Getting started
A suggested path through the material. Adjust it to your exam date and background.
On this page
The study path
- Check your background. Read Prerequisites and work through its self-assessment. Budget 2–8 weeks of preparation if you are missing essentials.
- Choose your target certification. Open Certifications to see which chapters carry the most weight for your exam. For NCP-AAI, every chapter contributes.
- Read chapter by chapter. Use the Curriculum pages for the overview and the
Study_Plan.mdfor each chapter’s key concepts, self-check questions, and time allocation. The Study Plan describes a 4-month (120-day) intensive schedule and allocates about 340 hours across its chapters. - Check retention. Take each chapter’s quiz from Quizzes & practice exams when you finish it.
- Practice. Work through the code examples for the chapter, and the lab where one exists (coverage is still being built out).
- Take a second pass. Use the slides for a condensed review and the videos, embedded under each chapter summary on the Part pages, for another explanation of the same concept.
- Rehearse the exam. Take the full-length practice exams, and use the AI tutor to work through what you miss.
By goal
| If you are… | Start with |
|---|---|
| Preparing for NCP-AAI | Part 1, then follow the Parts in order; use every chapter |
| Preparing for another certification | Certifications: pick the chapters rated H, then fill gaps from M |
| Teaching a course | The Curriculum pages, slides, and the labs template |
| Looking for depth on a single topic | The Part page for that topic; each chapter row links its slides, quiz, videos, figures, and code |
| Wanting to help | Contributing |
Using the repository directly
Everything on this site is a view onto files in the
repository. The book’s chapter text is not published here; the
Study_Plan.md is the reading guide, and the Part pages link into it chapter by chapter.
Clone the repository if you want the slides, figures, and code offline:
git clone https://github.com/GSA/MasteringAgenticAISystems_supplementals.git
