Cert & Chill

GAIL #11 · Exam Drills: Scenario Questions Across All Four Sections

Covers: Scenario questions across all four sections, product-to-scenario matching, all reflexes Audio generated with AI from personal study notes; not official Google ma

GAIL #10 · Gen AI Strategy, SAIF and Responsible AI: Business First

Covers: Needs and resources before a project, top-down plus bottom-up strategy, measuring impact; SAIF, IAM, Security Command Center; responsible AI, privacy, bias, accou

GAIL #9 · Prompting, RAG and Grounding: Company Facts vs World Facts

Covers: Zero-shot, one-shot, few-shot, role prompting, prompt chaining, chain-of-thought, ReAct, metaprompting; grounding with first-party, third-party and world data; RA

GAIL #8 · Hallucinations and Model Limits: Match the Fix

Covers: Data dependency, knowledge cutoff, bias, fairness, hallucinations, edge cases; grounding, RAG, prompt engineering, fine-tuning, HITL; versioning, drift monitoring

GAIL #7 · Agent Platform and AI Agents: Prototype vs Production

Covers: Agent Platform, Model Garden, Model Builder and AutoML, custom agents, agent components and types (deterministic, generative, hybrid; customer, employee, creative

GAIL #6 · Agent Search, Agent Assist and CX Insights: Who Serves Whom

Covers: Agent Search for websites and enterprise data; Google Search; the customer experience suite: CX Agent Studio (conversational agents), Agent Assist, CX Insights, C

GAIL #5 · Gemini, Gemini Enterprise or Workspace: Pick the Right One

Covers: Gemini app and Gems, Gemini Enterprise (enterprise search, assistant, custom agents, Gemini Notebook), Gemini in Google Workspace, Gemini for Google Cloud Audio

GAIL #4 · Why Google Cloud: Open, Enterprise-Ready, Full-Stack

Covers: AI-first approach, enterprise-ready platform, open approach, integrated ecosystem, AI-optimized infrastructure (AI Hypercomputer, TPUs, GPUs), data control, low-c

GAIL #3 · Data, AI Layers and Google Models: Modality First

Covers: Data quality and accessibility, structured vs unstructured, labeled vs unlabeled; the five layers (infrastructure, models, platforms, agents, applications); Gemin

GAIL #2 · Gen AI and ML Fundamentals: Labels Decide the Approach

Covers: AI, ML, deep learning, gen AI, foundation models, LLMs, multimodal and diffusion models; supervised, unsupervised and reinforcement learning; the ML lifecycle and

GAIL #1 · How the Exam Works: Think Like a Leader, Not an Engineer

Covers: Who the exam is for, 4 sections and weights, 50-60 multiple choice questions in 90 minutes, pass or fail only, $99, valid 3 years, retakes, recent product renamin

AI-901 #9 · Domain drills

Covers: Questions across both domains, scenario-to-service matching, all reflexes Audio generated with AI from personal study notes; not official Microsoft material. The

AI-901 #8 · Information extraction with Content Understanding

Covers: Azure Content Understanding in Foundry Tools: documents and forms, images, audio and video; analyzers and schemas; structured output Audio generated with AI from

AI-901 #7 · Vision and image generation in Foundry

Covers: Multimodal models that read images; generative models that create images and video; lightweight vision apps Audio generated with AI from personal study notes; no

AI-901 #6 · Text and speech in Foundry

Covers: Text analysis (keyword extraction, entity detection, sentiment, summarization) with Azure Language in Foundry Tools; speech to text and text to speech with Azure

AI-901 #5 · Generative AI apps and agents in Foundry

Covers: System and user prompts; deploy a model and use it in the portal; chat client with the Foundry SDK; single-agent solution; client app for an agent Audio generate

AI-901 #4 · AI workloads

Covers: Scenarios for generative and agentic AI, text analysis, speech, computer vision and image generation, information extraction; techniques for each Audio generated

AI-901 #3 · How generative AI models work

Covers: How LLMs work; choosing a model by its capabilities; model deployment options and configuration parameters, including the Foundry deployment types Audio generate

AI-901 #2 · Responsible AI

Covers: Six principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability; examples; content filters and the Discover, P

AI-901 #1 · Strategy and how the exam works

Covers: AI-900 retired and AI-901 is the exam now; two domains (40-45% concepts, 55-60% implement with Microsoft Foundry); 700 of 1,000 scaled score; 45 minutes for Funda