Znajdź zawartość

Free Download Udemy - AI Agents Bootcamp - Build with LangChain, RAG, Langflow, GPT Published: 4/2025 Created by: Pragati Kunwer MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 26 Lectures ( 1h 28m ) | Size: 1.34 GB Build real-world AI agents using LangChain, RAG, Langflow, GPT-4, FAISS, CrewAI, AutoGen, LangGraph & vector search What you'll learn Master the fundamentals and advanced concepts of building AI-driven agents with LangChain, Langflow & GPT-4. Design and build AI agents using LangChain, Langflow, and LangGraph to automate complex tasks and workflows. Design, develop, and deploy autonomous AI applications capable of replacing or enhancing SaaS solutions. Integrate custom tools and external APIs like search, calculator, and vector databases to create specialized autonomous agents. Develop retrieval-augmented generation (RAG) systems to enable agents to provide accurate responses using your custom knowledge bases. Deploy robust, production-ready AI workflows with built-in safeguards, human oversight, and structured decision-making to ensure reliability Create multi-agent collaborative systems using frameworks like AutoGen and crewAI for advanced workflow automation. Effectively debug and optimize AI agents to avoid common pitfalls such as looping, hallucinations, and inefficient resource use. Requirements Basic Python programming knowledge is recommended, although key concepts will be explained clearly for beginners. General familiarity with AI concepts beneficial but not required. A laptop or PC with internet access to perform hands-on projects Interest in building practical, real-world AI-driven solutions. Description Welcome to the most complete, real-world course on AI Agents, LangChain, RAG, and Langflow-powered automation - designed for practical, production-level use.Whether you're a developer, data engineer, entrepreneur, or tech enthusiast, this course will help you build and deploy production-grade AI agents that can search, retrieve, reason, and act - using cutting-edge tools like LangChain, Langflow, GPT-4, FAISS, RAG, AutoGen, CrewAI, and LangGraph.What You'll LearnBuild intelligent AI agents using LangChain, Langflow, and GPT-4Create powerful Retrieval-Augmented Generation (RAG) systems for document Q&AUse vector embeddings and FAISS to power semantic searchAutomate workflows with multi-agent systems using AutoGen and CrewAIOrchestrate stateful agents and workflows using LangGraphDeploy scalable agents on AWS, GCP, and AzureHandle hallucinations, improve answer grounding, and trace source documentsMaster tool use, memory systems, and advanced prompt engineeringBuild no-code and low-code pipelines visually using LangflowCreate a monetizable AI portfolio with real-world projectsWhy This Course is DifferentTaught by a Senior Engineering Manager with 18+ years of experience at IBM Watson (California)Combines theory with deep notebook walkthroughs for every conceptCovers everything from beginner basics to advanced RAG, LangGraph, and multi-agent orchestrationIncludes hands-on notebooks, ready-to-use code, and mini-projectsProjects are interview-ready, SaaS-friendly, and resume-enhancingProjects You'll BuildDocument-based AI Q&A Agent using RAG + GPT-4Multi-Agent Chat System using AutoGen + CrewAIVector-based semantic search engine using FAISSWorkflow automation system using LangGraph + LangflowBusiness intelligence bot powered by multi-modal agentsPDF-based contextual AI assistant with embedded tool useWho this course is for Developers & engineers who want to build AI-powered toolsData scientists exploring RAG pipelines, embeddings, and LLMOpsFounders creating AI SaaS products or internal agentsStudents & professionals building job-winning AI portfoliosAnyone curious about how AI agents think, retrieve, and solve problemsNo prior ML or AI experience is required - just curiosity and willingness to build.All code, documents, tools, and workflows are provided. You'll also get access to our complete GitHub repository to follow along with the implementations.What Else is IncludedUdemy's 30-Day Money Back GuaranteeFull lifetime access to all course materialsInstructor support via the Q&A sectionReal-world projects for your portfolio or startup ideaLet's build the future of AI - one agent at a time. Enroll now and start mastering AI Agents today. Who this course is for Developers and software engineers (from beginner to advanced) interested in automating their workflows using AI. Entrepreneurs and tech professionals aiming to innovate, automate, and scale their business processes. AI