Learn to use AI coding assistants such as ChatGPT, Claude and GitHub Copilot to scaffold, explain and understand Python — while never trusting a line you have not verified. This is a practical, tool-agnostic course that stresses reading, running and testing AI output, keeping the human in the loop, and the ethics and licensing of AI-generated code.
Watch the free preview
What AI coding assistants are and how they work — free to watch, no account needed.
What you'll learn
- Explain how AI coding assistants generate Python and where they are unreliable
- Write precise prompts that produce correct, testable Python code
- Read and verify AI-generated code by running it and writing tests
- Detect hallucinated APIs, subtle bugs and outdated patterns in AI output
- Apply a trust-but-verify workflow and respect licensing and ethics of AI code
Syllabus
Getting Started with AI Coding Assistants
What AI coding assistants are and how they workFree preview
Writing effective prompts for Python code
Reading & Verifying AI-Generated Code
Reading and understanding AI code
Verifying and testing AI output
When Not to Trust AI — Pitfalls and the Human in the Loop
Common failure modes of AI code
Keeping the human in the loop
Ethics, Licensing and Responsible Use
Licensing and attribution of AI-generated code
Ethics, security and responsible use
Lab — 10 Programming Exercises & Solutions
Programming Exercises 1–5
Programming Exercises 6–10