Coming November 2026

Multimodal AI

A 25-session course on language and vision systems combined. NLP, computer vision, and the multimodal models that power Claude, Gemini, and GPT-4o.

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
5–12
Grades welcome
Capstone research paper
Capstone
Research paper
BY THE END OF THE COURSE

What every student can do.

Understand how transformers process language

From tokenisation through attention — the mechanics, not just the concept.

Train and audit an image classifier

On a custom dataset, then probe it for bias and the features the model actually learned.

Build a semantic search engine

Using embeddings to find documents by meaning — the primitive behind every modern retrieval system.

Build a working RAG system

Answering real questions from a knowledge base with measurably fewer hallucinations than the base model.

Combine vision and language in one pipeline

Captioning, visual Q&A, OCR — the architecture pattern behind today's frontier models.

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."
  • 📖Mathematical foundations for ML - probability, statistics, logical reasoning
  • 14 years of teaching experience
  • 🎓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."
  • 📖Python, Java, data structures & introductory machine learning
  • 10+ years of EdTech experience
  • 🎓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."
  • 📖Python, Java, C++ - algorithms, data processing & ML models
  • 7+ years' experience · backend & API development
  • 🎓M.S. Computer Science
The curriculum

6 modules, 25 sessions

Module
What you cover
Duration
Sessions
01
Tokens to Attention
Walk through how a transformer processes a sentence. Visualise tokenisation, embeddings, and attention weights.
5 hrs
1–5
02
Image Classifier
Train a vision model on a custom dataset. Document failure modes and what features the model learns.
4 hrs
5–9
03
Semantic Search Engine
Build a search system using embeddings. Index documents, run queries, and tune for relevance.
4 hrs
9–13
04
RAG System
Build a retrieval-augmented generation system. Measure hallucination rates with and without retrieval.
4 hrs
13–17
05
Vision + Language Demo
Combine a vision model and a language model: visual Q&A, captioning, or document OCR.
4 hrs
17–21
06
Capstone Project
Capstone Project
Build one multimodal application end-to-end. Live demo plus written analysis of strengths and failure modes.
4 hrs
21–25
Sessions 21–25

Your child finishes with a multimodal AI application

In the final five sessions, they build one complete multimodal AI application combining language with vision or audio — presented live with a real demo and written analysis of strengths and failure modes.

  • 6 projects
  • 25 sessions
  • Live demo
What's in the paper
  1. Tokens to Attention
  2. Image Classifier
  3. Semantic Search Engine
  4. RAG System
  5. Vision + Language Demo
  6. Capstone Project
TUITION

The Course Fee.

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

Multimodal AI
USD
INR
AED
$1,000

for the full 25-session course

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

  • Personalised 1-on-1 mentorship across all 25 sessions.
  • Original AI research paper published under your child's name.
  • Capstone project defended live in the final session.
  • Parent progress updates throughout the course.
Book a free trial →or WhatsApp us →

No card required. The trial is always free.