This 2026 edition follows the current official exam guide and study guide, in plain business language, for the people the certification is built for: executives, directors, product and program leaders, consultants, and sales and marketing leaders.
• The exam: format, the four sections and their weights, and a full old-to-new name table• Fundamentals of gen AI: foundation models, data quality, the five layers of the gen AI landscape, Gemini, Gemma, Imagen and Veo• Google Cloud's offerings: Gemini Enterprise, Gemini for Google Workspace, Gemini Notebook, Gems, Agent Search, Gemini Enterprise for Customer Experience, Gemini Enterprise Agent Platform, agents and AI APIs• Improving output: limitations, prompt engineering, grounding and RAG, sampling parameters, human in the loop, monitoring• Business strategy: choosing the right solution, measuring impact, Google's Secure AI Framework (SAIF) and responsible AI• The Executive Playbook: a use-case scoring grid, a build-or-buy ladder, a 90-day plan and a board-level scorecard• "Exam trap" boxes in every chapter and an exam-day keyword table• 60 original practice questions, weighted like the exam, with an explanation for every answer• A two-week study plan, a glossary and the official resources
Written by Etienne Noumen, P.Eng., creator of the AI Unraveled podcast and the Djamgatech and AI & ML Tutor exam-prep apps.
Independent publication; not affiliated with or endorsed by Google. Practice questions are original and are not actual exam questions.
Etienne Noumen, P.Eng., is a cloud architect and AI strategist based in Calgary, Alberta. As technical lead for cloud and AI at TC Energy, he builds production systems on AWS, Azure and Esri ArcGIS, including a real-time aviation safety platform for remote pipeline operations. He hosts AI Unraveled, a daily AI podcast with more than 1,200 episodes, founded Djamgatech, which makes certification-prep apps, and has self-published 29 books on AI, cloud certification, football and African culture.