and tech enthusiasts seeking practical, hands-on experience building and deploying AI-powered autonomous workflows. Anyone curious about using GPT-4, LangChain, and Langflow to automate repetitive tasks and improve productivity. Homepage: https://www.udemy.com/course/ai-agents-bootcamp-build-with-langchain-rag-langflow-gpt/ [b]AusFile[/b] https://ausfile.com/qwl9tzqpdrhc/roeis.AI.Agents.Bootcamp.Build.with.LangChain.RAG.Langflow.GPT.part1.rar.html https://ausfile.com/j6g3q3fnn9db/roeis.AI.Agents.Bootcamp.Build.with.LangChain.RAG.Langflow.GPT.part2.rar.html Rapidgator https://rg.to/file/0d44bb26500457d5fe2a8d20b616ed29/roeis.AI.Agents.Bootcamp.Build.with.LangChain.RAG.Langflow.GPT.part1.rar.html https://rg.to/file/fbe74049779c71519b9afe9cb38601d8/roeis.AI.Agents.Bootcamp.Build.with.LangChain.RAG.Langflow.GPT.part2.rar.html Fikper Free Download https://fikper.com/1OfCjig1dR/roeis.AI.Agents.Bootcamp.Build.with.LangChain.RAG.Langflow.GPT.part1.rar https://fikper.com/3wFPW0mTSA/roeis.AI.Agents.Bootcamp.Build.with.LangChain.RAG.Langflow.GPT.part2.rar No Password - Links are Interchangeable

Free Download Udemy - LangChain Crash Course Published: 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 37m | Size: 222 MB Learn LangChain, its components, and how it can be used with RAG to set up a QA chain for summarizing documents. What you'll learn Learn LangChain from scratch Understand the LangChain workflow Summarize multiple PDF documents with LangChain and RAG Understand chaining in LangChain Get to know the LangChain components with examples Load and parse the PDF documents Split documents into chunks Setup the embedding models Learn to create a vector store from the document chunks Setup a local LLM Learn to create a QA chain Requirements A computer with an Internet You should be able to use a web browser at a beginner level Description Welcome to the LangChain course. LangChain is a framework designed to build applications powered by large language models (LLMs). It provides tools and abstractions to make it easier to integrate LLMs into applications, enabling tasks like question answering, text generation, retrieval-augmented generation (RAG), chatbots, and more.LangChain - Use CasesHere are some of the use cases of LangChain:Question Answering: Build systems that answer questions by retrieving relevant information and generating answers using LLMs.Chatbots: Create conversational agents that can maintain context across interactions.Retrieval-Augmented Generation (RAG): Combine retrieval of relevant documents with text generation for more accurate and context-aware responses.Text Summarization: Generate summaries of long documents or articles.Code Generation: Build tools that generate code based on natural language Descriptions.Personal Assistants: Create virtual assistants that can perform tasks like scheduling, email drafting, or information retrieval.Course LessonsLangChain - Introduction1. LangChain - Introduction, Features, and Use Cases2. What is Chaining in LangChainLangChain - Components3. Components/ Modules of LangChain4. Preprocessing Component of LangChain5. Models Component of LangChain6. Prompts Component of LangChain7. Memory Component of LangChain8. Chains Component of LangChain9. Indexes Component of LangChain10. Agents Component of LangChainLangChain with RAG11. LangChain with RAG - Workflow12. LangChain with RAG - Process13. LangChain with RAG - Final Coding Example Who this course is for Those who want to begin their AI journey Beginner AI Enthusiasts Learn LangChain with RAG Those who want to understand chaining in LangChain Those who want to summarize multiple PDF documents Homepage: https://www.udemy.com/course/langchain-course/ [b]AusFile[/b] https://ausfile.com/9ir4oafs1ihe/klfyi.LangChain.Crash.Course.rar.html Rapidgator https://rg.to/file/80360574dede992002ec03628a3a58ce/klfyi.LangChain.Crash.Course.rar.html Fikper Free Download https://fikper.com/NjkuG7qZbI/klfyi.LangChain.Crash.Course.rar.html No Password - Links are Interchangeable

