LangChain Mastery in 2025 | Full 5 Hour Course [LangChain v0.3]

Video Description

The Langchain library is a powerful tool for AI engineering, acting as the foundation of the broader LangChain-ecosystem (that is, LangGraph, LangSmith, LangServe, etc). In this course, you'll learn the fundamentals of building with LLMs and the essentials of LangChain — allowing you to build modern agentic systems and potentially move onto other components in the ecosystem such as LangGraph. Quick Links! 📌 All Course Material: https://aurelio.ai/course/langchain ⭐ Course Repo: https://github.com/aurelio-labs/langchain-course 🌟 Build Better Agents + RAG: https://platform.aurelio.ai (use "JBMARCH2025" coupon code for $20 free credits) This course includes 10 chapters, those are: 1️⃣ When to Use LangChain (https://www.aurelio.ai/learn/langchain-when-to-use) Guidelines for when we should use LangChain and what problems the framework does and does not solve. 2️⃣ Getting Started with LangChain (https://www.aurelio.ai/learn/langchain-intro) LangChain is one of the most popular open source libraries for AI Engineers. Here we will introduce the library. 3️⃣ AI Observability with LangSmith (https://www.aurelio.ai/learn/langsmith-intro) An introduction to LangSmith, an observability service for the LangChain-ecosystem. 4️⃣ Prompt Templating and Techniques in LangChain (https://www.aurelio.ai/learn/langchain-prompts) Prompting is a critical part of building AI software. Here we'll learn general prompting techniques and specific LangChain tooling for prompting. 5️⃣ Conversational Memory in LangChain (https://www.aurelio.ai/learn/langchain-conversational-memory) Exploring the various types of conversational memory and best practices for implementing them in LangChain v0.3 and beyond. 6️⃣ Introduction to LangChain Agents (https://www.aurelio.ai/learn/langchain-agents-intro) An introduction to LangChain's agents in v0.3 and up using both traditional and LCEL syntax. 7️⃣ LangChain Agent Executor Deep Dive (https://www.aurelio.ai/learn/langchain-agent-executor) A deep dive into LangChain's Agent Executor, exploring how to build your custom agent execution loop in LangChain v0.3. 8️⃣ LangChain Expression Language (LCEL) (https://www.aurelio.ai/learn/langchain-lcel) An introduction to LangChain's Expression Language (LCEL), the recommended syntax for building agents and chains. 9️⃣ LangChain Streaming and Async (https://www.aurelio.ai/learn/langchain-streaming) All you need to know about streaming and async, allowing us to receive, parse, and send LLM-generated data in real-time. 🔟 Capstone Project: AI Agent App During the capstone project we build a fully fledged AI agent application using everything we've learned so far. It includes agent execution, tool-use, chat memory, streaming, async, LCEL, and more! ----- 💡 Subscribe for Latest Courses and Tutorials: https://www.aurelio.ai/subscribe 👾 Discord: https://discord.gg/c5QtDB9RAP Follow on X: https://x.com/jamescalam Connect on LinkedIn: https://www.linkedin.com/in/jamescalam/ #langchain #artificialintellegence #aiagents #coding #programming 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!