AI Udaan syllabus · Week 2 — Day 5
Python Functions for Reusable AI Code
Functions keep AI code organized. Instead of repeating the same data-cleaning steps, you wrap them once and call them from training scripts, notebooks, and FastAPI endpoints in later modules of AI Udaan.
Functions in real AI projects
You might write `clean_missing_values(df)` or `normalize_features(X)` and reuse them across experiments. Functions also make team code easier to test and debug — important when building portfolio projects for job applications in Nepal.
What comes next in AI Udaan
After functions, Week 2 introduces data thinking, Pandas, NumPy, virtual environments, and Jupyter — the stack you use for the rest of the bootcamp.
Covered in AI Udaan
- Defining and calling functions
- Parameters and return values
- Organizing notebook code into functions
- Bridge to Pandas and NumPy modules
Go deeper with the full bootcamp
This guide is a free overview. AI Udaan is a 16-week mentor-led Python with AI/ML bootcamp — live classes, assignments, projects, certificate, and career support for learners across Nepal.
FAQ
Are functions required before machine learning in AI Udaan?
Yes. Functions are taught in Week 2 before data libraries intensify, so you can structure preprocessing and model evaluation code cleanly.
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