LangChain Development Learning Path

LLM Application Development with LangChain

LangChain for LLM Application Development

This course is designed to empower developers, this comprehensive guide provides a practical approach to integrating Langc Chain with OpenAI and effectively using Large Language Models (LL Ms) in Python.In the course's initial phase, you'll gain a robust understanding of what LangChain is, its functionalities and components, and how it synergizes with data sources and LL Ms. We'll briefly dive into understanding LL Ms, their architecture, training process, and various applications. We'll set up your environment with a hands-on installation guide and a 'Hello World' example using Google Colab.Subsequently, we'll explore the LangChain Models, covering different types such as LL Ms, Chat Models, and Embeddings. We'll guide you through loading the OpenAI Chat Model, connecting LangChain to Hugging Face Hub models, and leveraging OpenAI's Text Embeddings.The course advances to the essential aspect of Prompting & Parsing in LangChain, focusing on best practices, delimiters, structured formats, and effective use of examples and Chain of Though Reasoning (CoT).The following sections focus on the concepts of Memory, Chaining, and Indexes in LangChain, enabling you to handle complex interactions with ease. We will study how you can adjust the memory of a chatbot, the significance of Chaining, and the utility of Document Loaders & Vector Stores.Finally, you'll delve into the practical implementation of LangChain Agents, with a demonstration of a simple agent and a walkthrough of building an Arxiv Summarizer Agent.By the end of this course, you'll have become proficient in using LangChain with OpenAI LL Ms in Python, marking a significant leap in your developer journey. Ready to power up your LLM applications? Join us in this comprehensive course!

Learn how to build AI agents and LLM-powered applications that automate tasks and connect tools with ease.In this course, you'll begin with the basics of workflow automation and move step by step into building your own AI-powered agents. You’ll learn how to connect AP Is, integrate powerful tools like OpenAI, Google Gemini, Claude, and build LLM applications using LangChain and other frameworks.This course is designed for both beginners and those with some experience. Whether you're looking to automate daily tasks, explore the potential of generative AI, or build scalable LLM apps, you’ll gain the skills to create powerful AI agents—without needing advanced coding knowledge.What You’ll Learn in This Course:Section 1: Introduction What are AI Agents?What is n8n?What is n8n and What are the Benefits of Using It?Workflows, Automation, AI Agents - What’s the Difference?n8n Pricing Explained: Which Plan Is Right for You?How to Sign in to n8n: Step-by-Step Guide Exploring the n8n User Interface Section 2: Set up Google Credentials in n8n How to Set up Google Credentials in n8n Section 3: Lead Workflow: Auto-Save to Google Sheets, Filter, and Send Emails by Budget Create a trigger in n8n Create an action in n8n Writing Custom Functions in n8n Using Filters in n8n Using the Switch Function in n8n Using the Merge Node in n8n Section 4: Creating an AI Agent to Manage Calendar and Task Automation in n8n Using an AI Agent to Create Events in Google Calendar Using an AI Agent to Get Event Details from Google Calendar</l

Artificial Intelligence is transforming the world — and AI agents are at the heart of that revolution. From virtual assistants and research bots to automated problem-solvers, agents are the next leap beyond simple chatbots. In this hands-on course, you’ll learn step-by-step how to build your own working AI agent using LangChain, Python, and the OpenAI API — no advanced technical experience required.We’ll start from the very beginning. You’ll understand what AI really means, how agents differ from chatbots, and where they’re being used in the real world. Then, you’ll dive into the practical side — setting up your Python environment, installing key tools, and connecting AP Is like OpenAI and SerpAPI to bring intelligence and search power to your creations.Once your setup is complete, we’ll explore the core concepts of LangChain — including chains, agents, prompts, and tools. You’ll learn how to create prompt templates, build your own tools, and finally, connect them all to create an AI agent that can think, search, and respond intelligently. By the end, you’ll not only understand how LangChain works, but also how to build, test, and customize your own AI-powered assistants for real-world use.Whether you’re an aspiring developer, a curious beginner, or an entrepreneur exploring the future of automation, this course gives you the practical foundation you need to start building with confidence.By completing this course, you’ll be able to:Understand the fundamentals of AI and LangChain Set up your development environment from scratch Build and test working AI agents using Python and OpenAI Extend your agents with real-world tools and AP Is Join today, and take your first step toward building intelligent AI agents that can reason, search, and act — all powered by LangChain.