Free Download Udemy - Langchain Bootcamp 2025 - Learn With 20+ Practical Examples Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.65 GB | Duration: 3h 4m Unlock the Power of LangChain: Develop LLM Applications, Connect APIs, Automate Business Tasks and Marketing Automation! What you'll learn Understand the fundamentals of LangChain and its architecture. Build and manage LLM-powered workflows for real-world applications. Design and deploy AI agents that can perform complex tasks autonomously. Integrate LangChain with APIs, databases, and external tools. Create dynamic workflows with retrieval-augmented generation (RAG). Learn how to use LangChain memory for context-aware applications. Build chatbots for customer support, marketing, or personal projects. Automate repetitive workflows using LangChain's advanced modules. Connect LangChain to vector databases for knowledge-driven applications. Implement advanced error handling to ensure smooth workflows. Use LangChain with Python and OpenAI APIs to create scalable solutions. Master custom API calls and advanced integrations. Solve practical challenges with 20+ hands-on examples and projects. Learn about function calling and integrating LangChain with GPT-4. Build tools like content generators, automated workflows, and intelligent assistants. Requirements Basic Programming Knowledge: Familiarity with Python is helpful but not mandatory. Access to Tools: You'll need an OpenAI API key and a Python environment. A Computer and Internet Connection: For accessing tools and following the tutorials. Description //**Updated January 2025 - "Added Agent Architectures, Memory + Scheduled Tasks in ChatGPT."//**Updated January 2025 - "New Modules on LangChain API Integration and Advanced Error Handling."LangChain is one of the most powerful frameworks revolutionizing how we build and integrate large language models (LLMs) into everyday workflows. Imagine automating complex tasks, building intelligent chatbots, or designing systems that can interact with APIs, databases, and other tools seamlessly. With LangChain, the possibilities are endless-and this course will guide you every step of the way.This LangChain Master Class for Beginners is designed to take you from zero experience to confidently building AI-driven applications. Whether you're creating AI agents, automating workflows, or integrating tools like GPT-4, LangChain simplifies the process while giving you the flexibility to innovate. By the end of the course, you'll have worked on 20+ practical examples that teach you not just the theory, but how to apply LangChain to real-world projects.What sets this course apart is the focus on hands-on learning. Many courses dive into theory without providing actionable steps. Here, you'll actively build projects like intelligent customer support bots, content generators, and data analysis tools. You'll also learn how to integrate LangChain with advanced tools like vector databases, custom APIs, and retrieval-augmented generation (RAG) workflows.This course doesn't just teach you LangChain-it empowers you to build LLM-powered applications that are scalable, practical, and innovative. Whether you're a developer, entrepreneur, or marketer, LangChain will become your go-to tool for creating the next generation of AI applications.What You'll Learn in This CourseLangChain Basics: Understand the core concepts of LangChain, including its architecture, modules, and how it interacts with LLMs.Building AI-Powered Applications: Learn how to create intelligent applications like chatbots, content generators, and more using LangChain.Agent Architectures: Explore how to build and deploy agents that can perform complex tasks autonomously.Memory Management: Master LangChain's memory capabilities to create applications that can retain context and improve over time.API Integration: Learn how to integrate LangChain with external APIs to build dynamic and scalable applications.Error Handling: Discover how to troubleshoot and resolve common issues in LangChain workflows.Real-World Examples: Work on 20+ practical examples, including AI-powered customer support systems, automated content creation tools, and more.This course is packed with actionable insights and hands-on projects to ensure you not only understand the theory but also know how to apply it in real-world scenarios. Developers: Whether you're experienced or just starting, this course will help you integrate LangChain into your AI projects.,Entrepreneurs: Learn how to build AI-driven applications that solve real-world problems and enhance business operations.,Marketers: Automate tasks like content creation, campaign management, and customer support with LangChain.,Freelancers: Add LangChain to your skillset and offer AI-powered solutions to clients.,Small Business Owners: Streamline operations by automating repetitive tasks and building smart tools.,AI Enthusiasts: Explore the practical side of AI and learn how to build intelligent systems with LangChain.,Project Managers: Understand how LangChain can improve team workflows and drive efficiency.,Students: Get hands-on experience in one of the most