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Free Download Udemy - Building 7 Apps Using Flutterflow - Hands-On Practical Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.60 GB | Duration: 3h 0m Master FlutterFlow by Developing Real-World Applications from Templates to Full Customization What you'll learn Develop fully functional apps using FlutterFlow's visual interface Customize and adapt templates to match specific business needs Create advanced UI/UX designs for various industries Implement responsive design and improve app usability Master practical skills such as property rental, e-commerce, food delivery, and digital pharmacy app development Deploy interactive elements, quizzes, and social networking features Manage data efficiently across multiple app scenarios Requirements Completion of "Building Your First App in FlutterFlow" course or equivalent foundational knowledge of FlutterFlow. Description Welcome to "Building 7 Practical Apps Using FlutterFlow: Practical Experience," an extensive, hands-on course designed to elevate your app development skills using the powerful FlutterFlow platform. Throughout this comprehensive journey, you'll gain deep, practical insights into building sophisticated mobile applications from scratch, as well as leveraging and customizing existing templates to match real-world business needs.FlutterFlow is an innovative visual development platform that enables rapid creation of mobile and web applications without extensive coding. It provides drag-and-drop functionality, powerful integrations, and robust customization capabilities, making it perfect for entrepreneurs, designers, and developers alike. Whether you're aiming to launch your own mobile apps quickly or wish to offer professional app development services, this course is structured to ensure you achieve these goals.In this course, we meticulously guide you through building seven diverse, fully functional applications covering various industry sectors including real estate, rental management, e-commerce, vacation planning, quizzes and games, food delivery, digital pharmacy, and social networking. By completing these projects, you will have developed a diverse portfolio of applications showcasing your ability to adapt and customize FlutterFlow templates, handle data efficiently, and deliver exceptional user experiences.We begin with "UpHomes," an official FlutterFlow template dedicated to property rentals. You'll explore the intricacies of designing a user-friendly rental platform, including detailed property listings, booking systems, and intuitive management dashboards. This app provides foundational skills such as managing databases, responsive UI design, and enhancing user interactions.Next, we dive into the "Rental Management App UI," where you'll master the art of streamlining car, boat, or equipment rentals. This project emphasizes effective data management, advanced filtering options, and intuitive navigation, allowing users seamless access and management of their rental assets.Our third project, the "E-Commerce Sample Application," focuses on building a responsive marketplace. Here you'll gain proficiency in handling product listings, shopping carts, checkout flows, and transaction processes, setting you up with critical skills required for successful e-commerce app deployments. This practical example demonstrates how to create scalable, user-centric interfaces for online shopping experiences.The fourth application, "Vacay," is a sleek, single-page vacation-planning app designed to introduce you to interactive elements, dynamic content loading, and optimal use of screen real estate. Learn techniques for simplifying complex information, providing users with a compelling, intuitive experience for travel planning."Quiz Template by FlutterFlow," our fifth application, immerses you in game development essentials, showcasing how to create engaging, interactive quizzes. You'll implement advanced features such as leaderboards, level selections, and sound integrations, valuable for educational apps or entertaining trivia games.Next, the "Food Delivery Prototype (App UI Kit)" project equips you with the skills necessary for developing an appealing and intuitive food delivery application. Featuring more than 25 pre-designed screens, you'll learn the principles of seamless navigation, order management, and real-time user interactions, crucial for applications within the competitive food delivery market.Our sixth application, "Huber Eats: Food Delivery App UI Kit," enhances your design and development skills further, diving deep into sophisticated interfaces tailored specifically for the food delivery industry. With over 60 detailed screens, you'll refine advanced UI/UX techniques to deliver highly polished, market-ready applications that offer extraordinary user satisfaction and operational excellence.Finally, "StackOne - Digital Pharmacy" introduces you to the rapidly growing digital healthcare industry. You'll master the development of secure, user-friendly pharmacy applications, focusing on aspects like prescription management, patient data handling, secure payment gateways, and intuitive user flows. This final project positions you at the forefront of digital health innovation, ready to tap into a growing and highly profitable market.Additionally, the course covers a "Profile Social Network" template, an engaging social networking application showcasing user profiles, social interactions, and dynamic content updates. You'll learn to build robust social features such as profile management, real-time updates, and efficient user authentication.Throughout each project, you'll reinforce critical concepts like responsive design principles, backend integration, database management, and performance optimization. Detailed lectures and interactive exercises ensure that your understanding remains solid and practical. Furthermore, expert guidance ensures you grasp not only the technicalities of FlutterFlow but also strategic considerations essential for creating successful, scalable apps.This course is meticulously crafted for those who have completed the introductory "Building Your First App in FlutterFlow" course or possess equivalent foundational FlutterFlow knowledge. It is ideal for mobile developers aspiring to elevate their practical skills, entrepreneurs seeking fast app deployment, UI/UX designers translating their visions into functional products, and developers who prefer hands-on learning through real-world applications.Enroll today to transform your app development skills with FlutterFlow, accelerate your career opportunities, and build a robust portfolio showcasing your capabilities across multiple industries. By the course's end, you'll confidently develop and customize FlutterFlow applications, delivering solutions tailored specifically to market demands and business Requirements.What Will Students Learn:Develop fully functional apps using FlutterFlow's visual interfaceCustomize and adapt templates to match specific business needsCreate advanced UI/UX designs for various industriesImplement responsive design and improve Overview Section 1: Introduction Lecture 1 Course Promo Lecture 2 Introduction Section 2: Building a Real Estate App Lecture 3 App Concept Lecture 4 Connecting Flutter Flow to FireBase Lecture 5 Debugging the App Lecture 6 Testing The App Lecture 7 Adding Content to the App Lecture 8 2.6. Publishing the App Section 3: Rental Management App Lecture 9 App Concept Lecture 10 Connecting Flutter Flow to Firebase Lecture 11 Debugging the App Lecture 12 3.3 Testing the App 1 Lecture 13 3.4 Testing the App 2 Lecture 14 3.5. Publishing The App Section 4: E-Commerce Sample Application Lecture 15 4.1 App Concept Lecture 16 4.2. Connecting FlutterFlow to FireBase Lecture 17 4.3. Debugging THE App Lecture 18 4.4. Testing The App Lecture 19 4.5. Adding Content To the App Lecture 20 4.6. Publishing the App Section 5: Vacation Planning App Lecture 21 5.1. App Concept Lecture 22 5.2. Connecting FlutterFlow to Firebase Lecture 23 5.3. App Debugging Lecture 24 5.4.Testing And Adding Content 1 Lecture 25 5.5. Testing and Adding Content 2 Lecture 26 5.6. Testing and Adding Content 3 Lecture 27 Publishing the App Section 6: Education App : Quiz Template Lecture 28 6.1.AppConcept Lecture 29 6.2.ConnectingFlutterFlowToFireBase Lecture 30 6.3.DebuggingAndTestingTheApp1 Lecture 31 6.4.DebuggingAndTestinbgTheApp2 Lecture 32 6.5.PublishingTheApp Aspiring mobile app developers looking to expand their practical skills,Entrepreneurs interested in quickly developing apps for their business ideas,UI/UX designers aiming to bring their designs to life with FlutterFlow,Developers who want hands-on experience building diverse real-world applications,Anyone interested in mastering FlutterFlow through practical project experience Homepage: https://www.udemy.com/course/building-7-apps-using-flutterflow-hands-on-practical/ [b]AusFile[/b] https://ausfile.com/m137qlxdeh36/avkxa.Building.7.Apps.Using.Flutterflow..HandsOn.Practical.part1.rar.html https://ausfile.com/qhbd3rfl1t2m/avkxa.Building.7.Apps.Using.Flutterflow..HandsOn.Practical.part2.rar.html Rapidgator https://rg.to/file/3a57d1b0cb637ef9034e7fca5fd301e2/avkxa.Building.7.Apps.Using.Flutterflow..HandsOn.Practical.part2.rar.html https://rg.to/file/8a2fd29f073f765cd812538897a1ab36/avkxa.Building.7.Apps.Using.Flutterflow..HandsOn.Practical.part1.rar.html Fikper Free Download https://fikper.com/Aki5a2m3KQ/avkxa.Building.7.Apps.Using.Flutterflow..HandsOn.Practical.part2.rar.html https://fikper.com/IIfzk3jUOD/avkxa.Building.7.Apps.Using.Flutterflow..HandsOn.Practical.part1.rar.html No Password - Links are Interchangeable

Free Download Rust Servers, Services, and Apps, Video Edition by Prabhu E Published: 10/2023 Duration: 8h 10m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1kHz, 2ch | Size: 1.43 GB Genre: eLearning | Language: English In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Deliver fast, reliable, and maintainable applications by building backend servers, services, and frontends all in nothing but Rust. In Rust Servers, Services, and Apps, you'll learn Developing database-backed web services in Rust Building and securing RESTful APIs Writing server-side web applications in Rust Measuring and benchmarking web service performance Packaging and deploying web services Full-stack Rust applications The blazingly fast, safe, and efficient Rust language has been voted "most loved" for multiple consecutive years on the StackOverflow survey. Rust Server, Services, and Apps shows you why! Inside, you'll build web servers, RESTful services, server-rendered apps, and client frontends just using Rust. You'll learn to write code with small and predictable resource footprints, and build high-performing applications with unmatched safety and reliability. About the Technology Build speedy, stable, and safe web servers in Rust! With a unique approach to memory management and concurrency, Rust excels at getting the low-level details right so your applications run fast and flawlessly. And Rust's incredible compiler helps you avoid expensive mistakes when you're deploying web services and other core components in production. About the Book Rust Servers, Services, and Apps shows you how to create modern distributed web apps using the Rust language. You'll start with the basics: building a simple HTTP server and a RESTful web service. Then, you'll make them production ready by adding security, database interactivity, and error handling. Finally, you'll tackle a digital storefront service, create a single page app, and dig into asynchronous programming. All examples are fully illustrated and include annotated code you can easily adapt to your own projects. What's Inside Craft resilient and secure RESTful APIs Package and deploy web services Refactor fearlessly thanks to Rust's guaranteed safety Slash costs with Rust's runtime and compile-time optimizations Asynchronous programming with Rust https://www.oreilly.com/library/view/rust-servers-services/9781617298608VE/ [b]AusFile[/b] https://ausfile.com/94e31pbf09r2/nhbmz.Rust.Servers.Services.and.Apps.Video.Edition.part2.rar.html https://ausfile.com/nknxcqhs690v/nhbmz.Rust.Servers.Services.and.Apps.Video.Edition.part1.rar.html TakeFile https://takefile.link/4fxx0fizxx1z/nhbmz.Rust.Servers.Services.and.Apps.Video.Edition.part1.rar.html https://takefile.link/juzz8qlc48mx/nhbmz.Rust.Servers.Services.and.Apps.Video.Edition.part2.rar.html Rapidgator https://rg.to/folder/8003366/RustServersServicesandAppsVideoEdition.html Fikper Free Download https://fikper.com/619A2lZhaf/nhbmz.Rust.Servers.Services.and.Apps.Video.Edition.part2.rar.html https://fikper.com/nErweHNllV/nhbmz.Rust.Servers.Services.and.Apps.Video.Edition.part1.rar.html No Password - Links are Interchangeable

