Free Self-Paced Course

Artificial Intelligence Engineering

11 Weeks · 307 Pages · Computer Science — Artificial Intelligence

This free, self-paced course provides a structured 11-week syllabus for learning AI Engineering. Each module builds on the previous one, guiding you from foundational concepts through advanced topics with 307 pages of in-depth reading material. All content is drawn from our comprehensive AI Engineering textbook, organized into a clear weekly schedule that you can follow at your own pace.

Modules

307

Pages

Self-Paced

Free

Always Free

Weekly Syllabus

1 Front Matter

2 Part I: Mathematical and Computational Foundations

3 Part II: Machine Learning Fundamentals

4 Part III: Deep Learning Foundations

5 Part IV: Attention, Transformers, and Language Models

6 Part V: Beyond Text — Multimodal and Generative AI

7 Part VI: AI Systems Engineering

8 Part VII: Advanced and Emerging Topics

9 Part VIII: The Frontier

10 Part IX: Capstone Projects

11 Appendices

How to Use This Syllabus

Read at your own pace. Each module is designed for roughly one week of study, but there are no deadlines. Spend as much time as you need on each topic.
Follow in order or jump around. The modules are arranged sequentially for a structured learning path, but feel free to skip to any topic that interests you most.
No sign-up needed. Every page in this syllabus links directly to free, open-access content. Just click a topic and start reading immediately.

Ready to Start Learning?

Access the full AI Engineering textbook with all chapters, examples, and exercises.

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