in-demand AI frameworks today. Homepage: https://www.udemy.com/course/langchain-bootcamp-2025-learn-with-20-practical-examples/ [b]AusFile[/b] https://ausfile.com/i8j7dj77x735/nsgel.Langchain.Bootcamp.2025..Learn.With.20.Practical.Examples.part1.rar.html https://ausfile.com/7tb0ua9nh1gq/nsgel.Langchain.Bootcamp.2025..Learn.With.20.Practical.Examples.part2.rar.html Rapidgator https://rg.to/file/e05a21fc488d151e3436ecec3ac560c2/nsgel.Langchain.Bootcamp.2025..Learn.With.20.Practical.Examples.part1.rar.html https://rg.to/file/1a5b5e5a00e8ac5c4380f67ec8d72e6d/nsgel.Langchain.Bootcamp.2025..Learn.With.20.Practical.Examples.part2.rar.html Fikper Free Download https://fikper.com/573EaZKqjd/nsgel.Langchain.Bootcamp.2025..Learn.With.20.Practical.Examples.part1.rar.html https://fikper.com/rAl6y7nXjo/nsgel.Langchain.Bootcamp.2025..Learn.With.20.Practical.Examples.part2.rar.html No Password - Links are Interchangeable

Free Download Building Generative AI Projects with LLM, Langchain, GAN Published: 3/2025 Created by: Christ Raharja MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 22 Lectures ( 4h 34m ) | Size: 1.8 GB Learn how to build generative AI apps using large language models, langchain, and generative adversarial networks What you'll learn Learn the basic fundamentals of large language model and generative adversarial network, such as getting to know their use cases and understanding how they work Learn how to build legal document analyzer using LLM Learn how to analyze Excel data using LLM Learn how to build AI short story generator using LLM Learn how to build AI code generator using LLM Learn how to build customer support chatbot using LLM Learn how to build report summarizer using LLM Learn how to build AI travel planner using Langchain Learn how to build AI math solver using Langchain Learn how to build AI random face generator using ProGAN Learn how to build random digital art generator using Deep Convolutional GAN Learn how to build generator and discriminator functions Learn how to train and fine tune GAN model Learn how to create user interface using Streamlit and deploy app to Hugging Face Space Learn how to build LLM based apps using Dify AI and Relevance AI Learn how to find AI models in Hugging Face and download dataset from Kaggle Requirements No previous experience in LLM is required Basic knowledge in Python Description Welcome to Building AI Projects with LLM, Langchain, GAN course. This is a comprehensive project based course where you will learn how to develop advanced AI applications using Large Language Models, integrate workflow using Langchain, and generate images using Generative Adversarial Networks. This course is a perfect combination between Python and artificial intelligence, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in generative AI integration. In the introduction session, you will learn the basic fundamentals of large language models and generative adversarial networks, such as getting to know their use cases and understand how they work. Then, in the next section, you will find and download datasets from Kaggle, it is a platform that offers a diverse collection of datasets. Afterward, you will also explore Hugging Face, it is a place where you can access a wide range of ready to use pre-trained models for various AI applications. Once everything is ready, we will start building the AI projects. In the first section, we are going to build a legal document analyzer, where users can upload a PDF file, and AI will extract key information, summarize complex legal texts, and highlight important clauses for quick review. Next, we will develop an Excel data analyzer, enabling users to upload spreadsheets and leverage AI to identify trends, generate insights, and automate data analysis processes. Then after that, we will create an AI short story generator, where users can generate creative and engaging narratives based on simple prompts, making it a useful tool for writers and content creators. Following that, we will build an AI code generator, where users can input natural language Descriptions, and AI will generate structured, functional code snippets, streamlining the coding process. In the next section, we will develop a Q&A customer support chatbot, capable of answering common inquiries based on a given knowledge base, providing automated customer service responses. In addition, we will also create an AI-powered summarizer, designed to condense lengthy articles, research papers, or reports into concise summaries, helping users quickly understand key points. Moving on to LangChain, we