Theoretical Foundations
1 modules · 3 lessons
Computational Complexity and Efficiency
1 modules · 3 lessons
The Post-2017 Landscape
1 modules · 3 lessons
Implementation at Research Depth
1 modules · 3 lessons
Research Frontiers
1 modules · 3 lessons
Module 1: Attention as Memory
Module 1: Quadratic Complexity and Flash Attention
Module 1: BERT GPT T5 and Beyond
Module 1: Building Transformers from Scratch
Module 1: The Research Frontier
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The Transformer from a researcher perspective. Information theory, computational complexity, Flash Attention, BERT, GPT, T5, and the cutting edge. Think like a Google Brain engineer.
The course has 15 lessons estimated at approximately 4 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.
15 lessons with verified citations, mastery-gated quizzes, AI tutoring with JAX, 30+ interactive learning widgets, and a certificate on completion.
Yes! Try our free demo lesson at drivia.consulting/demo to experience the learning platform before committing.
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