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LangChain Mastery in 2025 - Full 5 Hour Course

James Briggs via YouTube

Overview

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Dive into a comprehensive 5-hour course on mastering the LangChain library, a fundamental tool for AI engineering that serves as the foundation for the broader LangChain ecosystem (LangGraph, LangSmith, LangServe). Learn essential skills for building with Large Language Models (LLMs) and develop the capability to create modern agentic systems. The curriculum spans 10 detailed chapters covering when to use LangChain, getting started with the framework, AI observability with LangSmith, prompt templating techniques, conversational memory implementation, agent creation and execution, LangChain Expression Language (LCEL), streaming and async functionality, and culminates in a capstone project building a complete AI agent application. Access all course materials through Aurelio AI's platform, with a supporting GitHub repository containing code examples. Each chapter provides hands-on instruction, from setting up your environment and initializing OpenAI LLMs to creating complex agent systems with streaming capabilities.

Syllabus

00:00 Course Introduction
04:24 CH1 When to Use LangChain
13:28 CH2 Getting Started
14:14 Local Course Setup Optional
17:00 Colab Setup
18:11 Initializing our OpenAI LLMs
22:34 LLM Prompting
28:48 Creating a LLM Chain with LCEL
33:59 Another Text Generation Pipeline
37:11 Structured Outputs in LangChain
41:56 Image Generation in LangChain
46:59 CH3 LangSmith
49:36 LangSmith Tracing
55:45 CH4 Prompts
01:07:21 Using our LLM with Templates
01:12:39 Few-shot Prompting
01:18:56 Chain of Thought Prompting
01:25:25 CH5 LangChain Chat Memory
01:29:51 ConversationBufferMemory
01:38:39 ConversationBufferWindowMemory
01:47:57 ConversationSummaryMemory
01:57:33 ConversationSummaryBufferMemory
02:09:29 CH6 LangChain Agents Intro
02:16:34 Creating an Agent
02:20:56 Agent Executor
02:27:30 Web Search Agent
02:30:41 CH7 Agent Deep Dive
02:40:08 Creating an Agent with LCEL
02:56:40 Building a Custom Agent Executor
03:05:19 CH8 LCEL
03:09:14 LCEL Pipe Operator
03:13:28 LangChain RunnableLambda
03:18:00 LangChain Runnable Parallel and Passthrough
03:23:13 CH9 Streaming
03:29:22 Basic LangChain Streaming
03:33:29 Streaming with Agents
03:51:26 Custom Agent and Streaming
04:00:46 CH10 Capstone
04:05:25 API Build
04:12:14 API Token Generator
04:16:44 Agent Executor in API
04:34:50 Async SerpAPI Tool
04:40:53 Running the App
04:44:49 Course Completion!

Taught by

James Briggs

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