Mastering Agentic AI Systems

Companion material for Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam: a study plan, slides, quizzes, practice exams, curated videos, and code examples across 96 chapters in 10 Parts.

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  • 96chapters in 10 Parts
  • 5certification maps
  • 261embedded videos
  • 48slide decks

The material was written primarily for the NVIDIA NCP-AAI exam. Its breadth also makes it useful preparation for AWS AIP-C01, Databricks Generative AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, and Microsoft AI-102; the certification maps show which chapters matter for each.

If you are studying for one of those exams, teaching a course on agentic AI systems, or building your own curriculum on top of this material, this site is for you.

What is here

Resource Amount Where
Chapters 96 across 10 Parts, 340 study hours allocated Curriculum
Certification maps 5 certifications, chapter by knowledge item (H/M/L/N) Certifications
Chapter quizzes 96 Quizzes & practice exams
Practice exams 10 full-length NCP-AAI tests Quizzes & practice exams
Slide decks 48 Slides
Videos 261 third-party videos embedded under the chapter summaries Videos
Code examples 402 illustrative files, plus 20 more worked examples Code examples
Labs 1 draft lab; the rest are being written Labs
AI study tutor Socratic tutoring protocols and example prompts AI tutor

Where the project is honest about gaps

  • Labs are the biggest gap. Only chapter 8.2B has a lab written to the lab template, and it is still a draft. The other files in labs/archive/ are prose excerpts, not finished exercises.
  • Slides exist for Parts 1–6 only, and not for every chapter in them.
  • Videos for Parts 7–10 are sparse, and many entries elsewhere are search suggestions rather than links. 93 dead or mis-linked entries were removed from videos/ on 2026-09-23 after a link check (see the link check).
  • Numbering differs between the quiz list and the rest of the material from Part 4 onward. The Part pages say where a quiz, deck, or figure set is linked by chapter family rather than by exact ID.

If you can help close any of these gaps, see Contributing.

License

As a work of the United States government, this project is in the public domain within the United States, and its authors also waive copyright and related rights worldwide under CC0 1.0 Universal. See About.