Free Download LLM Apps - Prototyping, Model Evaluation, and Improvements Published: 3/2025 Created by: Dan Andrei Bucureanu MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 69 Lectures ( 5h 53m ) | Size: 3.25 GB Design, Test, and Benchmark LLM Apps: Fast Prototyping and Smart Evaluation for Optimal Performance What you'll learn Understand the tech landscape of LLM powered APPs When to use GEN AI and when to use Weak AI Setup the tools to integrate AI into your standard APP Get the basics of ai in module Introduction to AI Overview of Machine Learning Types Data Lifecycle - how data evolves with your ML Model Foundation Model lifecycle Fine Tunning of models through data Fine Tunning of models through prompt Fine Tunning of models through hyperparameter Using Huggingface models for work Agentic Frameworks as: Autogen, Browser User, Flowise AI Understand RAG and how to evaluate it Evaluate the LLM With RAGAs benchmarking Framework Understand the Confusion Matrix: accuracy, Recall, F1 score GLUE Benchmarking Framework Retrain and fine tune a computer Vision model Requirements Some AI Experience Experience with Prompting Some coding experience with Python Laptop abele to run VS code and some python apps LLM Api key 7-8 Hours and the will to improve Description Unlock the full potential of Large Language Models (LLMs) by understanding prototyping, model evaluation, and benchmarking. This hands-on course takes you through every stage of LLM development-from building and selecting models to fine-tuning, testing, and benchmarking them with industry-standard tools. Whether you're an AI beginner or a professional looking to enhance your expertise, this course provides the skills needed to create high-performing AI applications.What you'll learn: Set Up Your AI Development EnvironmentLearn how to prepare a powerful AI workspace with Python, VS Code, NPM, and essential AI libraries, ensuring a seamless development experience.Understand AI & Machine Learning BasicsExplore key concepts in AI, Machine Learning, and Deep Learning, including supervised vs. unsupervised learning, model training phases, and how LLMs process and generate responses.Selecting the Right AI Model for Your Use CaseDiscover how to choose the best pre-trained AI models for NLP, vision, and multi-modal applications. Learn when to use classification, clustering, and regression models and understand model complexity, speed, and accuracy trade-offs. Harness the Power of Retrieval-Augmented Generation (RAG)Enhance your AI applications with RAG, a technique that combines retrieval-based search with LLM responses for more accurate and context-aware AI outputs.Leverage the Hugging Face AI CommunityTap into the Hugging Face ecosystem-explore model repositories, learn about tokenizers and transformers, and contribute to the open-source AI movement.Fine-Tune Models for Maximum PerformanceExperiment with temperature settings, top-K and top-P sampling, and hyperparameter tuning to optimize LLM responses and efficiency.Supercharge Your AI with Data-Driven InsightsImprove model accuracy with K-Fold Cross Validation, learn effective data-splitting techniques, and explore overfitting and underfitting detection methods.Benchmark Your AI Models Like a ProCompare your models against industry benchmarks like GLUE and Hugging Face Leaderboards. Learn how to evaluate NLP models using standard metrics and perform real-world GLUE benchmarking with Python.Evaluate Computer Vision AI ModelsGo beyond text-based models! Learn how to benchmark vision-based AI models using CIFAR-10 and interpret test results for advanced model evaluation. Understand Model Evaluation with Confusion MatricesMaster Confusion Matrix analysis to assess classification model performance. Learn how to interpret True Positives, False Positives, False Negatives, and True Negatives to optimize AI predictions and reduce errors.Who Should Take This Course? AI enthusiasts eager to dive into LLM prototyping and evaluation Developers looking to build and refine state-of-the-art AI models Data scientists who want to benchmark AI performance with confidence Anyone interested in understanding AI model evaluation techniques Who this course is for Any Software engineer Developers AI engineers Project Managers Product Owners AI Testing Engineers Homepage: https://www.udemy.com/course/llm-apps-prototyping-model-evaluation-and-improvements/ [b]AusFile[/b] https://ausfile.com/hml8yfi4p2d3/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part1.rar.html https://ausfile.com/0x13rqgc4flt/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part2.rar.html https://ausfile.com/aqmntqz8eayj/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part3.rar.html https://ausfile.com/gipphnwkwy7z/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part4.rar.html Rapidgator https://rg.to/file/4e0c5cd502e4e0ac57ea2fc089926b5a/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part1.rar.html https://rg.to/file/44cfe4b09357cb1968b48fb028aba412/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part2.rar.html https://rg.to/file/4d8a6197462b3dcc048a7c7c82f8da60/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part3.rar.html https://rg.to/file/6518b947c286912d1c03a82619c82298/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part4.rar.html Fikper Free Download https://fikper.com/Se29llobp3/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part1.rar.html https://fikper.com/V2P57xnKBs/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part2.rar.html https://fikper.com/lPpr6xhzec/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part3.rar.html https://fikper.com/THpHrzwRBJ/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part4.rar.html No Password - Links are Interchangeable

Free Download Takeoff - Building Apps with o1 Pro Template System - Part 1 Released 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lessons ( 4h 4m ) | Size: 789 MB Part 1 of a 2 part workshop series. This is the beginner workflow. Part 2 (Feb 24th) will cover an advanced workflow that builds off part 1. Part 1 of a 2 part workshop series. This is the beginner workflow. Part 2 (Feb 24th) will cover an advanced workflow that builds off part 1. Homepage: https://www.jointakeoff.com/courses/o1-pro-template-system Fileaxa https://fileaxa.com/js7ijzfr2gii/bqlaz.Takeoff..Building.Apps.with.o1.Pro.Template.System.Part.1.rar TakeFile https://takefile.link/tjmqo1j79h1o/bqlaz.Takeoff..Building.Apps.with.o1.Pro.Template.System.Part.1.rar.html Rapidgator https://rg.to/folder/7994263/TakeoffBuildingAppswitho1ProTemplateSystemPart1.html Fikper Free Download https://fikper.com/CNbKvxM3uH/bqlaz.Takeoff..Building.Apps.with.o1.Pro.Template.System.Part.1.rar.html No Password - Links are Interchangeable

Free Download Mastering DeepSeek AI - Create AI Powered Apps Easily Published: 3/2025 Created by: Bibhatsu Kuiri MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 32 Lectures ( 3h 30m ) | Size: 1.63 GB Learn how to set up DeepSeek locally, develop AI-powered chatbots, and build practical AI applications What you'll learn Understand the fundamentals of DeepSeek and how it compares to other LLMs like OpenAI and Mistral. Set up DeepSeek locally using Python and Olama for efficient AI app development. Build AI-powered chatbots and applications using Gradio and DeepSeek's API. Develop practical AI tools, such as text summarizers, grammar checkers, sentence rewriters, and OCR apps. Requirements Basic Python knowledge is helpful but not required. The course covers all necessary coding steps. No prior experience with DeepSeek or AI models is needed. This course is designed for beginners. Description Do you want to build AI-powered applications but feel overwhelmed by the complexity of large language models? This course is designed to make it easy and practical for beginners to get started with DeepSeek, a powerful open-source LLM, and integrate it into real-world applications using Python, Olama, and Gradio.In this hands-on course, you will learn everything you need to set up DeepSeek locally, explore its capabilities, and develop AI-powered chatbots and tools without relying on expensive cloud APIs. Whether you're a developer, researcher, student, or AI enthusiast, this course will help you turn AI ideas into functional apps.What you'll learn:Understand the fundamentals of DeepSeek and how it compares to other LLMs like OpenAI's GPT and Mistral.Install and set up DeepSeek locally using Python and Olama, ensuring efficient and cost-effective AI usage.Develop AI chatbots and interactive applications using Gradio, making AI more accessible for users.Create real-world AI tools, including a text summarizer, grammar checker, sentence rewriter, and OCR app.Optimize DeepSeek's performance for fast response times and seamless AI interaction.Deploy AI-powered applications that you can integrate into projects, portfolios, or business ideas.Why Take This Course?Beginner-friendly approach - no prior AI experience needed!Hands-on projects that help you apply what you learn immediately.Learn to run DeepSeek locally, reducing costs and enhancing control over AI models.Step-by-step guidance on setting up AI models and building web-based applications.Learn at your own pace.Projects with source code included for all lessons, including an offline AI-powered email composer, a PDF analyzer, grammar correction, a full-fledged customer care system, and many more.By the end of this course, you will have the confidence to build AI-driven applications from scratch and leverage DeepSeek for various AI-powered tasks. Start your AI journey today and unlock the potential of DeepSeek to create innovative applications!Disclaimer:DeepSeek products and services are jointly owned and operated by Hangzhou DeepSeek Artificial Intelligence Co., Ltd., Beijing DeepSeek Artificial Intelligence Co., Ltd. and their affiliates. This course is independently developed and is not affiliated with, endorsed by, or sponsored by DeepSeek. Who this course is for Beginner developers and AI enthusiasts who want to build AI-powered apps easily. Students and researchers looking to explore DeepSeek's capabilities. Freelancers and entrepreneurs interested in integrating AI models into their projects. Python programmers who want hands-on experience with local LLMs and chatbot development. Homepage: https://www.udemy.com/course/deepseekcourse/ Rapidgator https://rg.to/file/32d8e228c075d3a18d366601c0101f5c/wltvs.Mastering.DeepSeek.AI.Create.AI.Powered.Apps.Easily.part1.rar.html https://rg.to/file/fc146c057a3fedffafd283b0316793d5/wltvs.Mastering.DeepSeek.AI.Create.AI.Powered.Apps.Easily.part2.rar.html Fikper Free Download https://fikper.com/pRVNHSJltV/wltvs.Mastering.DeepSeek.AI.Create.AI.Powered.Apps.Easily.part1.rar.html https://fikper.com/RbQWiRCXLK/wltvs.Mastering.DeepSeek.AI.Create.AI.Powered.Apps.Easily.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Build AI Apps with Qwen 2.5, Deepseek & Ollama Published: 3/2025 Created by: Amrit Ramchandani MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 9m ) | Size: 1.2 GB Build real-world AI-powered applications on your local computer using Qwen 2.5, DeepSeek, and Ollama. What you'll learn Understand what are large language models (LLMS) and how it works Build AI-powered applications using Deepseek, Qwen2.5 and Ollama Setting Up and Running Qwen 2.5 and DeepSeek Locally Using Ollama Create UI Application that Interacts with Large Language Model such as Qwen and Deepseek Use Ollama CLI with Qwen2.5 and Deepseek Basic command-line proficiency (executing scripts, installing packages) Requirements A computer with macOS, Windows, or Linux Internet connection Optional: Python Proficiency for Enhancing Real-World Cases Presented in the Course with Greater Complexity Essential command-line skills (running scripts, managing packages) Description Break Free from the Cloud-Build AI on Your TermsFor years, cloud-based AI has been the go-to solution for developers. The convenience of API-driven models made it easy to integrate AI into applications without worrying about infrastructure. However, this convenience comes with trade-offs-high costs, data privacy concerns, and reliance on third-party providers.As AI adoption grows, more developers are rethinking their approach and turning to self-hosted AI models that run entirely on their local machines. This shift isn't just about reducing cloud expenses-it's about full control, performance, and independence.Why Developers Are Moving to Local AIPerformance Without LatencyCloud AI introduces delays. Each request must travel across the internet, interact with remote servers, and return results. Running AI locally eliminates network lag, making AI-driven applications significantly faster and more responsive. Privacy and Data SecurityMany industries-especially healthcare, finance, and legal sectors-require strict data security. Sending sensitive information to cloud providers raises privacy risks. By running AI models locally, developers keep their data in-house, ensuring compliance with security regulations.Cost EfficiencyCloud-based AI pricing often scales unpredictably. API calls, storage, and processing costs can quickly add up, making long-term AI development expensive. Local AI eliminates recurring fees, allowing developers to work with AI at no extra cost beyond initial hardware investment.Customization and OptimizationCloud AI models come as pre-trained black boxes with limited flexibility. Developers who want fine-tuned AI for specific use cases often hit restrictions. Self-hosted models allow for deeper customization, training, and optimization.Key Tools Powering Local AI DevelopmentTo build AI applications without cloud dependencies, developers are turning to three powerful tools:Qwen 2.5 - A robust language model designed for text generation, automation, and reasoning. Unlike cloud-based AI, it runs entirely on local hardware, giving developers full control over processing and execution.Deepseek - An efficient AI model that applies distillation techniques to reduce computational costs while maintaining high performance. This makes it ideal for developers who need lightweight, high-speed AI without requiring powerful GPUs.Ollama - A streamlined model management tool that simplifies loading, running, and fine-tuning AI models locally, ensuring smooth deployment and integration into projects.Building AI on Your Own TermsWhether you're working on intelligent automation, AI-driven assistants, or advanced text generation, local AI offers unparalleled control and flexibility.Developers who make the shift gain: Full AI Independence - No reliance on cloud APIs or external services. Privacy & Control - All processing happens on local machines, ensuring data security. Hands-on AI Development - Direct interaction with models instead of relying on third-party platforms. Optimization Capabilities - The ability to fine-tune AI models for performance and efficiency. Scalability Without Costs - AI usage no longer depends on pay-per-use pricing models.As the AI landscape evolves, local AI isn't just an alternative-it's the future. By understanding how to deploy, optimize, and build with self-hosted models, developers can break free from cloud restrictions and unlock AI's full potential.Ready to Take AI Into Your Own Hands? Let's Begin! Who this course is for Software engineers looking to develop applications using local LLMs like Qwen and DeepSeek Full-stack developers looking to integrate LLM models into web applications Students and researchers exploring the execution of local AI models Python programmers seeking to integrate AI into their projects AI/ML beginners keen to gain practical experience in AI development Homepage: https://www.udemy.com/course/build-ai-apps-with-qwen-25-deepseek-ollama/ Rapidgator https://rg.to/file/54bf78a34e98fb0309284af41dc5ba48/tzhxw.Build.AI.Apps.with.Qwen.2.5.Deepseek..Ollama.part1.rar.html https://rg.to/file/5539aeedfb71df415da7721a96633c6d/tzhxw.Build.AI.Apps.with.Qwen.2.5.Deepseek..Ollama.part2.rar.html Fikper Free Download https://fikper.com/SGYCImr1cc/tzhxw.Build.AI.Apps.with.Qwen.2.5.Deepseek..Ollama.part1.rar.html https://fikper.com/xUfZxE8EZA/tzhxw.Build.AI.Apps.with.Qwen.2.5.Deepseek..Ollama.part2.rar.html No Password - Links are Interchangeable

