4-YEAR JOURNEY
The Curriculum
8 semesters of hands-on learning. Designed by AI researchers. Updated annually.
AI Foundations
Building future AI experts from first principles. Exploring the math, code, and thinking behind an AI-first world.
YEAR 1 OUTCOMES
Python mini projects
Personal static website
ML project with EDA & baseline models
Product go-to-market brief
GitHub profile with structured commits
OOP-based software application
React-based AI product frontend
Open source git projects
Building AI Products
Turn ideas into real AI-powered products. Learn to build what the AI industry actually ships.
YEAR 2 OUTCOMES
Backend service with REST APIs
Database-driven application
Vector search prototype
Advanced ML project
Data pipeline & ETL project
RAG system
Deep learning model training
Finance & unit economics model
Scaling AI Systems
Designing robust AI systems for millions of users and massive data.
YEAR 3 OUTCOMES
Distributed systems
System design case studies
CI/CD pipeline for ML system
GenAI application (LLM / RAG)
Technical design documents
Architecture documents
Autonomous AI & Future Systems
From intelligence to autonomy. Where AI learns to think, act, and adapt.
YEAR 4 OUTCOMES
AI capstone project
Applied RL agent project
Robotics or CUDA project
Entrepreneurship Project
AI Foundations
Building future AI experts from first principles. Exploring the math, code, and thinking behind an AI-first world.
YEAR 1 OUTCOMES
Python mini projects
Personal static website
ML project with EDA & baseline models
Product go-to-market brief
GitHub profile with structured commits
OOP-based software application
React-based AI product frontend
Open source git projects
Building AI Products
Turn ideas into real AI-powered products. Learn to build what the AI industry actually ships.
YEAR 2 OUTCOMES
Backend service with REST APIs
Database-driven application
Vector search prototype
Advanced ML project
Data pipeline & ETL project
RAG system
Deep learning model training
Finance & unit economics model
Scaling AI Systems
Designing robust AI systems for millions of users and massive data.
YEAR 3 OUTCOMES
Distributed systems
System design case studies
CI/CD pipeline for ML system
GenAI application (LLM / RAG)
Technical design documents
Architecture documents
Autonomous AI & Future Systems
From intelligence to autonomy. Where AI learns to think, act, and adapt.
YEAR 4 OUTCOMES
AI capstone project
Applied RL agent project
Robotics or CUDA project