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

🔥 Live & Free15 Interactive Labs

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:

89%
Better Reasoning
94%
AI Confidence
🚀 Coming SoonNuclear Engineer's Approach

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."
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Physics-First Approach

Start with fundamental principles from nuclear engineering and thermal hydraulics, then show how they apply to AI systems.

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Hands-On Implementation

Build everything from scratch using interactive Python labs. Understand every line of code and every mathematical operation.

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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
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Nuclear-Grade AI

Consulting

Ready to transform your healthcare AI with nuclear engineering precision?

99.7% VaidyaAI Accuracy | 1000+ Students