Free Download Ai Automation - Build Llm Apps & Ai-Agents With N8N & Apis Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 12.00 GB | Duration: 13h 13m Automate Everything: n8n, LLMs, OpenAI API, Deepseek, Ollama & RAG! Business & Private AI Agents; More than just ChatGPT What you'll learn Fundamentals of Automation, AI Agents & LLMs (ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more) Introduction to automation & key tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise) Understanding and utilizing APIs for automation OpenAI API: Pricing structure, compliant usage & project setup Function calling with LLMs: Using calendars, emails, web search, webhooks, Airtable, Google Sheets & more Everything about vector databases, embedding models & Retrieval-Augmented Generation (RAG) n8n Basics & Automation Applications Basics of n8n: Installation, importing, exporting & selling workflows Automations with Airtable, Google Sheets & Google Cloud Using simple JavaScript variables in automation Expanding AI automation with LLMs: Email automation, sentiment analysis, databases Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation Using external LLM APIs in n8n (Deepseek API, Groq API & more) AI Agents & RAG Chatbots in Workflows Integrating AI agents & RAG chatbots into workflows Automated vector database updates with Google Drive RAG chatbot with AI agent node, embeddings & retrieval techniques AI-powered email agents for automated summaries & responses Prompt engineering: Principles, best practices & avoiding errors Hosting, Social Media & Advanced Automations n8n self-hosting with Render & other options Using AI agents in WhatsApp, Telegram & social media Web scraping & automation with sub-workflows & webhooks Debugging strategies for error-free n8n automation Connecting Flowise AI agents with webhooks & Google Sheets Extending n8n with Flowise & JavaScript custom tools Business & Market Aspects of AI Automation AI automation as a business: Selling automation & AI agents Creating market-ready RAG bots for lead generation & website integration Marketing strategies for successfully selling AI solutions Optimizing RAG chatbots: Chunk size, overlap & data quality LlamaIndex & LlamaParse for data preprocessing in Google Colab Using Firecrawl for web data extraction in Markdown format Security, privacy & ethical concerns: Jailbreaks, prompt injections & data poisoning Copyright & data protection for AI-generated data Legal frameworks: EU AI Act & more Requirements No prior knowledge required, everything is shown step by step. Description AI Automation is the Future!But how does it really work? And how can AI optimize business processes-on a whole new level, far beyond ChatGPT? The answer: AI Agents.This course guides you through both essential and advanced concepts in automation using AI automation, AI agents, LLMs, vector databases, Retrieval-Augmented Generation (RAG), and n8n. You'll learn how to create powerful automations, build intelligent AI agents, and seamlessly integrate them into your workflows to enhance both business and personal projects.Additionally, you'll receive 29 downloadable JSON workflows to accelerate your learning and implementation.What You'll Learn in This Course:Fundamentals of Automation, AI Agents & LLMsDive into the world of AI automation:Introduction to automation, AI agents & essential tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise).Understanding APIs and their role in automation.LLMs explained: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more.OpenAI API: Pricing structure, GDPR-compliant usage & project setup.Function calling with LLMs: How AI agents use tools like calendars, emails, web search, webhooks, Airtable, Google Sheets, and more.RAG (Retrieval-Augmented Generation): Vector databases & embeddings explained.n8n Basics: Installation & First WorkflowsMaster the fundamentals of n8n, the key to intelligent automation:Local installation with Node.js & using the web version without installation.Importing, exporting, and selling workflows.Setting up automations with Airtable, Google Sheets & Google Cloud.Using simple JavaScript variables in automation.Expanding AI Automation with LLMsBuild advanced AI-powered automations:Email automation with OpenAI API, Gmail, and Airtable.Real-time sentiment analysis & database storage.Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation.Using any LLM API in n8n (Deepseek API, Groq API & more).Integrating AI Agents & RAG Chatbots into WorkflowsAutomate customer communication & data processing:RAG Agent: Automatically updating vector databases with Google Drive.RAG Chatbot using AI agent nodes, embeddings & retrieval techniques.AI-powered email agents for automated summaries & responses.Prompt Engineering for AI AgentsOptimize your prompts for better AI responses:Principles & best practices for effective prompt engineering.Avoiding errors & precisely controlling AI outputs.Hosting, Social Media & Advanced AutomationsExpand your automations with self-hosting & real-time integrations:n8n self-hosting with Render & other options.Using AI agents in WhatsApp & Telegram.Social media automation with sub-workflows, webhooks & web scraping.Debugging & Optimizing API IntegrationsEnhance performance & error handling in n8n workflows:Debugging strategies for error-free n8n automations.Connecting Flowise AI agents with webhooks & Google Sheets.Extending n8n with Flowise & JavaScript custom tools.Building a Business with AI Automation & AI AgentsLeverage your skills to create a profitable AI automation business:Selling automations & AI agents as services.Developing market-ready RAG bots for lead generation & website integration.Marketing strategies for successfully selling AI solutions.Optimizing RAG Chatbots: Data Quality & ChunkingImprove AI responses with optimized data strategies:Chunk size, overlap & data quality for better chatbot performance.Using Firecrawl for web data extraction in Markdown format.LlamaIndex & LlamaParse for data preprocessing in Google Colab.Security, Privacy & Ethical ConsiderationsProtect your AI agents & ensure GDPR compliance:Understanding & preventing jailbreaks, prompt injections & data poisoning.Ensuring copyright & data protection for AI-generated content.Key legal frameworks: EU AI Act & moreAdditionally, you'll gain access to 29 ready-to-use JSON workflows, available for download to streamline your learning experience and accelerate implementation.Become an Expert in AI Agents & Automation!After this course, you will have a deep understanding of AI automation, n8n, LLMs & RAG and be able to develop, optimize, and deploy powerful AI agents for business applications.Sign up now and step into the future of AI automation. Overview Section 1: Introduction Lecture 1 Welcome! Lecture 2 Course Overview Lecture 3 Important Tips for the Course Lecture 4 Explanation of the Links that you need in the Course Lecture 5 Important Links Section 2: Basics - Automation, LLMs, Function Calling, Vector Databases & RAG Explained Lecture 6 What to Expect in This Section Lecture 7 What Are Automations, AI Automation, and AI Agents? Lecture 8 What Is an API (Client and Server) Lecture 9 Tools for Automation & AI Agents: n8n, Make, Zapier, LangChain, Flowise & More Lecture 10 What are LLMs like ChatGPT, Claude, Gemini, Llama, Deepseek, Grok etc. Lecture 11 OpenAI API Explained: Pricing, Project Setup, Management & Compliance Lecture 12 Test Time Compute (TTS) Explained: Thinking Models like Deepseek R1 & OpenAI o3 Lecture 13 What is Function Calling in LLMs for AI Agents and AI Automations Lecture 14 Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG) Lecture 15 Key Takeaways Section 3: n8n Basics - Installation, Interface & First Simple Workflows Lecture 16 What This Section Covers Lecture 17 Local Installation of n8n with Node.js & Interface Overview Lecture 18 Managing Node Versions (Fixing Errors in n8n Installation) Lecture 19 Updating n8n Locally via Node.js Lecture 20 Testing n8n for Free Without Local Installation Lecture 21 First Automation: Automatically Save Bookings from On Form Submit in Airtable Lecture 22 Importing, Exporting, and Selling Workflows as JSON Lecture 23 Automatically Backing Up Airtable Data Locally Lecture 24 Connecting Google Sheets with n8n (Google Cloud Platform Console) Lecture 25 Recap Section 4: Expanding Automations with LLMs & AI Lecture 26 Overview of This Section Lecture 27 Email Automation for Customer Bookings with OpenAI (ChatGPT) Gmail & Airtable Lecture 28 Sentiment Analysis with LLMs & Storing Data in Airtable: OpenAI API Lecture 29 Using Open-Source LLMs with Ollama: Deepseek R1, Llama, Mistral & More Lecture 30 Integrating Any LLM into n8n via APIs: Deepseek API, Groq, Gemini, Claude & More Lecture 31 Recap of Automations with LLMs in n8n Section 5: AI Agents & RAG Chatbots in Your Automations & Email Automation Lecture 32 What to Expect in This Section Lecture 33 RAG Agent (Part 1): Automatic Vector Database Updates with Google Drive Lecture 34 RAG Chatbot (Part 2): AI Agent Node, Vector Database, Embeddings & More Lecture 35 Email Agent with Sub-Workflows, Vector Database, Google Sheets & More Lecture 36 The Fastest Way to Build an Email Agent! Lecture 37 Automatically Summarizing All New Emails of the Day with LLMs at 7AM Lecture 38 AI-Powered Email Automation: Filtering Messages & Auto-Replying Lecture 39 Recap & Practical Task Section 6: Prompt Engineering for AI Agents & AI Automations Lecture 40 Prompt Engineering for AI Agents & AI Automations (Systemprompts) Lecture 41 Key Principles of Prompt Engineering for AI Agents & Automations (Atricle) Section 7: Hosting & Tool Integration: Telegram, WhatsApp, Calendar, Scraping & More Lecture 42 Hosting n8n: Self-Hosting with Render & Other Options Lecture 43 Integrating AI Agents & Automations into WhatsApp Lecture 44 Code Snippet (Dynamic Expression) for WhatsApp as Download Lecture 45 Using AI Agents & Sub-Workflows with Telegram Trigger Node Lecture 46 Telegram Agent: Automating Emails, Calendars & More via Voice & Text Lecture 47 Push the Boundaries: Big AI-Agent that can talk and automate everything Lecture 48 More Practical Examples. Social Media Automation, Scraping, Crawling & More Lecture 49 My BEST Tip for Building and Prompting AI-Agents Lecture 50 Recap Section 8: Debugging Workflows & Integrating Other Apps/APIs with HTTP Requests & Webhooks Lecture 51 What to Expect: Debugging & Controlling n8n from Other Apps with Webhooks Lecture 52 Finding Errors in n8n Workflows with This Automation (Debugging n8n) Lecture 53 Flowise AI Agent & n8n Webhook: Integrate Sheets with JavaScript & HTTP request Lecture 54 JavaScript Code for the Flowise Custom Tool as Download (fetch for HTTP-Request) Lecture 55 One more example for Webhooks and HTTPS request Lecture 56 Recap of Webhooks, HTTP Requests and Error Trigger Nodes Section 9: Integrate Apps in Websites and Build a Business with AI Automation & AI Agents Lecture 57 Overview of This Section: AI Automation as a Business Lecture 58 What AI Automations & Agents Can Be Sold? Lecture 59 Market-Ready RAG Bot for Lead Generation (n8n, Pinecone & Google Sheets) Lecture 60 RAG Lead Bot as a Standalone App with a Published: URL Lecture 61 Integrating RAG Bots into Websites: HTML, WordPress & Custom CSS Branding Lecture 62 Selling Automations & AI Agents: Marketing, Offers, Price, Sales & More Lecture 63 Web Scraping with Software - Quickly Find Many Leads Lecture 64 Summary & Additional Tips Section 10: Optimizing RAG Chatbots - Data Quality, Chunk Size, Overlap, Embeddings & More Lecture 65 Optimizing RAG Chatbots: Data Quality, Chunk Size, Overlap, Embeddings & More Lecture 66 Scraping Webpages and Converting HTML & PDFs to Markdown for Better RAG Lecture 67 Efficient RAG with LlamaIndex & LlamaParse: Data Preparation for PDFs & CSVs Lecture 68 Chunk Size and Chunk Overlap for your Embeddings (Better RAG Application) Lecture 69 Recap: Data Quality, Chunk Size, Overlap, Embeddings for betther RAG Section 11: Problems, Security & Compliance - Copyright, Data Protection, GDPR & EU AI Act Lecture 70 First Problems and what will we Learn in this Section? Lecture 71 Jailbreaks: A Method to Hack LLMs and AI-Agents & Automations with Prompts Lecture 72 Prompt Injections: Another Security Vulnerability of LLMs, Agents & Automations Lecture 73 Data Poisoning and Backdoor Attacks Lecture 74 Copyrights & Intellectual Property of Generated Data from AI Agents Lecture 75 Privacy & Protection for your own and Client Data Lecture 76 Censorship, Alignment & Bias in LLMs: Deepseek, ChatGPT, Claude, Gemini, Dolphin Lecture 77 License of n8n: Can you sell AI agents, AI Automations or the Codebase from n8n? Lecture 78 EU & US Compliance: GDPR (DSGVO), CCPA/CPRA & the EU AI Act Lecture 79 Overview of the EU AI Act for ChatBots & AI Agents + CCPA/CPRA (Deep Research) Lecture 80 DSGVO (GDPR) Compliance for Chatbots & AI Agents + CCPA/CPRA (Deep Research) Lecture 81 Recap Important Points to Remember Section 12: What's Next? Lecture 82 Recap, Thank You & Next Steps For entrepreneurs who want to become more efficient, save money, or build an AI business.,For anyone eager to learn something new and gain deep insights into AI automation.,For individuals interested in AI and automation who want to build their own agents.,For developers and data scientists who want to stay on top of GenAI, automation, AI agents, and frameworks.,For anyone looking to automate tasks. 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Free Download Udemy - Building Responsive Apps in Flutter - Responsive UI Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 31m | Size: 411 MB Master responsive UI design in Flutter. Learn best practices to create seamless experiences across all devices. What you'll learn Design and implement responsive user interfaces in Flutter for apps that adapt to various screen sizes and orientations. Utilize Flutter's layout widgets, such as Flexible and Expanded, to create fluid and scalable designs. Apply best practices for handling device-specific screen resolutions and aspect ratios to ensure a consistent user experience. Integrate responsive design principles into Flutter apps using media queries, constraints, and adaptive widgets. Build dynamic and adaptive UI components that seamlessly adjust to different platforms, including mobile, tablet, and web. Requirements A basic understanding of Flutter, along with familiarity with the Dart language and Flutter framework, is recommended. Description Are you looking to build mobile applications that look great on any device? In this course, "Building Responsive Apps in Flutter - Responsive UI," you will learn how to design and develop adaptive, scalable, and user-friendly interfaces using Flutter. Whether you're a beginner or an experienced developer, this course will help you master responsive UI techniques to create seamless user experiences.What You'll Learn:Understanding Responsive Design Principles - Learn how to make apps that look great on different screen sizes and orientations.Using MediaQuery & LayoutBuilder - Master techniques to dynamically adjust UI elements based on screen dimensions.Flexible & Expanded Widgets - Explore powerful widgets that help create adaptable and fluid layouts.Breakpoints & Adaptive UI - Implement strategies to optimize your UI for different screen resolutions, from small phones to large tablets.Real-world Projects - Apply what you learn by working on hands-on projects that demonstrate responsive design in action.By the end of this course, you'll have the confidence and skills to build professional-grade Flutter apps that provide a consistent user experience across various devices.Enroll now and start building responsive Flutter apps today and you'll have the confidence and skills to build professional-grade Flutter apps that are famous !Course Instructor : Sajjad Javed, Flutter Developer Who this course is for This course is suitable for both beginners and advanced learners. It covers all the fundamental concepts needed to create responsive apps and dives deep into advanced techniques for building adaptive UIs. Basic familiarity with Flutter is helpful but not required, as everything will be explained in detail. Homepage: https://www.udemy.com/course/building-responsive-apps-in-flutter-responsive-ui/ DOWNLOAD NOW: Udemy - Building Responsive Apps in Flutter - Responsive UI Rapidgator https://rg.to/file/85d65ebb6e3868e51c4ef1b6d9ea50f3/wppvl.Building.Responsive.Apps.in.Flutter..Responsive.UI.rar.html Fikper Free Download https://fikper.com/SPDWdUlCe9/wppvl.Building.Responsive.Apps.in.Flutter..Responsive.UI.rar.html : No Password - Links are Interchangeable

