Overview
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