will build a travel planner that takes user preferences and generates personalized itineraries, making trip planning easier and more efficient. Then, we will also create a math problem solver that interprets and solves mathematical equations step by step, helping students and professionals understand problem-solving techniques. In the following section, we will create GAN projects, for the first project, we will develop a random face generator, which can create realistic human faces from scratch, demonstrating the power of generative AI in producing lifelike imagery. In the second project, we will build a deep convolutional GAN from scratch by implementing the generator and discriminator functions, defining a loss function, and training the model using an adversarial learning approach to generate realistic images. Once we have built the apps we will conduct testing to make sure the app has been fully functioning and we will also deploy the app. Lastly, at the end of the course, we will build an LLM based app using no code tools like Dify AI and Relevance AI. By using these tools, you will be able to speed up the development process.First of all, before getting into the course, we need to ask ourselves this question, why should we build apps using a large language model? Well, here is my answer, LLMs can be used for analyzing context, automating complex text-based tasks, and generating human-like responses. These technologies not only streamline workflows and accelerate information retrieval but also improve accuracy in text generation and data processing.Whether it's content creation, document analysis, or chat-based interactions, LLMs make AI driven solutions more efficient and accessible.Below are things that you can expect to learn from this course:Learn the basic fundamentals of large language model and generative adversarial network, such as getting to know their use cases and understanding how they workLearn how to find AI models in Hugging Face and download dataset from KaggleLearn how to build legal document analyzer using LLMLearn how to analyze Excel data using LLMLearn how to build AI short story generator using LLMLearn how to build AI code generator using LLMLearn how to build customer support chatbot using LLMLearn how to build report summarizer using LLMLearn how to build AI travel planner using LangchainLearn how to build AI math solver using LangchainLearn how to build AI random face generator using ProGANLearn how to build random digital art generator using Deep Convolutional GANLearn how to build generator and discriminator functionsLearn how to train and fine tune GAN modelLearn how to create user interface using Streamlit and deploy app to Hugging Face SpaceLearn how to build LLM based apps using Dify AI and Relevance AI Who this course is for AI Engineers who are interested in building generative AI apps using LLMs and Langchain Data scientists who are interested in performing data augmentation using GANs Homepage: ?https://www.udemy.com/course/building-generative-ai-projects-with-llm-langchain-gan/ Rapidgator https://rg.to/file/4ca3f1324f27079c83d29e9b9cf28c8f/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part1.rar.html https://rg.to/file/e6742a760f3520a851c745627f0733d0/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part2.rar.html Fikper Free Download https://fikper.com/Z3M8XwCPxv/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part1.rar.html https://fikper.com/tZIF4DaKWz/wtfje.Building.Generative.AI.Projects.with.LLM.Langchain.GAN.part2.rar.html No Password - Links are Interchangeable

Free Download GenAI - Langchain for javascript developers Published 10/2024 Created by Amit Gupta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 13m ) | Size: 1.62 GB Learn Generative AI and Langchain by building real life use cases in javascript/typescript What you'll learn Generative AI technology and building LLM powered applications Langchain with Javascript/Typescript using latest Langchain version Build RAG application using private data Build chatbot application using LLMs Working with different LLMs and LLM providers Langchain: LCEL, chains, retrievers, splitters, output parsers, chat memory, langsmith Solid understand of concepts: embeddings, vector databases, LLM parameters Requirements Basic JavaScript/Typescript knowledge, experience with Nodejs Basic software engineering concepts No machine learning experience is needed Description Welcome to the Generative AI Course for JavaScript Developers! This course is tailored specifically for JavaScript professionals ready to advance