Generative AI Apps with LangChain and Python: A Project-Based Approach to Building Real-World LLM Apps English | 2024 | ASIN : B0DCNCLS8T | 509 Pages | PDF (True) | 11 MB Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level. https://rapidgator.net/file/fd783c7f3c296569aa52e2ca6ca30a43/ https://nitroflare.com/view/EB86586124B33A7/ https://turbobit.net/e1k9xwlk4zu1.html

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Free Download OpenAI API Building Voice Apps with the Realtime API Released 10/2024 With Morten Rand-Hendriksen MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 53m 37s | Size: 151 MB Get hands-on real-world experience using the OpenAI Realtime API to add latency-free voice-to-voice interaction in AI apps. Course details The Realtime API from OpenAI gives you the tools and materials needed to integrate latency-free voice-to-voice interaction in your AI apps while leveraging existing features like function calling, memory, and more. In this course you'll get an introduction to the Realtime API, a rundown of the documentation and provided examples, and hands-on practice building your own advanced voice- and text-powered AI app with function calling. Homepage https://www.linkedin.com/learning/openai-api-building-voice-apps-with-the-realtime-api Welcome to Rapidgator https://rg.to/file/d0e3f64f2237b60e8927972a58c8f040/vxxtb.OpenAI.API.Building.Voice.Apps.with.the.Realtime.API.rar.html Fikper Free Download https://fikper.com/x43pNfH4tc/vxxtb.OpenAI.API.Building.Voice.Apps.with.the.Realtime.API.rar.html No Password - Links are Interchangeable

Free Download Nuxt.js 3 - Build Web Apps (TypeScript and Composition API) Published 10/2024 Created by Fawad | 1.4 Million Students | #1 Best Coding and Programming | Programming Course | Development and Designing MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 34 Lectures ( 6h 44m ) | Size: 2.82 GB Build Web Apps with Nuxt.js, Integrate Composition API, Use Pinia, TypeScript, Server-side APIs, SEO Optimize by Vercel What you'll learnDevelop server-side-rendered single-page applications (SPAs) Build optimized, standard SPAs effortlessly Use Vuejs to generate a static webpage Learn to transform VueJs code into static, SEO-friendly web pages RequirementsEverything is covered in full detail, and the course will teach you everything-no need to search further. :) DescriptionMastering Nuxt 3 with Composition API & TypeScriptUnlock the full potential of Nuxt.js 3 in this extensive course, designed for modern web developers. You'll begin by mastering the Composition API, which is central to Vue 3, allowing you to create reusable, modular, and flexible logic. Dive deep into TypeScript, leveraging static typing, interfaces, and generics to build more reliable, scalable applications.For state management, we utilize Pinia, a cutting-edge, Vue 3-compatible store library that simplifies handling complex global state. You'll also gain expertise in Server API development, working with Nuxt's Nitro engine to build RESTful APIs, GraphQL endpoints, and seamless server-side rendering (SSR) or static site generation (SSG).By the course's end, you'll deploy your projects to Vercel, utilizing serverless functions, edge routing, and automatic optimizations for ultra-fast, production-ready applications. Additional topics include middleware integration, lazy loading, dynamic imports, and SEO optimization, ensuring you're equipped to build high-performance, SEO-friendly, and secure web applications using the latest in the Nuxt 3 ecosystem. Nuxt 3 Full-Stack Development: Composition API, TypeScript, and Server IntegrationThis course offers a comprehensive guide to Nuxt.js 3, combining frontend and backend development into a full-stack learning experience. You'll explore the Composition API, the modern approach for structuring logic in Vue 3 applications, and master TypeScript to build scalable, type-safe apps. The course also covers advanced topics in state management using Pinia, a powerful store library for large-scale applications. Who this course is forThis NUXTJS course is ideal for developers who want to kickstart their careers in the development field. Homepage https://www.udemy.com/course/nuxtjs-3-nuxtjs/ Rapidgator https://rg.to/file/044d7b8c94ca3b1138bb8fa168d50ded/liqzx.Nuxt.js.3..Build.Web.Apps.TypeScript.and.Composition.API.part2.rar.html https://rg.to/file/4a14969eae5c572559ec5973303e20b0/liqzx.Nuxt.js.3..Build.Web.Apps.TypeScript.and.Composition.API.part1.rar.html https://rg.to/file/f9388681624e52ac25e299e4e8e855a6/liqzx.Nuxt.js.3..Build.Web.Apps.TypeScript.and.Composition.API.part3.rar.html Fikper Free Download https://fikper.com/FmnEI8WjCT/liqzx.Nuxt.js.3..Build.Web.Apps.TypeScript.and.Composition.API.part2.rar.html https://fikper.com/Ux6amiycgr/liqzx.Nuxt.js.3..Build.Web.Apps.TypeScript.and.Composition.API.part3.rar.html https://fikper.com/dKPf6xyAIK/liqzx.Nuxt.js.3..Build.Web.Apps.TypeScript.and.Composition.API.part1.rar.html No Password - Links are Interchangeable

Free Download Master Electron Desktop Apps With HTML, Javascript & CSS Last updated 6/2021 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.74 GB | Duration: 7h 58m The Complete Electron course for learning to build Cross Platform Desktop Apps using HTML, JavaScript & CSS What you'll learn Build native desktop applications using existing knowledge of HTML, CSS & JavaSript Create applications for both Mac, Windows & Linux Understand the near-entire Electron API in detail. Package Electron applications for distribution. Expand your existing skills beyond the browser & add an invaluable new skill to your resume. Verifiable certificate of completion. Requirements A good understanding of JavaScript. Basic understanding of ES6 would be beneficial. Working knowledge of HTML & CSS. Be comfortable with very basic usage of the command line (CLI) Understand JavaScript in the Browser. e.g. Knowing what the global 'window' variable is etc. Basic understanding of Node.js Basic knowledge of Git (Recommended, but not required) Description ** Now includes MacOS Notarization **** UPDATED for Electron version 9 & 10 **Go from Web Developer to Desktop Applications Developer by learningto use the entire Electron API from scratch.This course is suitable for BOTH complete Electron beginners and existing Electron developers looking to advance to the next level.Learn to develop with Electron using the best toolsUnderstand the different parts of Electron and how they work togetherCover the near-entire Electron API, learning one module at a timeLearn Electron features & techniques for using API modules togetherPut your new knowledge to practical use by building a detailed 8-step Electron project from scratch.An invaluable skill for any Web Developer to expand their career opportunities.Electron is by far the most popular and fastest growing library for building cross-platform desktop applications using HTML, JavaScript & CSS.This course will provide a very practical and concise approach to learning Electron from scratch.You will be able to start building real-world desktop applications immediately.Content and OverviewWith 45 concise and practical lectures, this course will provide a COMPLETE understanding of Electron and it's full API.It is suitable for anyone with a a good understanding of HTML, CSS & JavaScript.Basic command line usage and an understanding of ES2015 (ES6) will be beneficial.The course starts by setting up the Electron development environment and covers some useful tools to aid in the development process.The main body of the course then covers the 3 individual sections of the Electron API in great detail, with very practical individual lessons on each API module.Once the API is covered, the course looks at some useful features and techniques, also demonstrating how Electron integrates with Native HTML5 APIs.Finally you'll build a real-world application which covers a large chunk of the Electron API in real-world scenarios. The project lessons is divided into 8 individual videos and will take you step-by-step to a complete, distribution-ready desktop application.Upon completion of this course you will have the practical skills to immediately start building high quality desktop applications for Mac, Windows & Linux.This course is to the point and everything is demonstrated in the most simple, yet practical ways, to help you become an advanced Electron Developer. Overview Section 1: Overview Lecture 1 Introduction Lecture 2 Lesson Structure Section 2: Developing with Electron Lecture 3 Install & Run Lecture 4 App Structure Lecture 5 Using Native Node Modules Lecture 6 Debugging Lecture 7 Resetting the Project Code Section 3: Main Process API Lecture 8 App Lecture 9 BrowserWindow: Getting Started Lecture 10 BrowserWindow: Parent & Child Windows Lecture 11 BrowserWindow: Frameless Window Lecture 12 BrowserWindow: Properties, Methods & Events Lecture 13 BrowserWindow: Window State Lecture 14 BrowserWindow: webContents Lecture 15 Session: Getting Started Lecture 16 Session: Cookies Lecture 17 Session: DownloadItem Lecture 18 Dialog Lecture 19 Accelerators & globalShortcut Lecture 20 Menu & MenuItem Lecture 21 Context Menu Lecture 22 Tray Lecture 23 PowerMonitor Lecture 24 Screen Section 4: Renderer Process API Lecture 25 Renderer Overview Lecture 26 BrowserWindowProxy Lecture 27 WebFrame Lecture 28 DesktopCapturer Section 5: IPC Communication Lecture 29 ipcMain & ipcRenderer Lecture 30 Remote Module Lecture 31 IPC Invoke & Handle Section 6: Shared API Lecture 32 Process Lecture 33 Shell Lecture 34 NativeImage Lecture 35 Clipboard Section 7: Features & Techniques Lecture 36 Offscreen Rendering Lecture 37 Network Detection Lecture 38 Notifications Lecture 39 Preload Scripts Lecture 40 Progress Bar Section 8: Project Lecture 41 Overview & Setup Lecture 42 Submitting New Items Lecture 43 Retrieving Item Details Lecture 44 Showing & Persisting Items Lecture 45 Selecting Items for Opening Lecture 46 Opening Items in Reader Lecture 47 Deleting Items Lecture 48 Application Menu Section 9: Application Distribution Lecture 49 Distribution Overview Lecture 50 Electron-Builder Lecture 51 Code Signing Lecture 52 Publishing Releases Lecture 53 AutoUpdater Module Lecture 54 App Update Lecture 55 Release & Update Section 10: MacOS Notarization Lecture 56 Notarization Overview Lecture 57 Notarization with Electron-Builder Section 11: MacOS Touch Bar Lecture 58 Touch Bar Basics Lecture 59 Advanced Touch Bar Layouts Lecture 60 Touch Bar Integration Section 12: Outro Lecture 61 Bonus Lecture: Feedback & Stackacademy.tv Courses This course is designed for developers with a good understanding of web technologies such as HTML, CSS & JS, looking to start building native Desktop applications using their existing knowledge.,The course covers almost every aspect of Electron and is very comprehensive.,No prior experience with Electron is required. 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Free Download Build Mobile Apps with ChatGPT & AI - No Coding Required Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 5m | Size: 1 GB Learn to create mobile apps from scratch using ChatGPT and Flutter - perfect for beginners with no coding experience. What you'll learn Learn to build Mobile Apps by describing app ideas in plain text Learn to convert app designs or images to real functional apps Learn use of chatgpt to build complete apps for both Android & IOS without learning any programming langauge Learn to bring your app ideas to life without investing time in learning complex coding skills Learn to write effective prompts for building exciting mobile apps Requirements No programming experience required Description Unlock the power of AI to build mobile apps without writing a single line of code! In this beginner-friendly course, you'll learn how to use ChatGPT and Flutter to create fully functional mobile apps by simply describing what you want in plain text. Led by Muhammad Hamza Asif, this course will guide you through setting up your development environment, building essential app features, and using AI to generate the code for you.We'll cover everything from building your first calculator app to creating multi-functional apps like a weather app, jokes app, dice roller, QR code generator, and more. You'll learn how to integrate libraries, external assets, and APIs, all powered by ChatGPT.Whether you're a complete beginner, an experienced developer looking for a fresh approach, or just curious about the possibilities of AI-assisted development, this course is designed to make app-building accessible, intuitive, and fun. By the end, you'll have a portfolio of apps ready for customization, along with the confidence to bring your ideas to life.Key Takeaways:Set up your Flutter development environmentUse ChatGPT to build mobile apps without coding knowledgeCreate a variety of apps, from simple calculators to dynamic multi-screen appsIntegrate external libraries, assets, and APIs with easeGain hands-on experience in app development fundamentals through guided projectsStart building your dream app today with the help of ChatGPT - no coding skills required! Who this course is for Ideal for those with no coding experience who want to create mobile apps from scratch using AI Perfect for individuals with app ideas looking to bring them to life without investing time in learning complex coding skills Great for people interested in the intersection of AI and app development who want to explore how ChatGPT can streamline the process A valuable course for designers and creative professionals who want to prototype apps and test ideas visually without needing to code Homepage https://www.udemy.com/course/build-mobile-apps-with-chatgpt-ai-no-coding-required/ Screenshot Rapidgator https://rg.to/file/a3165d5e02b3f073d95c7b609a56638b/abnlu.Build.Mobile.Apps.with.ChatGPT..AI..No.Coding.Required.part2.rar.html https://rg.to/file/c4b958542f8f9124c17b91cc35c230f9/abnlu.Build.Mobile.Apps.with.ChatGPT..AI..No.Coding.Required.part1.rar.html Fikper Free Download https://fikper.com/eYmAVCOWTH/abnlu.Build.Mobile.Apps.with.ChatGPT..AI..No.Coding.Required.part1.rar.html https://fikper.com/mq9WXH88NS/abnlu.Build.Mobile.Apps.with.ChatGPT..AI..No.Coding.Required.part2.rar.html No Password - Links are Interchangeable

