Certification Guides & AI Playbooks
AI eBooks & Exam Guides
Plain-language certification guides from the AI Unraveled podcast. Each guide follows the official exam outline, explains core concepts simply, and includes original practice questions with explanations and a two-week study plan. Below them, practical books on agentic AI and AI strategy by Etienne Noumen, P.Eng.
AI Exam Guides
New
AIF-C01 AWS Certified AI Practitioner Exam Guide (2026)
All 5 domains of the 2026 exam guide (version 1.1), 60 practice questions and a 2-week study plan.
- AI and ML fundamentals, generative AI and AWS services
- Bedrock, RAG, agents, MCP and AgentCore
- Responsible AI, security and governance
- Exam traps in every chapter
AI-901 Azure AI Fundamentals Exam Guide (2026)
Skills measured, Microsoft Foundry hands-on, 65 practice questions and a 2-week study plan.
- Replaces AI-900: what changed
- Responsible AI, models, agents, speech and vision
- Azure Content Understanding
- Exam traps in every chapter
AWS Certified Machine Learning Engineer Associate (MLA-C01) Exam Guide
Study guide for the AWS Machine Learning Engineer Associate exam.
Google Cloud Professional Machine Learning Engineer Certification Guide
Study guide for the Google Cloud Professional ML Engineer exam. The 2026 edition arrives in November.
Google Cloud Generative AI Leader Certification Guide
Study guide for the Google Cloud Generative AI Leader exam. The 2026 edition arrives in November.
Cloud Exam Guides
Microsoft Azure Fundamentals (AZ-900) Complete Exam Guide
Study guide for the Microsoft Azure Fundamentals (AZ-900) exam.
AI Strategy and Agents
The Model Context Protocol: Unifying AI Communication
How MCP connects AI agents to tools and enterprise data.
The Agentic Revolution in Sales: Autonomous AI in Go-to-Market Execution
Autonomous AI agents in sales and go-to-market execution.
The Executive AI Business Audit Prompt Playbook
Curated prompts and frameworks for leaders auditing their business processes with AI.
AI-Proofing Job Interview Success: Crack Any Tech & Corporate Interview
Preparing for tech and corporate interviews in the age of generative and agentic AI.
Coming next in the series
- AI-103: Azure AI Apps and Agents (November 2026)
- Google Cloud Professional Machine Learning Engineer (November 2026)
- Google Cloud Generative AI Leader (November 2026)
- NVIDIA NCA-GENL: Generative AI LLMs (November 2026)
- AWS AIP-C01: Generative AI Developer (November 2026)
Independent publications by Etienne Noumen, P.Eng. Not affiliated with or endorsed by Microsoft, Amazon Web Services, Google or NVIDIA. Practice questions are original and are not actual exam questions.