their careers in the rapidly growing field of generative AI. While AI and machine learning have traditionally been dominated by Python, generative AI has opened up new possibilities, allowing JavaScript developers to build high-quality, LLM powered applications.Who Should Take This Course? This course is designed for developers and architects with JavaScript and Node.js experience who are eager to build applications powered by large language models (LLMs). You'll learn how to use JavaScript with LangChain to create generative AI applications, mastering core concepts like RAG (retrieval-augmented generation), embeddings, vector databases, and more. By the end, you'll be equipped to develop robust generative AI applications.Course Journey: We start with setting up the development environment, creating basic applications to explore key frameworks. Then, we'll dive into advanced topics, building real-world applications with features like retrievable augmented generation and adding conversational layers with chat history.Key Topics Covered:LangChain with JavaScript/TypeScriptLLMs: Working with top providers like AWS Bedrock, OpenAI, and AnthropicPrompts & PromptTemplatesOutput ParsersChains: Including legacy chains and LCELLLM Parameters: Temp, Top-p, Top-kLangSmithEmbeddings & VectorStores (e.g., Pinecone)RAG (Retrieval Augmentation Generation)Tools: Web crawlers, document loaders, text splittersMemory & Chat HistoryThroughout the course, you'll engage in hands-on exercises and build real-world projects to reinforce each concept, ensuring a solid foundation in generative AI with JavaScript. By course completion, you'll be proficient in using LangChain to develop versatile, high-performance LLM applications.What's Included? This course is also a community experience. With lifetime access, you'll receive:GitHub repositories with complete course codeAccess to an exclusive Discord community for support and discussion on GenAI topicsFree updates and continuous improvements at no extra costDisclaimers:This is not a beginner course; software engineering experience and proficiency in JavaScript are assumed.We will be using the VSCode IDE (though any editor is welcome).Some LLM services may require payment, but we'll utilize free options whenever possible. Who this course is for Javascript developers and architects looking to advance their career with Generative AI technology Engineers that want to learn how to build Generative AI based applications with LangChain Homepage https://www.udemy.com/course/genai-langchain-for-javascript-developers/ Screenshot Rapidgator https://rg.to/file/1449164a6b104ebe0fd469ac8e66a622/blkrx.GenAI..Langchain.for.javascript.developers.part2.rar.html https://rg.to/file/c7b0bae4d7ad6b8599ad827467d9a0c8/blkrx.GenAI..Langchain.for.javascript.developers.part1.rar.html Fikper Free Download https://fikper.com/Xp6QDibeze/blkrx.GenAI..Langchain.for.javascript.developers.part2.rar.html https://fikper.com/sR5fMJ3nB3/blkrx.GenAI..Langchain.for.javascript.developers.part1.rar.html No Password - Links are Interchangeable

Free Download Level up LLM applications development with LangChain and OpenAI Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Beginner + Intermediate | Genre: eLearning | Language: English + srt | Duration: 3h 52m | Size: 656 MB Dive into the world of large language models (LLMs) with a focus on integrating them into practical applications utilizing OpenAI APIs. Discover how to enhance LLMs with retrieval components, deploy interactive chat applications, and construct multi-retriever agents for advanced data handling. Join instructor Sandy Ludosky to gain the skills to create intelligent agents capable of performing complex tasks, from semantic searches to question-answering chatbots, significantly enhancing user experiences. Whether you're aiming to innovate in your current role or embark on new AI projects, this course provides the foundational knowledge and practical skills needed to harness the power of LLMs effectively. Homepage https://www.linkedin.com/learning/level-up-llm-applications-development-with-langchain-and-openai TakeFile https://takefile.link/c0x8hlei5l18/bowlt.Level.up.LLM.applications.development.with.LangChain.and.OpenAI.rar.html Rapidgator https://rg.to/file/7a56d572fa1de6b884a75d07e5eee780/bowlt.Level.up.LLM.applications.development.with.LangChain.and.OpenAI.rar.html Fikper Free Download https://fikper.com/h2kFd6M4hX/bowlt.Level.up.LLM.applications.development.with.LangChain.and.OpenAI.rar.html No Password - Links are Interchangeable

