GenAI Foundations: From NLP to Transformers¶
Build the foundational knowledge needed for modern AI engineering — from prerequisites and NLP basics through the revolutionary Attention mechanism and Transformer architecture that powers today's LLMs. Course 01 · Foundations · 8 lessons · ~15h
Lessons¶
| # | Lesson | Duration | Level |
|---|---|---|---|
| 1 | Prerequisites — What You Need Before Starting | 45 min | beginner |
| 2 | Mathematical Foundations for Deep Learning | 40 min | beginner |
| 3 | NLP Fundamentals — How Computers Process Language | 45 min | beginner |
| 4 | From Word2Vec to Contextual Embeddings | 35 min | intermediate |
| 5 | The Attention Mechanism — "Attention Is All You Need" | 40 min | intermediate |
| 6 | Self-Attention and Multi-Head Attention | 45 min | intermediate |
| 7 | The Complete Transformer Architecture | 50 min | intermediate |
| 8 | From Transformers to Large Language Models | 40 min | intermediate |
| Start here: Prerequisites — What You Need Before Starting |