Free Download Build Flutter Apps Effortlessly with ChatGPT - Zero Coding Published 10/2024 Created by Mobile ML Academy by Hamza Asif MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 29 Lectures ( 2h 3m ) | Size: 1 GB Learn to Build Flutter Apps Using ChatGPT: From advance UIs to Multi-Screen Flutter Apps with No Coding Skills Required What you'll learn If you can describe an app, you can build it Learn how to effectively prompt ChatGPT to create, modify, and troubleshoot Flutter app code Create functional apps like a calculator, stopwatch, notes app, dice app, and more, all guided by ChatGPT Develop intuitive and appealing user interfaces through ChatGPT's code generation and customization Understand how to fix issues by using ChatGPT to debug and troubleshoot errors in your code Build practical, usable apps without needing to learn Dart or Flutter in depth, making app creation accessible to anyone Learn how to ask ChatGPT to integrate third-party libraries and APIs, such as generating QR codes or fetching data from a currency converter API Requirements You don't need to know Flutter, Dart, or any programming language. ChatGPT will handle the code generation Familiarity with using a computer, web browser, and downloading/installing software ou will need a computer (Windows, macOS, or Linux) to install Flutter and run your apps Description If you can describe an app, you can build itHave you ever wanted to build mobile apps but felt intimidated by programming languages like Flutter and Dart? This course is designed to eliminate that barrier by using the powerful AI tool, ChatGPT, to help you create stunning, functional apps without writing code yourself.In this course, you'll:Learn how to use ChatGPT to write, customize, and troubleshoot Flutter app code.Build a variety of real-world apps, starting from a simple calculator to a multi-screen notes app and more.Practice app development using hands-on assignments such as creating a tip-splitting app and a number-guessing game.Incorporate external assets, libraries, and APIs into your apps with ChatGPT's assistance.Get comfortable with the process of app design, error handling, and adding user interfaces-all without needing coding experience.What you'll build:Calculator App: A single-screen app that allows you to practice UI design and error handling.Stopwatch App: Develop a functional timer with a more complex app structure.Multi-Screen Notes App: Learn to manage multiple screens and make individual changes using ChatGPT.Tip Splitter App: Learn to practice your learning by building a tip calculator app in FlutterDice App: Use external assets in the app while building fun, interactive apps.QR Code Generator: Integrate libraries to enhance app functionality.Jokes & Weather Apps: Use API in Flutter to build exciting appsBy the end of this course, you'll have the confidence to create fully functional apps with minimal effort, all thanks to ChatGPT's intelligent code generation. This is perfect for anyone who wants to enter the world of mobile app development without learning programming from scratch.No prior experience is needed-if you can describe an app, you can build it! Join us today and start your journey to becoming a Flutter app creator. Who this course is for Ideal for those with no prior coding experience who want to build mobile apps using ChatGPT Individuals who are interested in Flutter app development but want to avoid diving into coding right away Anyone with app ideas but limited technical knowledge, who wants to bring those ideas to life quickly. Developers looking to speed up their workflow or explore ChatGPT's capabilities in automating repetitive tasks will benefit from this course. You'll gain new techniques to streamline your development process. Homepage https://www.udemy.com/course/build-flutter-apps-effortlessly-with-chatgpt-zero-coding/ Screenshot Rapidgator https://rg.to/file/3a3bcbd8fb13365e1043b1b5a78c7fe9/ajvtg.Build.Flutter.Apps.Effortlessly.with.ChatGPT.Zero.Coding.part1.rar.html https://rg.to/file/658d764dd7d5f33f39de58c45ae309ee/ajvtg.Build.Flutter.Apps.Effortlessly.with.ChatGPT.Zero.Coding.part2.rar.html Fikper Free Download https://fikper.com/c8A8OlEaBx/ajvtg.Build.Flutter.Apps.Effortlessly.with.ChatGPT.Zero.Coding.part1.rar.html https://fikper.com/uSVR8PCnLS/ajvtg.Build.Flutter.Apps.Effortlessly.with.ChatGPT.Zero.Coding.part2.rar.html No Password - Links are Interchangeable

Free Download Build Ai-Powered Apps In Minutes - Master Aws Partyrock Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 615.84 MB | Duration: 1h 2m Create and share Generative AI applications with a free, drag-and-drop builder powered by AWS What you'll learn Learn to develop and share your own generative AI applications with AWS PartyRock Understand and apply principles of building Generative AI apps Apply effective user experience design for Generative AI applications Master prompting and instructing Large Language Models (LLMs) Be inspired by a variety of use cases for Generative AI apps - sales, leadership development, training, marketing and more Prepare for elements of the AWS Certified AI Practitioner Certification Requirements No programming knowledge needed No previous experience with AWS required Description Are you ready to build your own generative AI-powered apps in minutes, without any coding or technical experience?This course will empower you to do just that!Whether you're a product manager, consultant, small business owner, educator, or just someone curious about generative AI, you'll learn how to create fully functional applications using AWS PartyRock's no-code platform. The great thing is that AWS PartyRock is absolutely FREE to use - so you will need no subscription or credit card for using this amazing tool.In this hands-on course, you'll discover how to quickly build web apps with features like text and image generation, personalized chatbots, file analysis, and more. These apps can help you solve real-world problems, boost your productivity, and create customized AI solutions - without the complexity of traditional development.What you'll learn:Build Generative AI Apps in Minutes: Learn how to create AI-powered applications such as job interview role-playing tools, LinkedIn post generators, visual story builders, and product ideation engines.No Technical Skills Needed: With PartyRock's simple drag-and-drop interface, you'll be able to add widgets, configure them for generative AI, and produce working apps in no time.AI at Your Fingertips: Use large language models for text generation, chatbots for dynamic conversations, and image generation features to create a variety of useful applications.Real-world Projects: Apply your learning to practical scenarios and create custom solutions for yourself, your business, or your team.Best Practices for Using Generative AI: Learn prompt formulas, strategies for effective AI use, and best practices for responsible use of AI technology.Share and Remix Apps: Learn how to share your applications, export their outputs, and even remix existing apps from the PartyRock community to fit your needs.Who is this course for?Product Managers and Business Owners: Anyone looking to leverage AI to boost productivity, automate workflows, or innovate with no technical barrier.Educators and Learning Professionals: Create AI-driven learning tools and improve engagement in your classroom or workplace.Consultants and Innovators: Build custom AI apps for clients or your own projects with ease.Freelancers and Solopreneurs: Quickly build tools to enhance your business offerings or streamline operations without needing a development team.Small Business Owners: Those who want to leverage AI to automate daily tasks and improve efficiency without technical skills.HR and Recruitment Professionals: Develop interactive tools for training, onboarding, and role-play simulations to enhance the hiring process.Why take this course?AI, Simplified: PartyRock enables anyone to build and customize AI-powered applications without programming knowledge.Hands-On Learning: You'll build multiple apps from scratch, exploring different widgets and their powerful AI capabilities.Completely Free Tool: AWS PartyRock is entirely free, and I'll show you how to maximize its potential to create real-world AI applications.Join me, Amir, a seasoned innovation consultant with experience at Amazon Web Services and startups, as I guide you through building your own generative AI-powered apps. You'll leave this course with the skills to build solutions for yourself, your customers, or your team in just minutes - without writing a single line of code!Let's ride the generative AI wave and start building together. Ready to PartyRock? Overview Section 1: Introduction Lecture 1 Introduction - what are we going to learn and do in this course Lecture 2 Examples of apps and prototypes you will build Section 2: Getting to know AWS PartyRock Lecture 3 What is AWS PartyRock? Lecture 4 Getting started with AWS PartyRock - sign up, widgets, and blocks Section 3: Let's Party! Building your 1st app in minutes - an interview role play tool Lecture 5 Sneak peak - here's what you'll build - Interview practice app Lecture 6 Create the app - static text, user input, file upload, text generation, and chat Lecture 7 Text generation widgets - prompts, large language models. and settings Lecture 8 Sharing you app with others - private, public, and shared modes Lecture 9 Remix applications - build on what others have created Section 4: Principles and tips for working with prompts and text generation models Lecture 10 What can you do with text generation widgets? Design patterns and use cases Lecture 11 What can you do with chat widgets? Design patterns and use cases Lecture 12 Principles for responsible AI usage and application building Section 5: Let's Rock! Build a LinkedIn post generator - with text, emojis, and images Lecture 13 Sneak peak - here's what you'll build - LinkedIn Post Generator Lecture 14 Creating the LinkedIn post generator Section 6: Rock and Roll! Building Storyteller - an AI visual story generator Lecture 15 Sneak peak - here's what you'll build - Visual Storyteller Lecture 16 Storyteller widgets explained Section 7: Course conclusion and next steps Lecture 17 Concluding remarks and a thank you message Product Managers and Business Owners: Anyone looking to leverage AI to boost productivity, automate workflows, or innovate with no technical barrier.,Educators and Learning Professionals: Create AI-driven learning tools and improve engagement in your classroom or workplace.,Consultants and Innovators: Build custom AI apps for clients or your own projects with ease.,Freelancers and Solopreneurs: Quickly build tools to enhance your business offerings or streamline operations without the need for a development team.,HR and Recruitment Professionals: Develop interactive tools for training, onboarding, and candidate role-play simulations to enhance your hiring processes.,Students and AI Enthusiasts: Gain practical experience building generative AI applications that can boost your portfolio or kickstart a career in AI.,UX and CX Designers: Create dynamic and personalized user experiences using AI-powered tools to enhance customer and user interactions. 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Free Download Build AI Apps With NodeJS and OpenAI Published 10/2024 Created by Nitish Mankeshwar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 17m ) | Size: 533 MB Create AI powered applications with NodeJS and OpenAI API What you'll learn Becoming independent AI powered application developer Understanding core Langchain fundamentals Understanding RAG AI function calling Requirements Javascript Intermediate NodeJS (beginner to intermediate) Please watch the video preview available for detailed pre-requisites Description NOTE: The Course is still in progress and I will be progressively adding LecturesEver wondered how AI apps are build?Just want to start developing AI apps without knowing Python?No idea what LangChain is?In this cutting-edge course, you'll delve into the exciting world of artificial intelligence (AI) and learn to create powerful applications using OpenAI API and Langchain. Whether you're an experienced developer or a newcomer to AI, this course will equip you with the knowledge and skills to build innovative AI-powered solutions.You'll start by understanding the fundamentals of AI and its applications. Then, you'll explore the capabilities of OpenAI API, one of the most advanced AI platforms available, enabling you to access state-of-the-art models and integrate them seamlessly into your applications.Next, you'll dive into Langchain, a revolutionary blockchain-based platform for secure and decentralised AI development. You'll learn how to leverage Langchain's features to build AI modelsThroughout the course, you'll work on hands-on projects and real-world scenarios, giving you practical experience and insight into the AI development process. By the end, you'll emerge with the expertise to develop AI-powered apps that can transform industries and revolutionise user experiences. Join us and embark on your journey to become a leader in AI application development! So what are you waiting for? Join today! Who this course is for Who wants to become an AI app developer using JavaScript AI enthusiasts who want to learn how AI apps are build with OpenAI and Langchain Who want to start developing AI apps without knowing Python Who wants to understand Langchain Framework Homepage https://www.udemy.com/course/build-ai-apps-with-nodejs-and-openai/ Screenshot Rapidgator https://rg.to/file/49fb37c8e99ef2637e6acf011fea2a9d/jzwlu.Build.AI.Apps.With.NodeJS.and.OpenAI.rar.html Fikper Free Download https://fikper.com/qrGMnqU5O8/jzwlu.Build.AI.Apps.With.NodeJS.and.OpenAI.rar.html No Password - Links are Interchangeable

