LangChain Crash Course For Beginners 2025 | LangChain V0.3!

Name: LangChain Crash Course For Beginners 2025 | LangChain V0.3!
Rating: 4.6 (12 reviews)

Master LangChain V0.3: Build AI Apps with RAG, Agents & Tools - Complete Modern Development Guide

Created byHarish Neel

Last updated 2/2025

English

What you'll learn

Master the fundamentals of LangChain V0.3, including Chat Models, Prompt Templates, and Chains
Build practical RAG (Retrieval-Augmented Generation) applications with features like text splitting, embedding, and web scraping
Implement and understand different types of Chains including Basic, Parallel, and Branching implementations
Create intelligent agents using LangChain's Agents & Tools framework for advanced AI applications

Course content

6 sections • 29 lectures • 2h 36m total length

Introduction1:27
Discover how to build AI applications with LangChain, creating chatbots, agents, and tools, and automate tasks with blockchain from blockchain basics. Access the GitHub code and join the AI community.
Overview3:08
What is LangChain?2:51
LangChain bridges large language models with the real world, enabling AI to act beyond reasoning. It can access flight and restaurant booking APIs, private databases, emails, and web browsing.
Pre-requisites1:59
Dev Environment Setup3:00

Chat Models - Overview3:15
Chat Models - Setup7:37
Install and import the long chain OpenAI chat model, initialize with GPT-4, and invoke the API; set up API key via dot env, handle balance, and extract content from responses.
Chat Models - Passing Chat History4:23
Chat Models - Alternative LLMs2:55
Chat Models - Real-time Conversation4:29
Implement a real-time chat with a chat model in a terminal, running locally, and manage chat history with system and human messages to preserve conversation context.
Chat Models - Chat History Stored In Cloud8:25

Chains - Overview3:55
Chains - Basic5:00
Chains - Inner Workings8:09
Chains - Sequential Chaining3:14
Learn sequential chaining in LangChain by extending chains with runnables, translation prompts, and output handling, then post generated content to Twitter.
Chains - Parallel Chaining6:59
Trigger one task to start multiple chains that run in parallel, then combine their results. Use a movie critique with plot and characters analysis as a practical example.

Requirements

Basic Python programming knowledge
Basic understanding of API concepts
No prior LangChain or AI experience required

Description

Welcome to the most up-to-date and comprehensive LangChain V0.3 course for 2025! This crash course is carefully designed to take you from basics to building advanced AI applications using the latest LangChain features.

All course code is available in our comprehensive GitHub repository, which includes complete examples, starter templates, and final project code. You'll have lifetime access to these resources to reference during and after the course

In this practical, hands-on course, you'll learn:

How to work with modern Chat Models and create dynamic conversations
Building and customizing Prompt Templates for consistent AI interactions
Implementing various Chain types (Basic, Parallel, Branching) for complex workflows
Creating production-ready RAG (Retrieval-Augmented Generation) applications
Developing intelligent Agents and Tools for automated problem-solving

What makes this course special:

Focused on LangChain V0.3's latest features and best practices
Real-world examples and practical implementations
Comprehensive coverage of RAG applications and web scraping
Step-by-step guidance for building AI agents

By the end of this course, you'll have hands-on experience building modern AI applications using LangChain's latest features. You'll understand how to implement RAG systems, create intelligent agents, and develop production-ready AI applications.

Perfect for developers looking to quickly master LangChain V0.3 with practical, real-world applications. Join now to accelerate your AI development journey!

Whether you're a solo developer or part of a larger team, this course equips you with the skills to leverage LangChain V0.3 effectively. You'll gain confidence in building AI applications that can handle real-world challenges and scale with your needs.

Who this course is for:

Software developers looking to integrate AI capabilities into their applications
Python developers interested in building LLM-powered applications
AI enthusiasts wanting to learn the latest version of LangChain (V0.3)
Developers seeking practical experience with RAG implementations and AI agents

LangChain Crash Course For Beginners 2025 | LangChain V0.3!

What you'll learn

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Course content

Introduction5 lectures • 12min

Chat Models6 lectures • 31min

Prompt Templates1 lecture • 7min

Chains5 lectures • 27min

Retrieval Augmented Generation (RAGs)10 lectures • 53min

Agents & Tools2 lectures • 26min

Requirements

Description

Who this course is for: