Graduate with
Mastery, Vision &
Real-World Impact.
Not just code. A 3+1 year degree program merging AI Engineering with Entrepreneurship. Built by Engineers & Founders, for future Architects.
Why is The Foundry the right place?
HPC Clusters
Access to High Performance Compute infrastructure for training large models.
Research Labs
Direct mentorship from researchers pushing the boundaries of AI & ML.
Global Standards
Curriculum benchmarked against top AI research institutes like MIT & Stanford.
Rapid Prototyping
Hardware labs equipped for deploying edge AI and robotics applications.
The Program Mix
Academic Sessions (40%)
Where ideas take shape through Structured learning, Discussions and Case Studies.
Start-up Lab (25%)
Where ideas turn into ventures through experimentation and Mentorship.
Industry Exposure (15%)
Masterclasses, Guest Sessions and Workshops that bridge Classroom Learning with real-world insights.
Beyond Academics (10%)
Fueling energy, excellence, and enthusiasm through play.
Student Circles (10%)
Collaborative Spaces/Clubs that spark Creativity, Teamwork and Leadership.
Engineering Skills
That Matter.
An expert doesn't just call APIs. They design systems, optimize kernels, and deploy at scale. Our curriculum creates a full-stack AI engineer.
Education is Evolving.
And it's time we did too.
Textbook Driven
Rote memorization, exams, and theory.
Production Driven
Live code, shipping features, and real users.
Isolated Learning
Knowledge gained in vacuum, rarely applied.
Ecosystem Immersion
Located inside a workspace, rubbing shoulders with founders.
One-Size-Fits-All
Same syllabus for everyone, regardless of pace.
Adaptive Intensity
Bleeding edge tech that evolves every 6 months.
Professor-Centric
Passive recipients of old information.
Builder-Centric
Mentored by CTOs and Architects who ship daily.
From Engineer
To Founder.
The world doesn't just need more code; it needs more solutions. Our optional 4th Year Entrepreneurship Track is designed for students who want to build their own AI ventures.
Incubation & Launch
Don't just build a project. Build a company. Get access to legal, finance, and GTM support.
Venture Capital Access
Pitch your MVP to a panel of real investors and VCs at the end of the year.
The Founder's Track
Year 4 (Optional)
Zero to Architect.
Step by Step.
Build the bedrock. We assume zero prior coding knowledge. By the end of this year, the student is a competent Junior AI Engineer.
Semester 1: The Coding Bootcamp
Logic, Syntax, and The Art of Programming
Discipline Specific Modules (Core Tech)
- Programming Fundamentals: Logic building, Flowcharts, and Python Syntax
- Mathematics for AI - I: Pre-Calculus, Coordinate Geometry, and Basic Linear Algebra (Vectors)
- Computer Fundamentals: How RAM/CPU works, Binary Arithmetic, and Operating Systems basics
- Web Basics: HTML5, CSS3, and Building a Personal Portfolio Website
- Database Introduction: SQL Basics (Select, Insert, Update) with SQLite
Value Added Module (Mindset)
- Critical Thinking: Problem decomposition (How to break a big problem into small steps)
- The Tech Landscape: History of Silicon Valley and AI
Ability Enhancement Module (Tools)
- The Terminal: Basic Linux Commands (cd, ls, grep)
- Version Control: Git & GitHub (Commits, Push/Pull)
Project 1: "The Classic Arcade"
Semester 2: The Junior AI Engineer
Data Intelligence & First Models
Discipline Specific Modules
- Advanced Python: Object Oriented Programming (Classes, Inheritance)
- Data Handling: NumPy & Pandas (Dataframes, cleaning techniques)
- Mathematics for AI - II: Probability Basics (Distributions, Mean/Median/Mode)
- Introduction to Machine Learning: Scikit-Learn basics, Linear Regression, and KNN
- Data Visualization: Matplotlib and Streamlit
Value Added Module
- Data Ethics: Privacy, Bias in Data, and GDPR
Ability Enhancement Module
- Virtual Environments: Managing dependencies with Conda/Venv
- Debugging: Using breakpoints and IDE tools (VS Code)