Python for AI — From Scripts to Agent Builders
FreeTH2PR3PNW2A Data/Business Analyst who writes structured Python can grow a 20-line API call into a 200-line agent without it collapsing into chaos.
- Recap of 1.4 fundamentals and what 'structured' adds for AI work
- Principles: small functions, clear names, separation of concerns
- Why structure matters as AI projects grow (prompts, tools, calls stack up)
- Refactor a messy 1.4-style script into named functions
- Compare readability before and after
- Write a short note on one structured-practice rule you'll follow when building AI tools
- Micro-task: submit your note