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00:00 Course Introduction
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Classroom Contents
LangChain Mastery in 2025 - Full 5 Hour Course
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- 1 00:00 Course Introduction
- 2 04:24 CH1 When to Use LangChain
- 3 13:28 CH2 Getting Started
- 4 14:14 Local Course Setup Optional
- 5 17:00 Colab Setup
- 6 18:11 Initializing our OpenAI LLMs
- 7 22:34 LLM Prompting
- 8 28:48 Creating a LLM Chain with LCEL
- 9 33:59 Another Text Generation Pipeline
- 10 37:11 Structured Outputs in LangChain
- 11 41:56 Image Generation in LangChain
- 12 46:59 CH3 LangSmith
- 13 49:36 LangSmith Tracing
- 14 55:45 CH4 Prompts
- 15 01:07:21 Using our LLM with Templates
- 16 01:12:39 Few-shot Prompting
- 17 01:18:56 Chain of Thought Prompting
- 18 01:25:25 CH5 LangChain Chat Memory
- 19 01:29:51 ConversationBufferMemory
- 20 01:38:39 ConversationBufferWindowMemory
- 21 01:47:57 ConversationSummaryMemory
- 22 01:57:33 ConversationSummaryBufferMemory
- 23 02:09:29 CH6 LangChain Agents Intro
- 24 02:16:34 Creating an Agent
- 25 02:20:56 Agent Executor
- 26 02:27:30 Web Search Agent
- 27 02:30:41 CH7 Agent Deep Dive
- 28 02:40:08 Creating an Agent with LCEL
- 29 02:56:40 Building a Custom Agent Executor
- 30 03:05:19 CH8 LCEL
- 31 03:09:14 LCEL Pipe Operator
- 32 03:13:28 LangChain RunnableLambda
- 33 03:18:00 LangChain Runnable Parallel and Passthrough
- 34 03:23:13 CH9 Streaming
- 35 03:29:22 Basic LangChain Streaming
- 36 03:33:29 Streaming with Agents
- 37 03:51:26 Custom Agent and Streaming
- 38 04:00:46 CH10 Capstone
- 39 04:05:25 API Build
- 40 04:12:14 API Token Generator
- 41 04:16:44 Agent Executor in API
- 42 04:34:50 Async SerpAPI Tool
- 43 04:40:53 Running the App
- 44 04:44:49 Course Completion!
