Module 2 of 2 in Building Integrated AI Services with LangChain & LangGraph

AI Agents with LangGraph

Nov 12 2024, Python 3.12, LangGraph 0.2.x, JupyterLab 4.2.4
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Explore the development of AI Agents using LangGraph. You will learn to create agents capable of taking actions through integrations with other systems, moving beyond simple content generation to more complex, interactive AI apps. By Jonathan Sande.

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EXPERIENCE
Beginner level
EST TIME TO COMPLETE
2 hrs, 22 mins
CONTENT
5 lessons
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Module outcomes

  • Construct a basic AI agent using function calling in the OpenAI API
  • Design a complex AI agent using LangGraph, incorporating one or more features such as memory, structured output, and human-in-the-loop interactions.
  • Analyze the performance and limitations of AI agents in solving multi-step, real-world tasks.

Covered concepts

  • AI Agents
  • LangGraph
  • OpenAI API

Module content

1
Introduction to AI Agents & Function Calling Lesson (16 mins)

Learn what an AI Agent is and how to make one.

 Start
Introduction • Start Reading · 1 min
AI Agents Reading · 10 mins
AI Agent Translation Demo Video · 5 mins
Conclusion Reading · 1 min
Quiz: AI Agents & Functions 6 questions
2
Fundamentals of LangGraph Lesson (21 mins)

Learn the differences between LangChain and LangGraph. Then delve into state machines and graph data structures.

 Start
Introduction • Start Reading · 1 min
Graphs Reading · 8 mins
Graphs Demo Video · 3 mins
State Reading · 2 mins
State Demo Video · 4 mins
Project Demo Video · 3 mins
Conclusion Reading · 1 min
Quiz: Understanding LangGraph 6 questions
3
Building Complex AI Agents Lesson (42 mins)

Learn how to incorporate decision making into the LangGraph workflow.

 Start
Introduction • Start Reading · 1 min
Decision Making & AI Agent Architecture Reading · 8 mins
Decision Making Demo Video · 6 mins
Tools Reading · 4 mins
Tools Demo Video · 10 mins
Localizer Project Reading · 2 mins
Localizer Project Demo Video · 12 mins
Conclusion Reading · 1 min
Quiz: Complex AI Agents 6 questions
4
Enhancing Agent Capabilities Lesson (39 mins)

Build enhanced AI agents with memory, structured output and human-in-the-loop interactions.

 Start
Introduction • Start Reading · 1 min
Memory Reading · 5 mins
Memory Demo Video · 5 mins
Structured Output Reading · 2 mins
Structured Output Demo Video · 4 mins
Human-in-the-Loop Reading · 2 mins
Human-in-the-Loop Demo Video · 7 mins
Localizer Project Reading · 3 mins
Localizer Project Demo Video · 9 mins
Conclusion Reading · 1 min
Quiz: Enhancing Agent Capabilities 6 questions
5
Evaluating & Optimizing AI Agents Lesson (23 mins)

Learn to assess, monitor and improve an AI agent.

 Start
Introduction • Start Reading · 1 min
Assessing AI Agents Reading · 6 mins
Monitoring Agent Behavior Reading · 4 mins
Making Improvements to AI Agents Reading · 6 mins
Monitoring & Debugging Demo Video · 6 mins
Conclusion Reading · 1 min
Quiz: Evaluate AI Agents 6 questions