Unlock the Power of AI with LangChain: Learn to Create Revolutionary Language-Based Applications Looking to harness the full potential of AI and revolutionize the world of language-based applications? Look no further than LangChain, the comprehensive course designed to transform you from a novice to an expert in record time.Gen AI apps and LLM projects! Dive into hands-on projects that will shape your expertise, including:Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces,&nbsp; Google Gemini Pro .Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.Project 8: Youtube Script Writing Tool -&nbsp; Effortlessly create compelling You Tube scripts with this user-friendly and efficient script-writing tool.Project 9 - Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them. Project 10 - Automatic Tick

This course contains the use of artificial intelligence Mastering Generative AI with ChatGPT, LangChain, and Agentic AI — The Ultimate Guide to Building Intelligent Workflows and Automation Welcome to "Mastering Generative AI with ChatGPT, LangChain, and Agentic AI" — your comprehensive gateway into the future of artificial intelligence. Whether you're a developer, entrepreneur, data scientist, or tech enthusiast, this course is designed to equip you with cutting-edge skills in Generative AI, enabling you to build intelligent systems, automate workflows, and unlock new levels of productivity.Why This Course?Generative AI is revolutionizing industries — from content creation and customer service to software development and business automation. Tools like ChatGPT, frameworks like LangChain, and emerging paradigms like Agentic AI are at the forefront of this transformation. This course offers a step-by-step, hands-on learning experience that demystifies these technologies and empowers you to use them effectively.What You'll Learn Foundations of Generative AI Understand the core principles, models, and use cases that define this rapidly evolving field.Mastering ChatGPT Learn how to prompt, fine-tune, and integrate ChatGPT into real-world applications for content generation, customer support, and intelligent assistants.LangChain Essentials Build powerful AI chains using LangChain to orchestrate multi-step reasoning, memory, and tool use — ideal for building chatbots, agents, and dynamic workflows.Agentic AI in Action Explore the emerging world of autonomous agents, task planning, and self-directed AI systems. Learn how to build agents that can reason, act, and adapt.Rea

Master LangChain, OpenAI, Llama, Deep Seek and Hugging Face. Learn to Create hands-on generative LLM-powered applications with LangChain. Create powerful web-based front-ends for your LLM Application using Streamlit.By the end of this course, you will have a solid understanding of the fundamentals of LangChain OpenAI, Llama, Deep Seek and Hugging Face. You'll also be able to create modern front-ends using Streamlit in Python.Dive into hands-on projects that will shape your expertise, including:Project 1: Create a Simple Chatbot with Llama 2 and LangChain Project 2: PDF Chat App (GUI) | ChatGPT for Your PDF File - Streamlit Application to chat with your PDF&nbsp;file using LangChain and OpenAI.Project 3: You Tube Script Writing App - Effortlessly create title and script for the You Tube video using LangChain and OpenAI Project 4:&nbsp; MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and OpenAI/ Hugging Face Project 5: Chat with Multiple PDF Documents | Streamlit Application- Chat with your PDF&nbsp;files using LangChain and OpenAI.Project 6: Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them.Project 7: You Tube Video Summarizer - You Tube Video Summarizer, powered by the dynamic duo of LangChain and OpenAI! In this groundbreaking tool, we have harnessed the cutting-edge capabilities of language processing technology to transform the way you consume You Tube content.Project 8: Summarize PDF Using LangChain,&nbsp; OpenAI&nbsp; and Gradio:&nbsp; Summarize PDF files using LangChain and OpenAI&nbsp; and create a sharable web interface using Gradio Project 9: PrivateGPT- Chat with your Files Offline and FreeP

Welcome to “Build Powerful AI Agents: From LangChain to Local LL Ms”, your all-in-one course to become a complete AI Agent Engineer. Whether you’re a developer, data scientist, or AI enthusiast, this course will guide you step-by-step through building intelligent, multimodal, and voice-based AI systems — from the cloud (OpenAI) to local environments (Ollama &amp; MCP).By the end of this course, you’ll gain hands-on experience developing smart, interactive, and deployable AI agents that can think, talk, reason, and adapt — the same way top AI startups do it today.What You’ll Learn Understand how LangChain Agents work and how to integrate them with OpenAI AP Is.Build Voice-based Emotion and Wellness Companions using Whisper &amp; TTS.Create Virtual AI Talking Agents and Copilot Systems that perform autonomous tasks.Implement RAG-powered assistants using LLaMA 3.1 and Pinecone.Learn the basics of PyTorch for deep learning and model training.Explore Hugging Face and GPT models for NLP and dataset customization.Understand MCP (Model Context Protocol) and use FastMCP to connect LL Ms with databases.Master Fine-Tuning techniques and understand the difference between Fine-Tuning vs RAG.Deploy Local LL Ms (like Gemma and Qwen) using Google Colab + Ngrok for free hosting.Hands-on Labs and Implementations Enroll now and become the expert of Generative AI.

