AI Instructor Live Labs Included

Google Cloud Generative AI Leader Certification

Prepare for the Google Cloud Certified Generative AI Leader exam. Covers gen AI fundamentals, Google Cloud AI products, model improvement techniques, and business strategy for AI adoption.

Intermediate
10h 26m
10 Lessons
GEN-AI-LEADER
Google Cloud Generative AI Leader Certification Badge

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About This Course

Comprehensive preparation for the Google Cloud Certified Generative AI Leader certification exam. This course covers all four exam sections: fundamentals of generative AI, Google Cloud's gen AI products and services, techniques to improve model output, and business strategies for successful gen AI adoption. Designed for business and technology leaders who want to demonstrate their ability to drive strategic AI initiatives using Google Cloud's enterprise-ready platform.

Course Curriculum

10 Lessons
01
AI Lesson
AI Lesson

Fundamentals of Generative AI

1h 0m

Covers core gen AI concepts, ML approaches, the ML lifecycle, foundation model selection, business use cases, and Google's foundation model portfolio. Aligns to Section 1 (~30% of the exam).

02
AI Lesson
AI Lesson

Responsible AI for Leaders

45m

An agent-led lesson exploring responsible AI principles for business leaders — covering bias and fairness, privacy, safety controls, and building an organizational responsible AI program.

03
AI Lesson
AI Lesson

Google Cloud's Generative AI Offerings

1h 15m

Covers Google Cloud's enterprise AI strengths, prebuilt AI products, customer experience tools, the Gemini Enterprise Agent Platform, and agent tooling. Aligns to Section 2 (~35% of the exam).

04
AI Lesson
AI Lesson

Portal Tour: Agent Studio for Leaders

1h 12m 4 Exercises

A guided tour of the Gemini Enterprise Agent Platform in the Google Cloud console so leaders can see where Model Garden, Agent Studio, and Agent Search live and what they do.

Sign in to the Google Cloud Console Open an incognito browser window, authenticate via Workforce Identity Federation, and land in the Google Cloud console ready for the tour. ~5 min
Explore Model Garden Open Model Garden, filter for Gemini foundation models, and inspect a model card to see capabilities, context window, pricing tier, and task tags. ~7 min
Tour Agent Studio Open Agent Studio, survey the available prompt options, and identify where prompt text, model selection, parameters, system instruction, and safety filters live on the page. ~8 min
Build and Test Your First AI Agent Build a Ride Coach agent in Agent Designer, test it in Preview, and explore App builder — including how Agent Search grounds an app on your own content. ~7 min
05
AI Lesson
AI Lesson

Techniques to Improve Gen AI Model Output

50m

Covers foundation model limitations and mitigations, prompt engineering techniques, advanced prompting, and grounding with sampling parameters. Aligns to Section 3 (~20% of the exam).

06
AI Lesson
AI Lesson

Prompt and Parameter Exploration in Agent Studio

1h 25m 5 Exercises

Hands-on exploration of Agent Studio prompt controls — temperature, top-p, top-k, max output tokens, system instruction, and safety filters — using Gemini in the Google Cloud console.

Sign in and open Agent Studio Sign in to the Google Cloud console via incognito, enable the Gemini API if needed, and open a new chat prompt in Agent Studio. ~5 min
Write a baseline prompt and observe default behavior Author a destination-summary prompt for the scenario company, submit it at default parameters, and capture the baseline response. ~7 min
Tune temperature, top-P, and max output tokens Run the same prompt at three temperature settings and two max-token settings, observing how creativity, determinism, and output length shift. ~9 min
Apply a system instruction and tune safety filters Add a system instruction that enforces voice and scope for the scenario brand, then adjust safety filter thresholds and observe the downstream effect on output. ~9 min
Create and edit images with Nano Banana in Agent Studio Generate an initial image from a text prompt using Nano Banana (Gemini 2.5 Flash Image), then use Nano Banana Pro (Gemini 3 Pro Image) for reference-conditioned edits. Observe how prompt specificity and model tier change the result. ~10 min
07
AI Lesson
AI Lesson

NotebookLM for Leaders

35m 4 Exercises

A hands-on portal lab exploring Google NotebookLM — the AI research assistant that grounds answers in your uploaded sources. Students use a personal Google account to create notebooks, add web sources, ask grounded questions, and generate an Audio Overview podcast.

