar.html Fikper Free Download https://fikper.com/GpVhKvUrNy/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part1.rar.html https://fikper.com/MRypTQ5fNR/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part2.rar.html https://fikper.com/N0DtGENvKW/hyonl.Projects.Beginner.to.Advanced.rar.html https://fikper.com/NKjMb9KYcN/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part3.rar.html https://fikper.com/OuTmMXYvt8/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part3.rar.html https://fikper.com/S43VgRGB0m/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part2.rar.html https://fikper.com/WxjUL6Jnpg/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part1.rar.html https://fikper.com/jGVgJe4eVk/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part2.rar.html https://fikper.com/vwwm7Yzuwy/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part3.rar.html https://fikper.com/xpjx7uMhuk/hyonl.Build.5.Python.Web.Scraping.Projects.Beginner.to.Advanced.part1.rar.html https://fikper.com/z4M2XtGWlc/hyonl.Python..Beginner.to.Advanced.rar.html No Password - Links are Interchangeable

Free Download 8 hours of advanced C projects Cyber Security Published 10/2024 Created by dr Jonas Birch, C programming ninja MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 13 Lectures ( 8h 0m ) | Size: 4.14 GB Write Tor clients, encryption libraries and safestring libraries. You will also learn Linux filesystem Security in depth What you'll learn Learn to write your own Cyber Security tools Learn to write tools which utilise network connections. Improve your knowledge in advanced C concepts like pointers and structs etc. Learn about encryption, the Tor network, to write unhackable code and so on. Learn about Linux filesystem security Requirements This course is at intermediate-advanced level so you should have knowledge about the beginner stuff at least. Description 8 hours of advanced C projects: Cyber SecurityThis is an 8 hour composite course (divided in 13 different 40min videos) containing my best content with regards to Cyber Security. You will get an in-depth knowledge in writing encryption tools, connecting to the Tor privacy network, and how to write safe, un-hackable C code by making a safe string library.When doing all of this practically, I will explain all the necessary theory while we're coding. So there are no dense sections of heavy theory but you will still learn everything you need in order to fully understand the things we are building. While on this journey, you will also improve your knowledge of some of the more advanced features of the C language. Like how dynamic memory works, how you deal with linked lists, everything about advanced pointers, operating system functions (syscalls) as well as some binary bitwise operations, etc.You will also learn the basics of Linux file system security and a whole lot more. And, as always, in 1080p resolution. Enjoy!Best regards,JBFree previewDo not miss out of the free preview. You can watch the entire first episode (40min!) for free. That contains the most part of one of my best C projects, the Toralizer. It is a command-line tool which lets you redirect any other Linux command through the Tor network.Example:bash--description--nbsp;toralize curlhttp://website-urlThis will connect to the Tor privacy network and access the website. This works with any Linux command and we will code this tool from scratch to the finish line, in this course.PrerequisitesThis is not a beginner course in the C language (I have courses like that too). This is for people who already knows the basics of C and wants to take the next step to intermediate-advanced level knowledge of the C language.This course is also for C coders who wish to know more about Cyber Security.The authordr. Jonas Birch has been programming the C language for more than 25 years and he's been teaching for the last 7-8 years. He has a background in the Cyber Security industry and he's a Senior network engineer. His videos are very popular (some are the highest rated courses on Udemy, in its category) and he's got a very soothing voice which is easy for the ears.Table of Contents00:00:00 Toralizer part 101:27:29 Xor encryption01:39:09 Coding a real encryption library04:05:41 How to install your own C library04:15:13 Learn Linux file system security04:44:51 Coding a file encryptor, part 105:37:21 Coding a file encryptor, part 206:05:00 Write unhackable code (safe string lib)07:19:47 Toralizer part 2 Who this course is for C programmers interested in Cyber Security and who wants to do more advanced projects. Homepage https://www.udemy.com/course/cybersecurity-c-projects/ Screenshot Rapidgator https://rg.to/file/04cd0ae45005e7b920d6f69a94e91aab/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part1.rar.html https://rg.to/file/4b4910a60f0698a5b4de9540f34d95ba/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part3.rar.html https://rg.to/file/992a55538b937537df37eca9bd1f3c73/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part5.rar.html https://rg.to/file/c448ba5bebd1701ad74acdb6d6fb22c9/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part2.rar.html https://rg.to/file/d98b48e9e948b012a57526b5d0ec4785/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part4.rar.html Fikper Free Download https://fikper.com/8Hl3GJuSAq/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part1.rar.html https://fikper.com/O4rPjGs6a4/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part3.rar.html https://fikper.com/RBWsZIF3Ci/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part2.rar.html https://fikper.com/TOZRz9cEff/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part5.rar.html https://fikper.com/fXEFeAW5UY/csypo.8.hours.of.advanced.C.projects.Cyber.Security.part4.rar.html No Password - Links are Interchangeable

