The Fundamentals Everyone Skips
2 modules · 2 lessons
Modern AI Architecture
2 modules · 2 lessons
Adaptive Intelligence
2 modules · 2 lessons
Module 1: What a Neural Network Actually Does
Module 2: Gradient Descent and Backpropagation
Module 1: The Transformer Revolution
Module 2: How LLMs Work Under the Hood
Module 1: Reinforcement Learning Fundamentals
Module 2: Why Static AI Is a Dead End
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A crash course on the technical gaps that prevent most professionals from understanding AI and machine learning at a meaningful level. Covers neural network fundamentals, transformer architecture, reinforcement learning, adaptive systems, and why traditional education fails to teach these concepts. Built for the H2E Association community.
The course has 6 lessons estimated at approximately 2 hours of learning. You can learn at your own pace.
Yes. When you complete all lessons and pass all quizzes (70%+ score), you earn a verifiable certificate of completion that you can share on LinkedIn.
6 lessons with verified citations, mastery-gated quizzes, AI tutoring with JAX, 30+ interactive learning widgets, and a certificate on completion.
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