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Build an AI Agent in Python

Build an LLM-powered command-line program capable of reading, updating, and running Python code using the Gemini API. Learn how LLMs and agentic coding tools work.

What will you learn?

Write a toy agentic code editor in Python, similar to Claude Code or Cursor's Agent Mode. Understand how agents work from scratch by using the Google Gemini API to create an LLM-powered code agent. You'll use function calling and feedback loops to build an agent that can find and fix bugs in a real project!

Chapter List

1
LLMs
Learn how LLMs work and send prompts to the Gemini API using the Python client library
2
Functions
Write the functions your AI agent will need to modify files and run Python code
3
Function Calling
Give your AI agent the ability to call functions based on its system prompt and context window
4
Agents
Give your tool a proper feedback loop to make it truly "agentic" and fix a real bug

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Mediocrity doesn't cut it anymore

The only way to become a great developer is to write a lot of code

Avoid tutorial hell

by writing a ton of code

Stay motivated with

a game-like curriculum

Build portfolio projects

to prove your skills

Delve deeper

into foundational concepts

Learn flexibly online

without interrupting your life

For 1% the price of college

to minimize your financial risk

Frequently asked Questions

Got questions? We've got answers

Yes! It's free to create an account and start learning. You'll get all the immersive and interactive features for free for a few chapters. After that, if you still haven't paid for a membership, you'll be in read-only (content only) mode.