Free Download Android Compose Essentials - Build Android Apps Like A Pro Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 14.06 GB | Duration: 25h 42m Learn Kotlin and Compose, SQLite with Room, DI with Hilt, Networking with Retrofit and Modern Architecture Principles What you'll learn Learn the basics of Kotlin Language and Object Oriented Programming concepts Learn asynchronous coding with Kotlin Coroutines and Flow Learn how to build native Android Application from scratch Learn how to build reactive and declarative user interfaces using Jetpack Compose Library Learn Modern Android App Architecture with MVVM Learn best practices like Separation of Concern, Single Source of Truth (SSOT), Drive UI from Models, Dependency Injection Requirements No experience on App Development (Android or iOS) is required. Basic knowledge on any Object Oriented Programming based language like C++, Java, C# or Python is required. Description Unlock the power of Android Jetpack Compose and Kotlin to build modern, efficient, and beautiful UI applications. This comprehensive course is designed to guide you through the essentials of Jetpack Compose, from the fundamentals of Kotlin to advanced state management, concurrency, and networking.Whether you're a beginner or an intermediate developer, this course is structured to provide a solid foundation and hands-on experience with Jetpack Compose.What You Will Learn:Kotlin Fundamentals:Master the basics of Kotlin, including loops, functions, and object-oriented programming (OOP) concepts.Understand special Kotlin classes like data classes, sealed classes, and more to leverage Kotlin's full potential.Android Project Setup & Jetpack Compose Basics:Learn Android project structures and how to set up development tools and SDKs.Dive into Jetpack Compose fundamentals, exploring Composable functions, Preview Composables, text, and image Composables.Layout in Jetpack Compose:Explore Layout Composables like Column, Row, Box, LazyColumn, Modifier, Scaffold, and AppBar.Work on hands-on tasks to design UI components like a profile page and master the Weight Modifier for responsive layouts.State Management & Lifecycle:Grasp the key concepts of State in Compose, MutableState, and the Remember function.Master state hoisting, ViewModels, and Activity lifecycle management while adhering to best practices like Separation of Concern and Single Source of Truth (SSOT).Concurrency with Kotlin:Dive into Kotlin Coroutines and learn to manage concurrency with suspend functions, async/await, launch, and parallel decomposition techniques.Networking & Dependency Injection:Build seamless networking integrations using Retrofit, manage device location, and enhance app architecture with Dependency Injection using Hilt and the Repository pattern.Persistence & Navigation:Master the Room Persistence Library to implement database CRUD operations and complex JOIN queries.Learn to navigate between destinations using Compose Navigation, argument passing, and SavedStateHandle.By the end of this course, you'll be equipped with the skills to build modern Android applications using Jetpack Compose and Kotlin, applying best practices in app architecture, state management, and efficient UI design. Whether you're looking to build production-ready apps or enhance your current projects, this course will set you up for success.Enroll now and start building beautiful Android apps with Jetpack Compose! Overview Section 1: Welcome to the course Lecture 1 Welcome! Lecture 2 How to take this course Section 2: Kotlin Programming Language Lecture 3 Section overview - What you will learn Lecture 4 Hello World-Our first Kotlin Program Lecture 5 Kotlin Variables Lecture 6 More Kotlin Data Types Lecture 7 String interpolation Lecture 8 Kotlin Operators Lecture 9 Conditional Statement - If Else Lecture 10 If Else Expression in Kotlin Lecture 11 Excercise-Find the weather condition Lecture 12 Range is Awesome Lecture 13 When is better than if-else-if Lecture 14 Kotlin Loops Lecture 15 Collection - Immutable List Lecture 16 Collection - Mutable List Lecture 17 Collection - Map Lecture 18 Declare a Function with Parameters Lecture 19 Function with Optional Parameters Lecture 20 Lambda Expression - A function without a name Lecture 21 Real implementation of Lambda Lecture 22 Null Safety in Kotlin Lecture 23 Create a Class and Object Lecture 24 Primary Constructor and init block Lecture 25 Validate primary constructor argument Lecture 26 Handle exception with try-catch Lecture 27 The toString method Lecture 28 The equals method Lecture 29 Date class takes care of everything Lecture 30 Inheritance in Kotlin Lecture 31 Necessity of Method Overriding Lecture 32 Abstract Class and Method Lecture 33 Interface in Kotlin Lecture 34 Object and Companion Object Section 3: Welcome to Android Lecture 35 Install Jetbrains Toolbox Lecture 36 Install Android Studio and SDK Lecture 37 Install Virtual Device and SDK Tools Lecture 38 Create your first Android Project Lecture 39 Run our first app on Emulator Lecture 40 Bug fixed with a RESTART Lecture 41 Overview of the starter project Lecture 42 What is a Composable Function Lecture 43 The Preview Composable Function Lecture 44 Create our own Composable Lecture 45 Change Text size and Color Lecture 46 Show Image on Screen Lecture 47 Resize the Image with Modifier Section 4: Layout Composables Lecture 48 Section Overview - What you will learn Lecture 49 Layout Composable - Column Lecture 50 Layout Composable - Row Lecture 51 Layout Composable - Box Lecture 52 First task - Build a Profile Page layout Lecture 53 Profile Page layout solution Lecture 54 The Weight Modifier - Make your layout responsive Lecture 55 Exercise on weight modifier Lecture 56 Exercise Solution on weight modifier Lecture 57 Lazy Column - Show a person list Lecture 58 Column vs LazyColumn Lecture 59 What is Material Design Lecture 60 Material Components - Scaffold Appbar and Floating Action Button Section 5: State in Compose Lecture 61 Section Overview - What you will learn Lecture 62 Prepare the Counter App Project Lecture 63 Imperative vs Declarative Lecture 64 MutableStateOf and Remember Functions Lecture 65 Excercise-A simple Photo Gallery App Lecture 66 Bmi Calculator Overview Lecture 67 Take Input using TextField composable Lecture 68 Bmi Calculator - Reusable Text Field Lecture 69 BMI Calculator - Use the formula Lecture 70 BMI Calculator - Show the reference table Lecture 71 BMI Calculator - Finalize the App Lecture 72 Configuration Change and State Loss Lecture 73 Activity Lifecycle Lecture 74 Lifecycle methods in action Lecture 75 View Model State Holder - An Introduction Lecture 76 Create your first View Model Lecture 77 Add ViewModel Compose Dependency Lecture 78 Modify Counter App with ViewModel Lecture 79 Modify BMI Calculator App with ViewModel Lecture 80 Architecture Principle - Drive UI from Models Lecture 81 Architecture Principle - Single Source of Truth Lecture 82 Download Resource Section 6: Concurrency in Kotlin Lecture 83 Section Overview - What you will learn Lecture 84 What is Synchronous Code Lecture 85 The delay suspend function Lecture 86 The runBlocking function - Block the main thread Lecture 87 Calling multiple suspend functions Lecture 88 Asynchronous Code - Use of launch function Lecture 89 Async - Await pair Lecture 90 Parallel Decomposition Lecture 91 Timer app overview Lecture 92 Timer app UI design Lecture 93 Timer app - Introducing LaunchedEffect Section 7: Project - Weather App Lecture 94 Section Overview - Deal with the REST Lecture 95 Download the full project Lecture 96 Create Project and Add Dependencies Lecture 97 Create sub packages and files Lecture 98 Create App Background Composable Lecture 99 Setup custom font and typography Lecture 100 Weather APIs overview Lecture 101 A brief introduction to RESTFul API Lecture 102 Convert JSON to Kotlin Data class Lecture 103 Create Weather Service API and define methods Lecture 104 Android Architectural Layer overview Lecture 105 Create Weather Repository Lecture 106 Create View Model and connect the repository Lecture 107 Create Weather UI State Lecture 108 Bug fix - Introducing Coroutine Exception Handler Lecture 109 Current Weather - Show location and date Lecture 110 Type mismatch exception - Where it came from Lecture 111 Current Weather Section - Show temperature and icon Lecture 112 Current Weather Section - Last part Lecture 113 Show Forecast Weather List Lecture 114 Add Play Location Service Dependency Lecture 115 Request Runtime Permission Lecture 116 Run app and provide location permission Lecture 117 Importance of monitoring Network State Lecture 118 Create Connectivity Repository Lecture 119 Observe Connectivity StateFlow Lecture 120 Create ViewModel Factory Lecture 121 What is Dependency Injection Lecture 122 Add Hilt Dependencies to our project Lecture 123 Inject dependency to classes Lecture 124 Create Hilt Module and finalize app Section 8: Project - Shopping Events Lecture 125 Section overview - What you will learn Lecture 126 Download the zipped project Lecture 127 Create project and add Room dependencies Lecture 128 Add Hilt Dependency Lecture 129 Add Navigation Compose and Kotlin Serialization dependency Lecture 130 Add sub packages and Application sub class Lecture 131 Create a Reusable Appbar Lecture 132 Create the pages Lecture 133 Show HomePage with NavController and NavHost Lecture 134 Define route objects and composables for each destination Lecture 135 Navigate to a new screen Lecture 136 Create Shopping Event and Item data classes Lecture 137 Create AddEventViewModel and UI States Lecture 138 Add Text Fields to AddEventPage Lecture 139 Show Date Picker Dialog Anyone who wants build his career on Android App development Screenshot Homepage https://www.udemy.com/course/android-compose-essentials-build-android-apps-like-a-pro/ Rapidgator https://rg.to/file/0129fe6cee5c5fca7bb14332abf09f9e/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part10.rar.html https://rg.to/file/0c605848c81cf3a9e76eb199370d032a/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part12.rar.html https://rg.to/file/253ce7159d876f6a8d4b099a3f87fdbb/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part06.rar.html https://rg.to/file/2f5515fdc1996c19da36275245facff0/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part05.rar.html https://rg.to/file/488b4f5bc7ed17649980903795cd0e66/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part08.rar.html https://rg.to/file/53bb3a4442c24011b0e7235d71ec414b/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part14.rar.html https://rg.to/file/7ef490d51b5cce4923b7f1cb6c5e5b51/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part03.rar.html https://rg.to/file/83b43de08c919dda268ccc444888987f/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part11.rar.html https://rg.to/file/8813aa8f17ced7daa0ef352f5dac51af/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part09.rar.html https://rg.to/file/8b773efb1d85653f870d5f2b595b8d4b/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part07.rar.html https://rg.to/file/8ca7efbf851823bc05c3e99d1d30dd0f/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part13.rar.html https://rg.to/file/9007e2e98b2592d1de25654abc8754d7/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part04.rar.html https://rg.to/file/a135ee44e2cfe1587869b2ffc050111a/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part01.rar.html https://rg.to/file/b92e69e42975ed08d484c8e825302fe8/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part15.rar.html https://rg.to/file/c355cbcf2e2f9da37232397c39807032/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part02.rar.html Fikper Free Download https://fikper.com/5qMLSLiCaX/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part10.rar.html https://fikper.com/Cjl9ZEHZkH/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part03.rar.html https://fikper.com/J6oE9gn1oM/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part09.rar.html https://fikper.com/OCzSevmDvS/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part13.rar.html https://fikper.com/OfI8zMnZXc/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part01.rar.html https://fikper.com/VrKCq5kNvE/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part14.rar.html https://fikper.com/dUtMDdPWNc/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part06.rar.html https://fikper.com/doRLJc74gj/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part07.rar.html https://fikper.com/eLm2IyIjN5/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part02.rar.html https://fikper.com/fX6UEgVz5J/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part11.rar.html https://fikper.com/gjCqlu0rkl/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part08.rar.html https://fikper.com/ivyhhhmHvU/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part04.rar.html https://fikper.com/k9Fax5h2YH/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part15.rar.html https://fikper.com/n9zkE5XUSf/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part12.rar.html https://fikper.com/zjChjYxg0W/thpaw.Android.Compose.Essentials..Build.Android.Apps.Like.A.Pro.part05.rar.html No Password - 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Free Download ZerotoMastery - Building AI Apps with the Gemini API Released 7/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lessons ( 3h 44m ) | Size: 584 MB Learn to use Google's Gemini API for building AI-powered applications. Plus you'll put your skills into action by building three projects using the Gemini API. Take your first step into the world of AI application development by diving deep into a fundamental technology: Google's Gemini API. You'll learn everything there is about utilizing the API to power your AI applications with Google's leading Large Language Models. What you'll learn Learn to make API calls with Google's Gemini Pro and Pro Vision AI models for dynamic applications. Understand the nuances of Gemini's multimodal models: Nano, Pro, and Ultra, for versatile AI development. Master Google AI Studio for crafting freeform prompts with variables and parameters, enhancing your AI interactions. Gain insights into Gemini API's generation parameters for fine-tuned control over AI response generation. Dive into practical AI with three projects: develop a conversational AI agent, create an interactive "Talk to an Image" app, and build an AI-powered Image Organizer. Harness prompt engineering techniques and integrate AI into classic applications for next-level development skills. Why Learn To Build with Gemini API? Well the answer is pretty straightforward, actually...this skill puts you at the cutting edge of tech. Picking up the Gemini API means you're learning something truly valuable. It's about more than just adding a line to your CV; it's about having the skills to make and innovate with the latest technology. In this byte-sized course you'll learn to work with Google's Gemini Pro and Pro Vision AI models, get to grips with the different Gemini models (Nano, Pro, and Ultra), and even how to use Google AI Studio for crafting prompts that do exactly what you want. Plus the course is hands-on, meaning you'll actually build your own AI projects! In fact, you'll be building three AI projects. That means by the end of this Gemini API course you'll have projects to add to your AI portfolio and be ready to build your own dream AI applications. Wait... What's a Byte? Bytes are shorter courses that allow you to upgrade your skills and knowledge in a single day! Learning is hard. And sometimes you just need a quick learning fix, right? To learn something awesome, interesting, and relevant to your career goals. That's why we've created Bytes. Homepage https://zerotomastery.io/courses/learn-gemini-api/ TakeFile https://takefile.link/svzxkf5adjg1/ajogi.ZerotoMastery..Building.AI.Apps.with.the.Gemini.API.rar.html Rapidgator https://rg.to/file/5575329b5c9a8ce6d5297593d9f0140a/ajogi.ZerotoMastery..Building.AI.Apps.with.the.Gemini.API.rar.html Fikper Free Download https://fikper.com/qY9kBRbT2w/ajogi.ZerotoMastery..Building.AI.Apps.with.the.Gemini.API.rar No Password - Links are Interchangeable