Free Download 45 Real World Java Development Projects Bootcamp Course 2024 Last updated 4/2024 Created by Engineering Org In MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 398 Lectures ( 75h 44m ) | Size: 23.4 GB Java Programming Course: Learn Development Of JAVA Projects Using JSP,JDBC, Servlets, Swing, Spring Boot,Maven,Hibernate What you'll learn Gain in-depth understanding of core & advanced features of Java Master design principles, best practices and coding conventions for writing well-designed, professional Java code Get real-world experience by developing an Java based Web application using technologies like JSP, Servlets Master Object-Oriented Programming concepts by using a real-world application as a case study Requirements Knowledge Of JAVA Description What is Java?Java is a cross-platform object-oriented programming language that was released by Sun Microsystems in the year 1995 . Today, Java is needed to run various applications such as games, social media applications, audio and video applications, etc .What is Java used for?Before I go ahead with this, let me brief you about why you should choose Java . It is highly popular and has dominated this field from early 2000's till the present 2022 .Some of the applications are listed below:· Banking: To deal with transaction management .· Retail: Billing applications that you see in a store/restaurant are completely written in Java .· Information Technology: Java is designed to solve implementation dependencies .· Android: Applications are either written in Java or use Java API .· Financial services: It is used in server-side applications .· Stock market: To write algorithms as to which company they should invest in .· Big Data: Hadoop MapReduce framework is written using Java .· Scientific and Research Community: To deal with huge amount of data .In This Course We Are Going To Work On 45 Java Projects:Project-1 : Electricity Billing System - Java Core, Swing, JDBC, MySQLProject-2 : Hotel Management System - Java Core, Swing, JDBC, MySQLProject-3 : Airlines Management System - Java Core, Swing, JDBC, MySQLProject-4 : University Management System - Java Core, Swing, JDBC, MySQLProject-5 : Travel and Tourism Management System - Java Core, Swing, JDBC, MySQLProject-6 : Store Billing System - Java Core, Swing, JDBC, MySQLProject-7 : Bank Management System - Java Core, Swing, JDBC, MySQLProject-8 : Application World - Java Core, Swing, AWTProject-9 : Payroll System - Java Core, Swing, JDBC, MySQLProject-10 : Cab Booking System - Java Core, Swing, JDBC, MySQLProject-11 : Simple Playlist Application In java - Java SE & OOPSProject-12 : Simple Web Browser Application - Java SE, Maven & OpenJFXProject-13 : Pentominoes Game In java - Java SE, Swing APIProject-14 : Number Puzzle Game In Java - Java SE, Swing APIProject-15 : Currency Converter API - Java SE, Maven, SwingProject-16 : Bridge game in Java - Java SE, Swing & Java AWTProject-17 : Rock Scissor Paper Game in java - Java SE, Maven, SwingProject-18 : Dungeon: The Adventure Game In Java - Java SE & OOPSProject-19 : Minesweeper Game in Java - Java SE, Swing APIProject-20 : Sokoban: A video puzzle game in Java - Java SE, Swing APIProject-21 : Create a School Payment Management System in JAVA-Core javaProject-22 : Build Your Own Notepad Clone using JAVA-Core javaProject-23 : Create a Game of Feeding the Snake using JAVA GUI-Core JAVA, JAVA Swing, JAVA AWTProject-24 : Create a Music Playlist Library using JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-25 : Create an Interesting Game of Noughts and Crosses in JAVA-Core javaProject-26 : Create a Food Ordering System in JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-27 : Create a Download Manager in JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-28 : Create an ATM Machine Interface using JAVA-Core javaProject-29 : Create A Contact Repository Interface Using JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-30 : Build A Painting Canvas Tool Using JAVA Swing-Core javaProject-31 : Build An Interactive BST Visualizer Application In JAVA-Core JAVA, JAVA Swing, JAVA AWTProject-32 : Build A File Browser Interface Using JAVA Swing-Core JAVA, JAVA Swing, JAVA AWTProject-33 : Create A Time And Task Management System In Java -Core javaProject-34 : Email Administration System - Java coreProject-35 : Event Management System - Java servletProject-36 : Online Quiz system - JDBC, JSPProject-37 : E library System - Java servlet, JDBCProject-38 : TCP Chat Application - Java networking, java swingProject-39 : Covid Information Tracker - Java spring boot, jdbcProject-40 : Blog & Report System - Java, JSP, AJAXProject-41 : Email System Web App - Java Servlet, JSPProject-42 : Network Packet Tracer Using Java - Java Swing, MavenProject-43 : Symmetric Encryption Cryptography in JavaProject-44 : Employee Management System - Java, Spring framework, Hibernate, Heroku developmentProject-45 : Breakout Ball Game - Java, OOPs, Java AWT swing Who this course is for Beginners In JAVA Homepage https://www.udemy.com/course/java-programming-project-using-jsp-jdbc-servlets/ Screenshot Rapidgator 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