Ages 14–17 · Class 9–12

Python for AI & Data

From print() to your first chatbot.

Python for AI & Data assumes you've finished Python Foundations (or equivalent) and teaches the tools that AI/data work actually uses — pandas DataFrames, simple plots, calling the Lovable AI Gateway, and writing prompts that produce structured output.

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Why it matters

AI is the highest-leverage skill in the 2026 job market.
Students who can call an LLM API have a 2–3x edge in early career.
Direct on-ramp into Drishti Innovations's flagship AI Mastery track.

Who it's for

Class 9–12 students who completed Python Foundations
Future engineers / data analysts / AI builders
Olympiad students wanting a parallel future-skill

Modules

Module 1
Python recap
Refresh print, variables, and lists before data and AI tools.
Module 2
Lists & dicts deep dive
Filter rows, look up labels, and prepare tidy data for charts.
Module 3
Functions for AI
Wrap prompts and formatters in reusable functions before calling an API.
Module 4
Reading CSVs
Open comma-separated mark sheets in Python — the format behind most school data exports.
Module 5
Pandas basics
Think in tables — rows of records before you import the real pandas library on a laptop.
Module 6
Filtering data
Keep only rows that match a rule — passing marks, one subject, one class.
Module 7
Simple plots
Turn numbers into pictures — bar charts help principals spot trends fast.
Module 8
Calling the AI gateway
Apps call an HTTPS endpoint with a prompt — never paste API keys in the browser.
Module 9
Prompt design in code
Build prompts with f-strings and templates — variables make one function work for many classes.
Module 10
Structured outputs
Ask AI to return JSON you can parse — keys like summary, risks, next_steps.
Module 11
Building a chatbot loop
while True + input() = REPL chat — exit on quit, keep history in a list.
Module 12
Capstone prep
Ship Class Data Assistant — CSV in, filtered table + AI summary + chart out.

Capstone

Mini Chatbot or Data Dashboard

Pick one: (a) a chatbot tuned for your school (mascot, rules, FAQs), or (b) a 2-chart data dashboard from a CSV of your choice (e.g., class marks).

Works end-to-end (2 pts)
Code is split into 2+ functions (2 pts)
Handles a bad input / empty result (2 pts)
Reflection: one limitation of your bot/dashboard (2 pts)
Bonus: shared with classmates (2 pts)

Outcomes

Load a CSV with pandas and answer 5 questions about it
Make a bar chart and a line chart
Call the Lovable AI gateway from Python (via a server function)
Build a mini chatbot for your school

FAQ

Do I need to know AI math?

No. We focus on building with AI, not training models from scratch.

Is the AI gateway free for me?

Yes — Drishti Innovations provides the AI gateway with usage caps so students can experiment safely.