This course provides an in-depth exploration into LangChain, a framework pivotal for developing generative AI applications. Now fully updated for LangChain 1.0.x — including LCEL, Lang Graph-based orchestration, the revamped Agents API, and the langchain_classic imports.Aimed at both beginners and experienced practitioners in the AI&nbsp;world, the course starts with the fundamentals, such as the basic usage of the OpenAI API, progressively delving into the more intricate aspects of LangChain.You'll learn about the intricacies of input and output mechanisms in LangChain and how to craft effective prompt templates for OpenAI models. The course takes you through the critical components of LangChain, such as Chains, Callbacks, and Memory, teaching you to create interactive and context-aware AI systems.Midway, the focus shifts to advanced concepts like Retrieval Augmented Generation (RAG) and the creation of Autonomous Agents, enriching your understanding of intelligent system design. Topics like Hybrid Search, Indexing API, and Lang Smith will be covered, highlighting their roles in enhancing the efficiency and functionality of AI applications.Toward the end, the course integrates theory with practical skills, introducing Microservice Architecture in large language model (LLM) applications and the LangChain Expression Language. This ensures not only a theoretical understanding of the concepts but also their practical applications.This course is tailored for individuals with a foundational knowledge of Python, aiming to build or enhance their expertise in AI. The structured curriculum ensures a comprehensive grasp of LangChain, from basic concepts to complex applications, preparing you for the future of generative AI.

This course contains the use of artificial intelligence :)COURSE&nbsp;WAS&nbsp;RE-RECORDED&nbsp;and supports- LangChain Version 1.0+Ideal students are software developers / data scientists / AI/ML EngineersWelcome to the AI Agents with LangChain and Lang Graph Udemy course - Unleashing the Power of Agentic AI!This&nbsp; course is designed to teach you how to QUICKLY&nbsp;harness the power the LangChain &amp; Lang Graph libraries for LLM applications and Agentic AI. This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts .What You’ll Build:&nbsp; No fluff. No toy examples. You’ll build:Search Agent Documentation Helper – A chatbot over Python package docs (and any data you choose), using advanced retrieval and RAG.Slim ChatGPT Code Interpreter – A lightweight code execution assistant.Prompt Engineering Theory Section Introduction to Lang Graph Introduction to Model Context Protocol (MCP)Ice Breaker Agent – An AI agent that searches Google, finds Linked In and Twitter profiles, scrapes public info, and generates personalized icebreakers.The topics covered in this course include:AI Agents Agentic AIAI Engineering LangChain, Lang GraphLLM + GenAI History

Dans ce cours, tu plongeras dans le monde de l'IA générative avec les LL Ms (Large Language Models), en explorant le potentiel de la combinaison de LangChain avec Python. Ce cours complet est conçu pour t'apprendre à exploiter RAPIDEMENT la puissance de la bibliothèque LangChain pour des applications LL Ms. Il te permettra d'acquérir les compétences et les connaissances nécessaires pour développer des solutions LLM de pointe pour une gamme variée de sujets.LangChain est un framework pour faire évoluer les LL Ms comme ChatGPT avec des sources de données externes et des AP Is pour améliorer les capacités. Les composants clés de LangChain, tels que les chaînes, les modèles, les outils et les agents seront présentés, ainsi que la manière de les utiliser pour développer des solutions NLP robustes.&nbsp; Le concept de RAG (Retrieval-Augmented Generation) sera exploré, y compris les processus de stockage et de récupération de l'information. Tu apprendras à mettre en œuvre des magasins vectoriels et à comprendre l'importance des embeddings et la manière de les utiliser efficacement. Nous montrerons également comment utiliser RAG pour interagir avec des documents PDF et des pages web. En outre, tu auras l'occasion d'explorer l'intégration d'agents et d'outils, comme l'utilisation de LLM pour effectuer des recherches sur le web et récupérer des informations récentes.En guise de projet, tu apprendras à créer un chatbot personnalisé qui cherche sur le web et dotée d'une mémoire pour les questions-réponses. De plus, tu appliqueras le RAG pour lire et questionner n'importe quel type de PD Fs.Tu apprendras :Ce qu'est LangChain et comment il élargit ce que les assistants d'IA peuvent exploiter Intégrer LangChain à OpenAI, MistralAI et Hugging Face de m