Access NotebookLM and Create Your Research Notebook ~8 min
Upload a Source and Explore Grounded Q&A ~8 min
Generate an Audio Overview ~7 min
Add a Second Source and Explore Cross-Source Grounding ~7 min
08
AI Lesson
AI Lesson

Grounding, Model Selection, and Advanced Prompting in Agent Studio

1h 59m 8 Exercises

Hands-on exploration of the Agent Studio features a Generative AI leader is expected to understand beyond basic prompting: model-vs-model comparison, grounding with Google Search, thinking-level tuning on Gemini 3, few-shot prompting, multi-turn chat, long-context summarization, structured JSON output, and an end-to-end mini search app built on a Vertex AI Search data store.

Sign in and compare Gemini models side-by-side Sign in to the Google Cloud console, select the lab project, and use Agent Studio's Compare feature to run the same prompt across Gemini 3 Flash Preview, Gemini 2.5 Pro, and Gemini 2.5 Flash — building an intuition for which model fits which job. ~10 min
Ground with Google Search and inspect citations Run a fact-heavy prompt with and without the "Ground with Google Search" toggle, see where the ungrounded model hallucinates, and inspect citations on the grounded response. ~9 min
Tune thinking levels on a multi-step reasoning problem Run a multi-step reasoning prompt on Gemini 3 Flash Preview at MINIMAL, LOW, MEDIUM, and HIGH thinking levels. Observe latency vs answer quality and articulate the cost/quality lever you now control. ~10 min
Improve accuracy with few-shot prompting Build a short support-ticket classification task. Run it zero-shot, measure where it drifts, then add three labeled examples and re-run — a direct demonstration of in-context learning. ~8 min
Hold a multi-turn chat with persistent context Switch Agent Studio into chat mode, hold a 3-turn conversation under a pinned system instruction, and see how "memory" is simply context — with predictable boundaries a leader should plan around. ~8 min
Summarize a long document with Gemini 3's 1M-token context Paste a long document (or attach a large PDF) into a single Gemini 3 Flash Preview prompt and ask for a structured executive summary. Makes the 1M-token context window concrete and demonstrates when long context replaces RAG. ~9 min
Return structured JSON the application can consume Use Agent Studio's structured output controls (response schema / JSON mode) to force Gemini to return strict JSON an engineer can drop straight into application code — the single most common question leaders hear from their integration teams. ~8 min
Build a mini grounded search app in Vertex AI Search Create a Vertex AI Search data store from a public website, build a small search/chat app on top of it, and ask the app questions — an end-to-end RAG loop with grounding and citations, completed entirely in the portal. ~12 min
09
AI Lesson
AI Lesson

Building AI Agents on Google Cloud

40m 5 Exercises

A hands-on portal lab where students build a working AI agent in Google's Agent Studio (formerly Vertex AI Studio). Students configure agent name, description, and system instructions, add the Google Search tool, and observe multi-step ReAct reasoning in the preview panel.

Sign In to the Google Cloud Console ~5 min
Understand Agent Components by Exploring Agent Designer ~8 min
Configure the Aurora Destination Research Agent ~10 min
Add the Google Search Tool ~7 min
Test Multi-Step Reasoning in the Preview ~8 min
10
AI Lesson
AI Lesson

Business Strategies for Successful Gen AI Solutions

45m

Covers gen AI solution implementation strategy, organizational integration and impact measurement, secure AI and Google's SAIF framework, and responsible AI principles. Aligns to Section 4 (~15% of the exam).

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This course includes:

  • 24/7 AI Instructor Support
  • Live Lab Environments
  • 0 Hands-on Lessons
  • Completion Badge
Google Cloud Generative AI Leader Certification Badge

Earn Your Badge

Complete all lessons to unlock the Google Cloud Generative AI Leader Certification achievement badge.

Skill Level Intermediate
Total Duration 10h 26m
Google Cloud Generative AI Leader Certification Badge
Achievement Badge

Google Cloud Generative AI Leader Certification

Awarded for completing the Google Cloud Generative AI Leader Certification preparation course. Demonstrates foundational knowledge of generative AI concepts, Google Cloud AI offerings (Vertex AI, Gemini, Agent Builder), model improvement techniques (prompting, RAG, fine-tuning), and business strategy for AI adoption.

Course Google Cloud Generative AI Leader Certification
Criteria Complete all lessons and labs in the Google Cloud Generative AI Leader Certification course, including hands-on exercises in Vertex AI Studio, and pass the course assessments.

Skills You'll Earn

Generative AI Fundamentals Google Cloud AI Vertex AI Gemini Models Prompt Engineering AI Business Strategy Model Improvement Techniques AI Leadership

Complete all lessons in this course to earn this badge