Free Download Build 5 Augmented Reality Apps with Unity,ConvAI & Vuforia Published 10/2024 Created by PolyPixel Studio MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 35m ) | Size: 1.12 GB Augmented reality (AR) Tutorials on Markerless Tracking, Convai Artificial Intelligence AR, 3D + more with Unity 2024. What you'll learn: Understand different forms of Augmented Reality and their applications Creating an interactive business card using AR Virtual buttons An AR greeting card app, which plays sound, and animation once opened. Placing a life size drone in air using Vuforia Mid Air feature. Understand the basic difference between Virtual Reality & Augmented Reality Understand the basic difference between Virtual Reality & Augmented Reality Setting-up the development environment to design AR applications Select free and compatible 3D models for designing AR applications Understand the potential of augmented reality for businesses Understand the potential of augmented reality for businesses Propose Augmented Reality applications as solutions to real-world problems Build and deploy AR applications to mobile phones Requirements: A Windows or Mac Computer system Android SmartPhone or an iPhone Basic programming knowledge will be of Great help You just need to have the passion and interest to learn new technologies Description: Curious about Augmented Reality, You have come to the right place. Learn the basics fundamentals and programming techniques required for building fully functional Augmented Reality android and iOS apps. For this course you will need an Android Smartphone or iPhone.So what is Augmented Reality?According to Wikipedia, Augmented reality (AR) is a live direct or indirect view of a physical, real-world environment whose elements are "augmented" by computer-generated or extracted real-world sensory input such as sound, video, graphics or GPS data.In Augmented Reality the real view is modified by a computer (Smartphone in this case). Augmented reality (AR) enhances one's current perception of reality, whereas in contrast, virtual reality replaces the real world with a simulated one. Augmentation techniques are basically performed in real time,Eg : Displaying live scores and statistics inside a live video of a sporting eventPower of Augmented RealityI came across Augmented Reality in 2015 after watching a video of Augmented Reality Book. I was fascinated to know that such technology actually exists. So I started researching on different Augmented Reality platform. Vuforia platform seemed very promising as developers all over the World have used Vuforia for developing Augmented Reality apps.Pokemon Go game is the best example of Augmented Reality. Other than that Augmented Reality apps expand over a wide range of topics from Education, Business, Architecture, Health Industry, Home Decoration and obviously mobile gaming.Course Content and OverviewThis course is designed for students interested in creating Augmented Reality apps. No coding experience is required; all you need is an Android or iOS device for testing your Augmented Reality apps. We will start from basics of Unity, C# platform and then move to higher topicsIntro & Basics of Augmented RealityIn the first section you will first understand as to what is Augmented Reality? Next we will look at the four different augmented reality techniques and its application. After this I will explain you what is Virtual Reality and the differences between Augmented Reality (AR) & Virtual Reality (VR)Basics of UnityAfter understanding Augmented Reality next we will look at the basics of Unity as Unity is the main software which we will use for building Augmented Reality apps.Augmented Reality One (ARONE) applicationARONE is the first Augmented Reality Application which you are going to create. In this app you willCreate Vuforia accountCreate License Key for the AR appUpload an Image as Image TargetUnderstand Vuforia Image Recognition systemSolution to White ImageTarget problem in Vuforia version 6.2.10Download 3D model from Unity Asset StorePlace 3D Model on top of Image TargetDownload ARONE app database from Vuforia and activate it inside UnityBuild this app for Android & IosAugmented Reality Book (ARBOOK) applicationIn the ARBook application we will first create few sketches inches a drawing book. Next we will download some 3D Models from the asset store and project the 3D Model on top of each image target.Application like ARBOOK can be implemented in Schools & Colleges for teaching complicated subjects in a fun and easier way.Virtual Button & Augmented Reality Business Card (ARBusinessCard)In this section I will explain first explain you the concept of Virtual Button in Vuforia and the six important factors that should be considered while working with Virtual Button.Next you will create a simple Virtual Button app called AugmentedRealityVirtualButton in which you will understand the important function & interface that are required for working with Virtual Button.After the ARVirtualButton app we will then create and ARBusinessCard. In the ARBusinessCard app you will first place multiple virtual buttons on top of an Image Target. Next I will show you how to play video file inside Unity, After this we will write a C# script to play a particular video when the virtual button for a particular video is pressedAugmented Reality Greeting CardIn this section, you will learn the process of detecting multiple image targets simultaneously at the same time. You will also add an mp3 file in the app that will start playing only when the greeting card is opened.Superimposition based AR | Object tracking -In this section you will first scan a 3D model using Vuforia's 3D scanning android application. Next we will import this model inside Unity and on top of this model we will superimpose a digital car.Cylindrical Object trackingIn this section you will learn the technique for detecting a cylindrical object. After detecting the cylindrical object you will create a beautiful 3D scenic view around the cylinder with the help of airplanes, low poly clouds and low poly terrains.Vuforia Cloud RecognitionIn this section you will understand the working of Vuforia cloud databases. You will create an application called BookInfoAR. This application will scan a book cover(marker) and display information panel beside the book cover. The information of the marker is stored in cloud database.Ground Planes and MidAirIn this section you will create your first markerless augmented reality using Vuforia Ground Plane. With ground plane feature we will place a lifesize Lamborghini model in real world. Next using the MidAir feature we will place a drone in mid air.User Defined TargetIn this section you will understand a feature called User Defined Target feature from the Vuforia Core Sample. With the help of User Defined Target feature we can use any image as an marker.So after explaining you the course content I hope to see you inside this Augmented Reality course Who this course is for: Computer programming students interested in C# programming for building Augmented Reality applications Unity Developers interested in Augmented Reality platforms Anyone who wants to develop their own AR Applications Researchers who are looking forward to create AR apps Teachers who are looking forward to create educational AR apps to uplift their teaching strategies Homepage https://www.udemy.com/course/build-5-augmented-reality-apps-with-unityconvai-vuforia/ Rapidgator https://rg.to/file/282f9618c57a77642aa5df098038f403/eeito.Build.5.Augmented.Reality.Apps.with.UnityConvAI..Vuforia.part1.rar.html https://rg.to/file/5132aaedda0ea51334ef22ec1cc06ba8/eeito.Build.5.Augmented.Reality.Apps.with.UnityConvAI..Vuforia.part2.rar.html Fikper Free Download https://fikper.com/9wEUfhY4Pr/eeito.Build.5.Augmented.Reality.Apps.with.UnityConvAI..Vuforia.part2.rar.html https://fikper.com/M2X3IXzXh7/eeito.Build.5.Augmented.Reality.Apps.with.UnityConvAI..Vuforia.part1.rar.html No Password - Links are Interchangeable

Free Download Takeoff - Building Full-Stack Apps with AI Released 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 34 Lessons ( 8h 4m ) | Size: 1.13 GB Learn how to build full-stack apps with AI. For both beginners and experienced devs. Learn how to build full-stack apps with AI. For both beginners and experienced devs. Homepage https://www.jointakeoff.com/courses/apps-with-ai Rapidgator https://rg.to/file/2a4ee068bfa78f465cad747116231dcd/psucd.Takeoff..Building.FullStack.Apps.with.AI.part2.rar.html https://rg.to/file/431a62f5bfdeba7a8a8658f7411dca96/psucd.Takeoff..Building.FullStack.Apps.with.AI.part1.rar.html Fikper Free Download https://fikper.com/F94FlwvU6J/psucd.Takeoff..Building.FullStack.Apps.with.AI.part2.rar.html https://fikper.com/KhqyBzx8eg/psucd.Takeoff..Building.FullStack.Apps.with.AI.part1.rar.html No Password - Links are Interchangeable

