Preparing your workspace
Mathematical Foundations
1 modules · 3 lessons
Scaled Dot-Product Attention
1 modules · 3 lessons
Multi-Head Attention
1 modules · 3 lessons
The Full Architecture
1 modules · 3 lessons
Training the Transformer
1 modules · 3 lessons
Module 1: Linear Algebra for Attention
Module 1: The Attention Formula
Module 1: Heads, Projection, Cross-Attention
Module 1: Encoder and Decoder Stacks
Module 1: Training Dynamics
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The mathematics and architecture of the Transformer. Scaled dot-product attention, multi-head projections, residual connections, and training dynamics for engineers and practitioners.
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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