Transformers & Attention Mechanisms¶
Master the revolutionary Transformer architecture and attention mechanisms that power modern AI. Course 04 · Foundations · 10 lessons · ~18h
Lessons¶
| # | Lesson | Duration | Level |
|---|---|---|---|
| 1 | Introduction to Attention Mechanisms | 55 min | intermediate |
| 2 | Self-Attention Mechanism | 55 min | intermediate |
| 3 | Multi-Head Attention | 55 min | intermediate |
| 4 | Positional Encoding | 55 min | intermediate |
| 5 | The Complete Transformer Architecture | 60 min | advanced |
| 6 | Encoder-Decoder Architecture | 55 min | advanced |
| 7 | Training Transformers | 55 min | advanced |
| 8 | Transformer Variants | 55 min | intermediate |
| 9 | Implementing Attention from Scratch | 65 min | advanced |
| 10 | Scaling Laws & Efficient Transformers | 55 min | advanced |
| Start here: Introduction to Attention Mechanisms | |||
| ## Exercises |
Hands-on files: exercises/index.md