Free Download ChatGPT | ChatGPT Apps: Creating AI Apps with OpenAI API by AI Wizardry Published 9/2024 Created by AI Wizardry MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 16 Lectures ( 1h 58m ) | Size: 1.42 GB ChatGPT 4o | Integrate ChatGPT into Apps | Leverage ChatGPT in Coding |OpenAI API| Learn how to use ChatGPT's OpenAI API What you'll learn: Master ChatGPT integration to build AI-powered applications Create personalized AI-driven tools using OpenAI and ChatGPT's API Engineer efficient prompts for custom tasks, boosting coding productivity Scrape and analyze data from social media platforms like Twitter & LinkedIn Leverage OpenAI and Langchain for advanced text analysis and conversation Develop and deploy AI applications with FastAPI Leverage Playwright and Python asyncio to scrape Twitter & LinkedIn Harness AI tools for data scraping, document embedding, and database creation Create data-driven AI applications with Playwright, OpenAI, and LangChain Supercharge your productivity with AI-powered automation Requirements: Basic Python Knowledge Description: Welcome to the ultimate course on building AI-powered applications using ChatGPT's API, Playwright, and LangChain! Whether you're a busy professional, content creator, aspiring app developer, or experienced coder, this course will equip you with practical AI skills to automate tasks, build apps, and boost your productivity.In this course, you'll dive deep into using AI to transform how you develop applications, scrape data, and optimize workflows. I'll walk you through the entire process, from setting up your development environment to deploying AI-driven apps with real-world impact. No advanced programming skills? No problem! This course is designed for beginners and seasoned developers alike.What You'll Learn:Master ChatGPT Essentials: Learn the core concepts of ChatGPT and how to use its API to build intelligent applications that respond to user inputs.Engineer Efficient Prompts: Unlock the power of prompt engineering to generate high-quality outputs that save time and enhance productivity.Web Scraping with Playwright & Python: Learn how to automate web scraping with Playwright and extract data from platforms like Twitter and LinkedIn using Python Automation with LangChain & AutoGPT: Integrate AI-powered workflows and automation into your applications for seamless performance.Create a GPT-integrated Chrome Extension: Learn to create a chrome extension by using OpenAI's APIDeploy AI Apps with Ease: Learn to deploy your apps using FastAPI, ensuring your projects are ready for the real world.Who Should Take This Course?Busy professionals seeking to automate workflows and increase efficiency using AI.Aspiring app developers with little to no programming experience who want to build intuitive AI-driven applications.Experienced developers looking to enhance productivity and streamline code writing with AI tools.Non-developers eager to build AI-powered apps without learning complex code, using step-by-step, easy-to-follow instructions.Why This Course?This course is packed with hands-on projects, practical insights, and detailed explanations to help you create real-world AI applications. By the end of the course, you will not only have built powerful apps but will also have the knowledge to apply AI in creative and impactful ways.Let's dive into the world of AI app development and make the most of these groundbreaking tools! Who this course is for: Busy developers looking to streamline their daily tasks and automate workflows using AI tools like ChatGPT, Playwright, and LangChain. Aspiring app developers with limited programming knowledge eager to harness AI power for building intuitive, user-friendly applications using ChatGPT's API. Experienced developers aiming to enhance their productivity by integrating AI into their coding routines, including data scraping and chatbot creation. Homepage https://www.udemy.com/course/chatgpt-apps-creating-ai-apps-with-openai/ Rapidgator https://rg.to/file/5853ab9d3e2f98db6c03886f977b237b/ylwib.ChatGPT..ChatGPT.Apps.Creating.AI.Apps.with.OpenAI.API.by.AI.Wizardry.part1.rar.html https://rg.to/file/ba6067ba461afa609ac10f51d74b2af3/ylwib.ChatGPT..ChatGPT.Apps.Creating.AI.Apps.with.OpenAI.API.by.AI.Wizardry.part2.rar.html Fikper Free Download https://fikper.com/MjcHxSk6Mc/ylwib.ChatGPT..ChatGPT.Apps.Creating.AI.Apps.with.OpenAI.API.by.AI.Wizardry.part1.rar.html https://fikper.com/346Sb8hp5s/ylwib.ChatGPT..ChatGPT.Apps.Creating.AI.Apps.with.OpenAI.API.by.AI.Wizardry.part2.rar.html No Password - Links are Interchangeable

Free Download Master Generative Ai - Build Ai Apps - Beginner Friendly Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.40 GB | Duration: 5h 1m Discover how to leverage platforms such as Hugging Face and OpenAI for real-world Generative AI projects, from creative What you'll learn Helps you harness the power of Generative AI to create innovative applications that boost creativity and streamline processes. By the end of the course, you will be proficient in building real-world applications using Generative AI technologies Explore cutting-edge concepts that can be applied to your Generative AI projects Master the foundations and advanced strategies of Generative AI, equipping you to deliver high-impact, AI-powered applications Requirements A little programming / coding knowledge is required Curiosity to learn AI field Description Unlock the Power of Generative AI: Master the Art of Building Revolutionary AI ApplicationsReady to tap into the full potential of Generative AI and reshape the landscape of AI-powered applications? This course is designed to take you from beginner to expert, empowering you with the skills to build innovative AI apps using cutting-edge tools like Hugging Face, LLAMA 2, OpenAI, and Google Gemini Pro.Generative AI Apps and LLM Projects!Engage in hands-on projects that will transform your expertise, including:Project 1: Develop a dynamic question-answering application using the unparalleled capabilities of Generative AI with Hugging Face Spaces, Google Gemini Pro, and OpenAI.Project 2: Build an interactive conversational bot using LangChain and OpenAI, creating personalized and engaging user experiences.Project 3: Create an AI-powered educational app tailored for children, facilitating the discovery of related objects to spark learning and creativity.Project 4: Design a marketing campaign app that leverages AI to craft persuasive sales copy, boosting brand visibility and sales.Project 5: Construct a ChatGPT clone with an advanced summarization feature, offering a versatile and engaging chatbot experience.Course Highlights:Master the power of Generative AI, including cutting-edge technologies like Google Gemini Pro, Hugging Face, and OpenAI.Create scalable AI apps by leveraging LLMs, LangChain, and cognitive data sources.Build modern AI applications with front-ends using Streamlit, all while learning Python and its application in Generative AI.Unlock the limitless potential in your AI projects with real-world applications and hands-on experience that will set you up for success in this rapidly growing field. Overview Section 1: Introduction Lecture 1 Generative AI Introduction Lecture 2 What is LangChain? Lecture 3 Let's understand the LangChain benefits Lecture 4 Guidelines For Source Code Section 2: HuggingFace Introduction Lecture 5 HuggingFace Intro & Access Token Generation Section 3: OpenAI Introduction Lecture 6 What is OpenAI? Lecture 7 OpenAI API Key Generation Section 4: Demo & Working Environment Setup Lecture 8 Project - Implementation Demo Lecture 9 Anaconda Installation Section 5: Langchain - Models Module Concept Lecture 10 LangChain's Modules Overview Section 6: Project #1 - Simple Question & Answer App Lecture 11 LLMs Walkthrough Lecture 12 LLM Practical Implementation using Python Lecture 13 Project Environment Setup Lecture 14 Lets' Build Simple Question Answering Application Section 7: Project #2 - Simple Conversational App Lecture 15 Chat Model Walkthrough Lecture 16 Chat Model Practical Implementation using Python Lecture 17 Let's Build Simple Conversational Application Section 8: Project #3 - Find Similar Things App For Kids Lecture 18 Text Embedding Walkthrough Lecture 19 Text Embeddings Practical Implementation using Python Lecture 20 Embeddings Example using Python Lecture 21 Let's build Similar Words Finder Application Section 9: Langchain - Prompt Module Concept & Implementation Using Python Lecture 22 Prompts Module Introduction Lecture 23 Prompt Template Walkthrough Lecture 24 Example Selectors Walkthrough Lecture 25 Adding More Examples To Input Prompt Lecture 26 Output Parsers Walkthrough Section 10: Project #4 - Marketing Campaign App Lecture 27 Convert Jupyter Notebook to Python Script Lecture 28 Building the App's frontend Lecture 29 Integration of Frontend & Backend Lecture 30 Modularization of Code Lecture 31 Project Source Code Section 11: Langchain - Memory Module Concept Lecture 32 Importance of Memory in LLM powered Apps Lecture 33 Different Types of Memory Lecture 34 Source Code Section 12: Project #5 - ChatGPT Clone with Summarization Option Lecture 35 ChatGPT Clone Demo Lecture 36 Setting up the Project Lecture 37 Implementing the Frontend Lecture 38 Modularizing the Code Lecture 39 Passing Dynamic Data Lecture 40 Implementing Chatbot Conversational View Lecture 41 Conversation Summarization & API key feature Lecture 42 Source Code Anyone who is excited to build AI powered LLM apps using Generative AI tools Homepage https://www.udemy.com/course/master-generative-ai-build-gen-ai-apps-beginner-friendly/ Rapidgator https://rg.to/file/95a545ddc42859b10ec084ae650c5514/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part1.rar.html https://rg.to/file/c3e4a10d4ddb147156cd32e8221b1060/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part2.rar.html https://rg.to/file/cf133d6db003634abf0a866db668d6af/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part3.rar.html https://rg.to/file/31c8eff2ffa958688ba9ff7c31826c3c/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part4.rar.html Fikper Free Download https://fikper.com/MCVnhatI0K/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part1.rar.html https://fikper.com/vZkqjQHHqg/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part2.rar.html https://fikper.com/XDZjk0RFb0/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part3.rar.html https://fikper.com/EF1Zfp3guQ/zdjvp.Master.Generative.Ai..Build.Ai.Apps..Beginner.Friendly.part4.rar.html No Password - Links are Interchangeable

Free Download Maximizing Jira - The Best Apps To Elevate Your Jira Instance Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 815.83 MB | Duration: 1h 3m ScriptRunner, Service Management Extension, and Jira Misc Workflows plugins: A Guide for Beginners and Advanced Users What you'll learn How to leverage top Jira plugins to enhance workflows and functionality. How to install and configure Jira Data Center on a personal device. How to streamline IT service management processes using Jira applications. What ScriptRunner offers, including automation, customization, and powerful use cases. Requirements Basic understanding of Jira, including workflows, issue types, and custom fields. Familiarity with Jira Service Management is helpful but not mandatory. Access to a Jira instance (Data Center) for hands-on practice or at least a device to install Data center on A willingness to explore advanced Jira apps and configurations with an open mind Description Unlock the full potential of Jira with "Maximizing Jira: The Best Apps to Elevate Your Jira Instance." In this course, you will discover essential plugins like ScriptRunner, Service Management Extensions, Jira Misc Workflows, and more that can transform your Jira experience.Whether you're a beginner or an advanced user, this course offers valuable insights into enhancing your Jira setup. You'll learn how to install Jira Data Center on your personal device and explore practical use cases for each plugin, ensuring you can apply what you learn right away.We'll dive into real-world scenarios, showcasing how these plugins can solve common challenges and improve team collaboration. You'll gain tips on best practices for configuration and maintenance, ensuring your Jira instance runs smoothly and efficiently.With ScriptRunner, you'll unlock powerful automation capabilities, enabling you to add post functions, conditions, and validations to your workflows, making them more flexible and robust. You'll also learn how to query Jira's database seamlessly, even without direct access.By the end of this course, you'll understand the different plugins, what they offer, and their use cases. Utilizing all of them effectively will lead to remarkable results, transforming your Jira instance into a powerful project management tool. Join me on this journey to elevate your Jira instance and make it work smarter for you! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Installing Jira Data Center on Your Personal Device Section 2: Top Jira Plugins: Overview and Demo Lecture 3 Extension for Jira Service Management from Deviniti Lecture 4 Extension for Jira Service Management Demo Lecture 5 Scriptrunner for Jira Demo Lecture 6 Jira Misc Workflow Extension Demo Jira administrators looking to enhance their instance with powerful plugins.,IT professionals interested in optimizing Jira for service management.,Developers and system admins wanting to explore advanced Jira configurations.,Anyone seeking to elevate their Jira skills and maximize its potential. Homepage https://www.udemy.com/course/maximizing-jira-the-best-apps-to-elevate-your-jira-instance/ Rapidgator https://rg.to/file/391d8a9da76e27f2d1e63cd86e005533/xfbdp.Maximizing.Jira.The.Best.Apps.To.Elevate.Your.Jira.Instance.rar.html Fikper Free Download https://fikper.com/bbueG6NqHQ/xfbdp.Maximizing.Jira.The.Best.Apps.To.Elevate.Your.Jira.Instance.rar.html No Password - Links are Interchangeable

Free Download Creating Canvas Apps with Power Apps Duration: 3h 3m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 32kHz, 2ch | Size: 483 MB Genre: eLearning | Language: English Canvas apps offer a no-code way to develop rich, responsive business apps, using drag-and-drop functionality and Excel-like expressions. This course will teach you how to develop an end-to-end Power Apps canvas app that leverages Dataverse data. Today more than ever, companies need a way to rapidly develop apps without writing code. Canvas apps enable you to design an interface using drag-and-drop functionality, and work with data and logic using Excel-like expressions. In this course, Creating Canvas Apps with Power Apps, you'll learn to develop an end-to-end canvas app using Power Apps. First, you'll explore setting up a development environment in Power Apps, and then creating the data model in Dataverse. Next, you'll see how to create the canvas app, add screens, forms, UI controls, and use advanced features like formulas, variables and components to interact with the data. Finally, you'll learn how to enable offline capabilities in the app, and then manage it and monitor the app using Power Apps Analytics. When you're finished with this course, you'll have the skills and knowledge of Power Apps canvas apps needed to rapidly develop business applications using Dataverse data. Homepage https://pluralsight.com/courses/creating-canvas-apps-power-apps/ TakeFile https://takefile.link/qmlbae1oqbba/dvnuw.Creating.Canvas.Apps.with.Power.Apps.rar.html Rapidgator https://rg.to/file/8d4655e3b5c54c3af5b2b9d0345421c8/dvnuw.Creating.Canvas.Apps.with.Power.Apps.rar.html No Password - Links are Interchangeable