Learn to build autonomous agents using Python and LangGraph. Includes intensive training on AI-assisted coding in Python.
Schedule
April 25 - May 16, 2026
Duration
4 Weeks • 3hrs/wk
Project
Hands-on capstone
4 practical sections built around live exercises.
Understand the difference between a chatbot, workflow, and tool-using agent.
Topics covered
Hands-on lab
Build a Python agent that can reason about a small task and call a local utility function.
Use graph-based orchestration to keep agents predictable and inspectable.
Topics covered
Hands-on lab
Create a LangGraph workflow with router, worker, and validation nodes.
Give agents useful capabilities while keeping boundaries clear.
Topics covered
Hands-on lab
Add a custom tool and a retrieval step to an agent that answers project-specific questions.
Connect a backend agent to a lightweight web interface.
Topics covered
Hands-on lab
Build a simple Next.js chat interface for a Python-powered agent service.
Concrete capabilities you should leave with.
Design agent workflows with explicit state
Build LangChain and LangGraph agents in Python
Create custom tools with safer contracts
Connect an agent backend to a web UI