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AI Agents in LangGraph
Harrison Chase (LangChain) builds an agent from scratch in Python, then rebuilds it in LangGraph with persistence, streaming, and human-in-the-loop. A fast, focused LangGraph intro.
Go to the course on DeepLearning.AI- Provider
- DeepLearning.AI (with LangChain and Tavily)
- Price
- Free
- Certificate
- Paid certificateDeepLearning.AI calls it an accomplishment; it needs Pro.
- Level
- Intermediate
- Time
- 1h 47m
- Format
- Short video course with code notebooks
- Checked
- 2026-11-05
Free for a limited time during the DeepLearning.AI platform beta. The graded quiz and accomplishment need Pro.
01
What you will learn.
- 01Agent from scratch
- 02LangGraph
- 03Agentic search
- 04Persistence and streaming
- 05Human-in-the-loop
02
Before you enroll.
From the course page, checked 2026-11-05.
- Who it is for
- Developers with intermediate Python who want to build more controllable agents with LangGraph.
- You need
- Intermediate Python
- What you build
- An agent built from scratch in Python, then rebuilt in LangGraph
- An essay-writing agent that follows a researcher's workflow
03
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