Google Generative Ai Leader Exam: Complete Preparation Guide

Step-by-step guidance to help you grow as an AI leader and drive innovation

What you'll learn

Understand the fundamentals of generative AI, machine learning, and deep learning.

Explore Google Cloud’s AI-first strategy, platform advantages, and AI-optimized infrastructure.

Work with tools like Vertex AI, Gemini, Workspace integrations, and RAG APIs.

Apply prompt engineering, fine-tuning, and monitoring techniques to improve model performance.

Build strategies for AI adoption, change management, and ethical implementation in your organization.

Test your knowledge with practice activities and quizzes that mirror the exam experience.

Requirements

No prior experience is needed — just basic tech familiarity and a desire to learn about generative AI and its business applications.

Description

Generative AI is transforming industries. This immersive course equips you with strategic knowledge, practical insights, and the confidence to earn the Google Cloud Generative AI Leader certification — all while learning to leverage Google Cloud’s AI ecosystem effectively.What You’ll GainA rock-solid foundation in generative AI, machine learning, and deep learning fundamentalsClear insights into Google’s AI-first strategy, AI-optimized infrastructure, and enterprise tools like Vertex AI, Gemini, Agentspace, CCAI, and RAG APIsPractical mastery of techniques to enhance AI output: grounding, fine-tuning, prompt engineering, human-in-the-loop oversight, and continuous monitoringThe ability to align AI solutions with business needs — covering use cases, project planning, impact measurement, security, ethics, and change management strategiesDownloadable PDF key-term glossaries for every section to reinforce your learning and aid exam preparationPractice quizzes and scenario-based exercises focused on the types of questions you'll face in the Google AI Leader examMeet Your InstructorYour guide is Anton Voroniuk, a seasoned AI expert and Udemy Instructor Partner with over 900,000 learners worldwide. With more than 17 years of experience as a Google Academy Trainer and digital marketing leader, Anton brings real-world wisdom to every lesson. He is Google Cloud Certified as a Generative AI Leader, ensuring you’re mentored by someone who’s not only taught the material — but has successfully passed the certification exam themselves.By completing this course, you’ll be fully prepared to take the Google Cloud Generative AI Leader exam — a 50-60 question, 90-minute assessment, deliverable online or in person with no prerequisites required.Who Should Enroll?This course is designed for aspiring AI strategists, business leaders, project managers, tech professionals, or anyone eager to harness generative AI for real business advantage — regardless of technical background.By journey’s end, you’ll be more than certified — you’ll be ready to credibly lead AI transformation, fuel innovation, and confidently guide your organization into its AI-powered future.Enroll now and let’s ignite your path to AI leadership!

Overview

Section 1: Fundamentals of Generative AI

Lecture 1 Introduction to AI

Lecture 2 How to study on Udemy?

Lecture 3 How to use an AI Assistant?

Lecture 4 What is Machine Learning?

Lecture 5 What is Deep Learning?

Lecture 6 Machine Learning Paradigms & Lifecycle

Lecture 7 Foundation Models and Business Use Cases

Lecture 8 Generative AI Applications in Business

Lecture 9 Data Quality and Types

Lecture 10 Generative AI Landscape Overview

Section 2: Google Cloud’s Generative AI Offerings

Lecture 11 Google’s AI-First Strategy & Platform Advantages

Lecture 12 AI-Optimized Infrastructure

Lecture 13 Prebuilt Generative AI Solutions (Gemini & Workspace)

Lecture 14 Prebuilt Generative AI Solutions (Agentspace)

Lecture 15 Vertex AI Search vs. Google Search Integration

Lecture 16 Customer Engagement Suite (CCAI)

Lecture 17 Developer Enablement – Vertex AI Platform

Lecture 18 Retrieval-Augmented Generation (RAG) APIs

Lecture 19 Building Custom Generative AI Agents

Lecture 20 Agent Tooling and Integrations

Lecture 21 Vertex AI Studio vs Google AI Studio

Section 3: Techniques to Improve Generative AI Model Output

Lecture 22 Limitations of Generative Models

Lecture 23 Grounding and Retrieval to Overcome Limits

Lecture 24 Fine-Tuning and Custom Models

Lecture 25 Human in the Loop (HITL)

Lecture 26 Continuous Model Monitoring

Lecture 27 Introduction to Prompt Engineering

Lecture 28 Advanced Prompting Techniques

Lecture 29 Safety and Parameter Tuning

Lecture 30 When to Use What – Scenario Discussion

Section 4: Business Strategies for Successful Generative AI Solutions

Lecture 31 Identifying High-Value Gen AI Use Cases

Lecture 32 Matching Solution Types to Needs

Lecture 33 Key Factors in Requirements

Lecture 34 Planning & Integration Steps

Lecture 35 Measuring Impact and ROI

Lecture 36 Security Considerations

Lecture 37 Responsible AI & Ethics

Lecture 38 AI Adoption and Change Management

Section 5: Conclusion

Lecture 39 Wrapping Up

Lecture 40 How to leave a review?

Lecture 41 How to get your certificate?

Aspiring Google AI Leaders preparing for the certification exam,Business managers looking to integrate AI solutions into their strategies,Technical professionals exploring Google Cloud’s AI tools,Data analysts and AI enthusiasts wanting to expand their knowledge of generative AI,Teams seeking practical insights into AI adoption and implementation