Free Download Build Chat Applications with OpenAI and LangChain Published 9/2024 Duration: 5h8m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 3.13 GB Genre: eLearning | Language: English Gain cutting-edge AI skills: Master the LangChain framework to build and deploy real-world AI applications What you'll learn Master LangChain to seamlessly integrate existing applications with potent Large Language Models (LLMs) Learn to connect to OpenAI's language and embedding models Develop prompt engineering skills that improve performance and relevance of AI responses Apply the state-of-the-art Retrieval Augmented Generation (RAG) technique to empower your AI-driven product with a knowledge base Leverage AI to open up endless opportunities for your organization Enhance your career prospects with rare and highly sought-after AI Engineering skills Requirements Intermediate Python coding skills are required You need to have Jupyter Notebook up and running Description Are you an aspiring AI engineer excited to integrate AI into your product? Are you thrilled about the breakthroughs in the field of AI? Or maybe you're eager to learn this new and exciting LangChain framework everyone's talking about. If yes, then you've come to the right place! Why should you consider taking this LangChain course? In this Build Chat Applications with OpenAI and LangChain course, we'll explore the increasingly popular LangChain Python library to develop engaging chatbot applications. With detailed, step-by-step guidance, you will use OpenAI's API key to access their powerful large language models (LLMs). Once we have access to foundational models, we'll utilize LangChain and its integrations to create compelling prompts, add memory, input external data, and link it to third-party tools. LangChain's integration with third-party tools distinguishes it by enabling connections to various language models and loading documents in multiple formats. It also allows for selecting suitable embedding models, storing embeddings in a vector store, and linking to search engines, code interpreters, and tools like Wikipedia, GitHub, Gmail, and more. None of this would be possible without mastering the LangChain Expression Language (LCEL)-essential for developing stateful, context-aware reasoning chatbots. These chatbots remember past conversations, answer questions about unseen data, and tackle more complex problems. Additionally, we'll spend much of our time discussing the state-of-the-art Retrieval Augmented Generation (RAG), both theoretically and practically. This technique allows LLM-powered applications to analyze and answer questions about information outside their training data. Ultimately, we'll create a chatbot that answers students' questions on courses from the 365 library. What skills do you gain? - Integrate existing applications with powerful LLMs. - Connect to OpenAI's language and embedding models using an OpenAI API key. - Develop prompt engineering techniques to enhance AI response performance and relevance. - Implement RAG to enrich your AI-driven product with a knowledge base. - Master the LCEL protocol-essential for developing applications with the LangChain Python library. - Connect external tools to your LLM-powered application. - Understand the mechanics behind agents and agent executors. Enhance your career prospects with rare and highly sought-after AI Engineering skills by enrolling in this LangChain and OpenAI course. Click 'Buy Now' and acquire real-world AI engineer skills today! Who this course is for Aspiring AI engineers Everyone who is serious about integrating AI into their product Homepage https://www.udemy.com/course/build-chat-applications-with-openai-and-langchain Rapidgator https://rg.to/file/25c378c3d3ade92a0ffb05519e7c8378/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part1.rar.html https://rg.to/file/1534386837d5280543df0aeb5e22ead6/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part2.rar.html https://rg.to/file/55165a9c3b41a84e603ade2a3c63881f/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part3.rar.html https://rg.to/file/ad62301f18753e9f138222a5eee1908b/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part4.rar.html Fikper Free Download https://fikper.com/FjG2hCUTLO/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part1.rar.html https://fikper.com/I4xE4STwxt/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part2.rar.html https://fikper.com/yRqInz75mk/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part3.rar.html https://fikper.com/GHw1kMKlxz/fctdm.Build.Chat.Applications.with.OpenAI.and.LangChain.part4.rar.html