Physics-First AI Education
Transform Your Understanding of Artificial Intelligence
Learn AI through the lens of nuclear engineering principles. Master the physics and mathematics that make artificial intelligence actually work in the real world.
Course Portfolio
Interactive Deep Learning
Master neural networks through hands-on coding and physics principles
What You'll Build:
- • Complete XOR neural network from scratch
- • Advanced optimization algorithms
- • Convolutional neural networks
- • Physics-informed neural networks
Student Results:
LLM & GenAI for Healthcare
Build safe, reliable large language models using engineering principles
Course Modules:
- • Engineering principles in LLMs
- • Healthcare-specific applications
- • Physics-informed GenAI
- • VaidyaAI case study implementation
Teaching Philosophy
"I don't just teach AI algorithms—I teach the physics and mathematics that make AI actually work in the real world."
Physics-First Approach
Start with fundamental principles from nuclear engineering and thermal hydraulics, then show how they apply to AI systems.
Hands-On Implementation
Build everything from scratch using interactive Python labs. Understand every line of code and every mathematical operation.
Critical Thinking
Learn to evaluate AI outputs critically, identify failure modes, and understand when AI recommendations might be wrong.
Corporate Training Available
Bring physics-informed AI education to your organization
Request Corporate Training