Enrolling Now

Python for AI

A 30-session, hands-on program that takes students from Python fundamentals to building, deploying, and showcasing real AI applications โ€” across data science, machine learning, Language AI, Vision AI, and modern AI APIs.

A student in a live 1-on-1 AI session with their IIT graduate mentor
LIVE 1-ON-1 SESSION
25 sessions
30
Sessions
IIT graduate mentors
IIT
Graduate mentors
Grades 5 to 12 welcome
5โ€“12
Grades welcome
Capstone research paper
Capstone
Portfolio project
BY THE END OF THE COURSE

What every student can do.

Write and build with Python

Build reliable Python programs using data structures, control flow, functions, modules, error handling, debugging, and reusable code.

Work with real-world data

Load, clean, transform, visualize, and explore datasets using NumPy and Pandas, preparing data for machine learning.

Build and evaluate machine learning models

Use scikit-learn to build regression, classification, and clustering solutions, evaluate their performance, and improve model results.

Build Language and Vision AI applications

Work with real-world text and images using transformer models, spaCy, OpenCV, and modern AI models to build language and vision applications.

Integrate, deploy and showcase AI projects

Connect Python applications to APIs and foundation models, build and deploy interactive applications with Gradio and Hugging Face Spaces, manage projects with GitHub, and graduate with a portfolio of real AI projects.

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

7 modules, 30 sessions

Module
What you cover
Duration
Sessions
01
Python Foundations for AI
Learn Python fundamentals, data structures, control flow, functions, debugging, error handling, and working with real-world files. Build reusable Python programs and establish your GitHub workflow.
6 hrs
1โ€“6
02
Applied Data Science for AI
Work with real datasets using NumPy and Pandas. Clean, transform, visualize, and explore data while learning feature engineering and preparing machine-learning-ready datasets.
5 hrs
7โ€“11
03
Applied Machine Learning
Train and evaluate regression, classification, and clustering models with scikit-learn. Compare models, tune performance, understand feature importance, and combine multiple ML approaches into a complete AI solution.
5 hrs
12โ€“16
04
Language AI with Python
Process real-world text with spaCy and explore modern transformer models with Hugging Face. Build multi-task language AI systems for sentiment analysis, entity extraction, summarization, and question answering.
3 hrs
17โ€“19
05
Vision AI with Python
Process images with OpenCV and NumPy, then use modern AI models such as YOLO for image understanding and object detection. Build and deploy a complete vision AI application.
3 hrs
20โ€“22
06
APIs & AI Integration
Connect Python applications to real-world APIs and foundation models such as OpenAI and Gemini. Build AI-powered workflows, integrate data sources, create interactive applications, and deploy them publicly.
5 hrs
23โ€“27
07
Capstone Project
Synthesize everything you've learned into one complete AI application. Design the architecture, build and test the solution, deploy it, document it professionally, and present it as a portfolio-ready project.
3 hrs
28โ€“30
Sessions 28โ€“30

Your child finishes with a complete AI project

In the final three sessions, they design an AI solution, build and refine the application, test it, deploy it, document it, and present it live.

  • 6 portfolio projects
  • 30 sessions
  • Live deployment
  • Live presentation
What they build
  1. Sports Analytics Dashboard
  2. ML Health Assessment
  3. AI-Powered Customer Intelligence
  4. Vision AI Image Intelligence
  5. AI Study Assistant
  6. Build your Own LLM
TUITION

The Course Fee.

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

Python for AI
USD
INR
AED
$1,000

for the full 30-session course

$33 per 1-on-1 session ยท 30 sessions total

  • Personalised 1-on-1 mentorshipย across all sessions.
  • Original AI capstone project
    ย 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.