Coming July 2026

Python for AI

A 25-session Python course built for AI work. From syntax to NumPy, Pandas, and your first API integration with a language model.

A student in a live 1-on-1 AI session with their IIT graduate mentor
LIVE 1-ON-1 SESSION
25 sessions
25
Sessions
IIT graduate mentors
IIT
Graduate mentors
Grades 5 to 12 welcome
5โ€“12
Grades welcome
Capstone research paper
Capstone
Research paper
BY THE END OF THE COURSE

What every student can do.

Read, write, and debug Python code

At a working developer level โ€” not just syntax, but the ability to fix code when it breaks.

Use NumPy and Pandas for real data

Load, clean, and analyse structured datasets the way working engineers do.

Build and call REST APIs

Including calling language models programmatically and chaining multi-turn conversations.

Train and evaluate a real ML model

Using scikit-learn on a real dataset, with proper data splits and failure analysis.

Ship projects to GitHub

Version control, clean environments, and public code that other people can actually run.

THE MENTORS

CS graduates of IIT, BITS and IIIT.

Fewer than 3 in 100 applicants are selected.

Swarnava

Foundations and CS Specialist

"You can't build AI you don't understand. My job is to make the maths underneath it feel obvious - not intimidating."
  • ๐Ÿ“–Mathematical foundations for ML - probability, statistics, logical reasoning
  • โญ14 years of teaching experience
  • ๐ŸŽ“M.Sc. Mathematics & Statistics, IIT Guwahati
Koutheesh

Programming & Applied AI Specialist

"Students learn AI fastest when they're building something real with it. We start writing code on day one."
  • ๐Ÿ“–Python, Java, data structures & introductory machine learning
  • โญ10+ years of EdTech experience
  • ๐ŸŽ“M.E. Electronics
Prasanth

Programming & AI Engineering Specialist

"Real industry experience changes how you teach. I show students how AI is actually built, not just how it's described."
  • ๐Ÿ“–Python, Java, C++ - algorithms, data processing & ML models
  • โญ7+ years' experience ยท backend & API development
  • ๐ŸŽ“M.S. Computer Science
The curriculum

6 modules, 25 sessions

Module
What you cover
Duration
Sessions
01
Data Inspector
Load a real dataset with Pandas. Explore shape, missing values, and key distributions.
6 hrs
1โ€“6
02
Text Analyser
Build a script that ingests text and outputs structured analysis using Python and one external library.
4 hrs
6โ€“10
03
API Conversation
Write Python that calls a language model API and chains a multi-turn conversation with state.
4 hrs
10โ€“14
04
Mini Classifier
Train and evaluate a classifier with scikit-learn. Document accuracy, confusion matrix, and failure modes.
4 hrs
14โ€“18
05
Data Pipeline
Build an end-to-end pipeline: pull data, transform it, run through an AI tool, ship to GitHub.
4 hrs
18โ€“22
06
Capstone Project
Capstone Project
Design, build, test, and defend one complete Python project in front of the mentor.
3 hrs
22โ€“25
Sessions 22โ€“25

Your child finishes with a complete Python project

In the final four sessions, they design a real problem, build a Python solution, test it, and defend it live. A finished project they can put on a college application.

  • 6 projects
  • 25 sessions
  • Live defence
What's in the paper
  1. Data Inspector
  2. Text Analyser
  3. API Conversation
  4. Mini Classifier
  5. Data Pipeline
  6. Capstone Project
TUITION

The Course Fee.

25 private 1-on-1 sessions with an IIT graduate mentor.

Python for AI
USD
INR
AED
$1,000

for the full 25-session course

$40 per 1-on-1 session ยท 25 sessions total

  • Personalised 1-on-1 mentorshipย across all 25 sessions.
  • Original AI research paperย published under your child's name.
  • Capstone projectย defended live in the final session.
  • Parent progress updatesย throughout the course.
Book a free trial โ†’or WhatsApp us โ†’

No card required. The trial is always free.