KI-Agenten sind in aller Munde, doch kaum jemand weiß, was sie sind und noch weniger, wie man sie verwendet. Tools wie CrewAI, Autogen, BabyAGI, LangChain, Lang Graph usw. klingen komplexer, als sie sind.Bist du bereit, die Feinheiten von KI-Agenten zu meistern und ihr volles Potenzial zur Automatisierung von Prozessen und zum Verkauf maßgeschneiderter Lösungen zu nutzen?Dann ist dieser Kurs für dich!Tauche ein in 'KI-Agenten: Automation &amp; Business durch LangChain Apps'—wo du die grundlegenden und fortgeschrittenen Konzepte von KI-Agenten und LL Ms, ihre Architekturen und praktischen Anwendungen erforschen wirst. Verändere dein Verständnis und deine Fähigkeiten, um die Führung in der KI-Revolution zu übernehmen.Dieser Kurs ist perfekt für Entwickler, Datenwissenschaftler, KI-Enthusiasten und alle, die an der Spitze der Technologie von KI-Agenten und LL Ms stehen möchten. Egal ob du KI-Agenten erstellen, deren Automatisierung perfektionieren oder maßgeschneiderte Lösungen verkaufen möchtest, dieser Kurs bietet dir das umfassende Wissen und die praktischen Fähigkeiten, die du benötigst.Was dich in diesem Kurs erwartet:Umfassendes Wissen über KI-Agenten und LL Ms:Grundlagen von KI-Agenten und LL Ms: Einführung in KI-Agenten wie Autogen, LangChain, Lang Graph, Lang Flow, CrewAI, BabyAGI &amp; deren LL Ms (GPT-4o, Claude, Gemini, Llama &amp; mehr).Tools und Techniken: Nutzung von LangChain, Lang Graph und anderen Tools zur Erstellung von KI-Agenten.Function Calling und Vektordatenbanken: Verständnis von Function Calling und der Nutzung von Vektordatenbanken sowie Embedding-Modellen.Erstellung und Einsatz von KI-Agenten:Installation und Nutzung von Flowise mit Node: Schritt-für-Schritt-Anleitungen zur Installation und Nutzung von Flowise.Erstellung und Einsatz von KI-Agenten für verschiedene Aufgaben: Entwicklung von kreativen Schreibern, Social-

Este curso contém uso de inteligência artificial.Estamos vivendo a era da Inteligência Artificial Generativa, mas você sabe o que é IA&nbsp;Generativa e Agentes de IA?E o que vem a ser Large Language Models?E&nbsp;Small Language Models?Como o ChatGPT&nbsp;é capaz de fazer tudo que faz?Como estas tecnologias podem impactar seu trabalho e sua vida?Qual é o impacto ético e social destas tecnologias?Como eu posso usar estas tecnologias a meu favor?Como agentes de IA&nbsp;podem aumentar minha produtividade?Estas são algumas das centenas de dúvidas que muitas pessoas têm em relação a era da IA Generativa e Agentes de IA.Eu sei pois como professor e palestrante sobre IA Generativas, recebo muitas perguntas como essas.Neste curso, busco esclarecer, de forma simples e didática, o que são LL Ms, o que é Inteligência Artificial Generativa, Agentes de IA&nbsp; e a aplicação prática dessas tecnologias.Mas o curso vai além, o curso também explica os principais termos relacionados, em uma linguagem clara e didática.Outro diferencial deste curso é a prática.O&nbsp;curso apresentará e demostrará diversas ferramentas de Inteligência Artificial Generativa, que você pode usar imediatamente, para criar:Texto ImagensVídeos Voz (inclusive como clonar voz)Música Conteúdo Misto (apresentações, páginas web, documentos)Relatórios de Pesquisa Pesquisa AutomatizadaE&nbsp;muito mais!Importante: O curso apresentará diversas ferramentas, mas como um curso introdutório, o objetivo não é mostrar cada detalhe das ferramentas! O&nbsp;curso fará uma demonstração prática, do uso rápido de cada ferramenta, para que você entenda que est