Google Cloud GAIL Certification

Study notes for the Google Cloud Generative AI Leader (GAIL) certification, based on the “Generative AI Leader (ILT)” course — one page per module.

• Module 1: Beyond the Chatbot — generative AI fundamentals — what gen AI is, foundation models, prompting, Google’s gen AI ecosystem, and augmentation vs. automation.
• Module 2: Unlock Foundational Concepts — core AI/ML/DL definitions, data quality and types, ML lifecycle, foundation model limitations, secure and responsible AI, and legal implications.
• Module 3: Navigate the Landscape — the five-layer gen AI stack (Applications, Agents, Platform, Models, Infrastructure), agent categories, Google Cloud’s MLOps tooling, cost, and solution selection.
• Module 4: Gen AI Apps — Transform Your Work — prompting techniques (zero/one/few-shot, role prompting, RAG), Google Workspace with Gemini, Gemini surfaces (Advanced, Gems, Notebook), and Gemini for Google Cloud.
• Module 5: Gen AI Agents — Transform Your Organization — agent architecture (foundation model, tools, reasoning loop), CoT/ReAct, RAG, Google Cloud agent tooling, and planning org-wide gen AI transformation.