Module D: AI Product Practice
Add AI features, improve documentation, polish the product, and choose the next engineering direction.
Adding AI to Your App
Use an AI API as a product capability, with clear inputs, outputs, error handling, and cost awareness.
Lab: Connect a model API behind a practical interface.
Prompting for Useful Engineering Output
Learn how to give AI systems enough context, constraints, and verification steps to produce usable engineering help.
Lab: Improve one feature through a verified AI-assisted workflow.
What Makes Professional Documentation
Write a README that explains purpose, setup, usage, architecture, and limitations truthfully.
Lab: Write a complete README with setup and limitations.
Final Polish and Verification
Improve UI, fix defects, and verify that the product behaves as expected before sharing it.
Lab: Run a final defect pass and improve the interface.
Choosing Your Next Engineering Path
Review the full path and decide whether to go deeper into AI, cloud, frontend, backend, product, or research.
Lab: Prepare a portfolio summary and next-path map.