Google Generative Ai Leader Exam: Complete Preparation Guide
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.05 GB | Duration: 3h 52m
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
RapidGator
NitroFlare
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eep dive into Generative AI and Foundation Models.Overview of Large Language Models (LLMs).Discussion of data crucial for training these models.Exploration of Retrieval-Augmented Generation (RAG).Prompt EngineeringPrompting BasicsLearning the principles of effective prompting.Detailed discussion and exploration of Prompt Engineering techniques.Google Cloud AI Services & ToolsIntroduction to Vertex AI and its environment.Exploring Vertex AI Studio and its features.Overview of related tools like Customer Engagement Suite and NotebookLM.Learning about Google's Specialized AI APIs, including:Speech-to-Text API and Text-to-Speech API.Translation API and Document Translation API.Document AI API and Natural Language API.Cloud Vision API and Cloud Video Intelligence API.Advanced Tools & Services
