The complete preparation pathway for Google Cloud's Generative AI Leader certification. Gen AI fundamentals, Gemini and Gemini Enterprise, grounding and prompt engineering, SAIF, and responsible AI — no coding required.
A business-level, non-technical certification from Google Cloud. The 90-minute exam has 50-60 multiple-choice questions across four domains, testing whether you can identify use cases, evaluate Google Cloud's gen AI offerings, and apply responsible AI principles — no coding required.
Anyone in a business role — product managers, executives, consultants, analysts — who needs to make informed decisions about gen AI adoption. No prerequisites and no hands-on technical experience are required.
No — unlike AWS or Anthropic's certifications, Google does not publish an exact scaled pass score for this exam. Our mock tests use a 70% practice-test convention; treat it as a study guide, not an official benchmark.
Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.
11 articles · ~4h →Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything.
12 articles · ~5h →Go from zero to productive with Claude Code — the terminal AI coding agent that ships real projects.
13 articles · ~7h →Google Cloud Generative AI Leader: Exam Overview
What the Generative AI Leader exam tests, four domain weightings, six business scenarios, and how to prepare — no engineering background required.
What Is Multimodal AI?
Foundation models that handle text, image, audio, and video together — the concept behind Gemini's multimodal capability.
What Are AI Agents?
The agents layer of the gen AI landscape — infrastructure, models, platforms, agents, applications.
Types of AI Agents
How agent tooling — extensions, functions, data stores, plugins — maps to real business workflows.
What Is Fine-Tuning?
Customizing a foundation model for a specific use case — one lever among several for choosing the right model.
Google Cloud Next 2026: Gemini Enterprise Agent Platform
The rebrand at the center of Domain 2 — Vertex AI became the Gemini Enterprise Agent Platform, and Agentspace became Gemini Enterprise.
Google's AI Product Names: The 2026 Map
A living glossary — Gemini Enterprise, Agent Search, Agent Studio vs Google AI Studio, Model Garden, NotebookLM Enterprise, Conversational Agents.
Agent Tooling on Google Cloud
Extensions, functions, data stores, and plugins — how Google Cloud APIs plug into agent tooling.
Prompt Engineering: Zero-Shot, Few-Shot, Chain-of-Thought
The core prompting techniques Domain 3 expects a business leader to recognize and describe.
ReAct Prompting: Reasoning + Acting
The advanced prompting technique that pairs with chain-of-thought on the Generative AI Leader exam.
Grounding vs RAG vs Fine-Tuning: Which Fixes a Wrong Answer?
A decision guide for when to ground, when to fine-tune, and when better prompting is enough — core to Domain 3.
Temperature, Top-P, and Sampling Parameters
How token count, temperature, top-p, and safety settings control gen AI model behavior.
Why AI Models Hallucinate
Foundation model limitations — data dependency, knowledge cutoff, bias, and hallucinations — and how grounding addresses them.
Bias in AI: Types, Examples, and Mitigation
Responsible AI pillars — fairness, transparency, accountability, and explainability — for business decision-makers.
AI Regulation: EU AI Act & US Policy
Compliance frameworks and privacy considerations — anonymization, pseudonymization, and data quality implications for responsible AI.
Practice exam
3 timed mock exams with shuffled questions, instant scoring, and per-question explanations. Pass score: 70/1000. The fastest way to find your weak domains before exam day.
14 articles across all four exam domains, roughly 8 hours of study. The pathway mirrors exam weighting: heaviest on Google Cloud's gen AI offerings (Domain 2 at 35%) and fundamentals (Domain 1 at 30%).
The pathway includes scenario-based quiz questions throughout, including the Vertex AI → Gemini Enterprise Agent Platform rebrand and the SAIF framework. After completing it, use the mock tests at /tests/google-cloud-genai-leader — timed, full-length practice exams with shuffled questions and explanations.
None. This is intentionally the most accessible certification pathway on this platform — you don't need to read code or have cloud experience to follow it.
Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.
14 articles · ~6h →
