Free Google Cloud GenAI Leader Exam Cram Course

Free Google Cloud GenAI Leader Exam Cram Course

• Lesson 01: Course Introduction

  03:12Preview

  • 1.01 Course Introduction Exam Cram Google Cloud GenAI Leader

    03:12

• Lesson 02: Learning Objectives

  00:53Preview

  • 2.01 Learning Objectives

    00:53

• Lesson 03: Overview of Google Cloud Generative AI Leader Certification

  40:39Preview

  • 3.01 Google Cloud Generative AI Leader Exam Introduction Structure and Question Format

    02:35

  • 3.02 Understanding Exam Scope Weightage and High Yield Topics

    04:24

  • 3.03 Question Type 1 Product or Service Selection

    02:20

  • 3.04 Question Type 2 Concept Definition Questions

    03:45

  • 3.05 Question Type 3 Scenario Based Question

    04:45

  • 3.06 Decision Frameworks Shortcuts

    02:37

  • 3.07 Question Type 4 Comparison Based Questions

    02:34

  • 3.08 Trap 1 Confusions Related to Gemini Variants

    01:12

  • 3.09 Trap 2 Confusions Related to Grounding Methods

    01:01

  • 3.10 Trap 3 Confusions Related to Customer Engagement Products

    01:00

  • 3.11 Trap 4 Missing Best or Most Qualifiers

    01:40

  • 3.12 Trap 5 Overgeneralizing Gen AI

    00:51

  • 3.13 Trap 6 Ignoring Business Context

    01:18

  • 3.14 Multi Trap Questions and Trap Avoidance Strategies

    00:57

  • 3.15 Elimination Technique and Examples

    04:26

  • 3.16 Decision Tree for Selecting Gen AI Tools

    02:11

  • 3.17 Shortcuts for Pattern Recognition

    01:23

  • 3.18 Time Allocation Strategy in Exam

    01:40

• Lesson 04: High Yield Concepts Revision - Section 1: Fundamentals

  12:23Preview

  • 4.01 Core Concepts of Generative AI

    02:15

  • 4.02 Machine Learning Approaches Lifecycle and Google Cloud Tools

    03:00

  • 4.03 Data Type Structured vs Unstructured

    00:54

  • 4.04 Data Type Labeled vs Unlabeled

    00:52

  • 4.05 Data Quality Dimension

    00:55

  • 4.06 Foundation Models Overview Types and Selection

    01:58

  • 4.07 Generative AI Landscape and Business Use Cases

    02:29

• Lesson 05: High Yield Concepts Revision - Section 2: Google Cloud Offerings

  25:58Preview

  • 5.01 Google Clouds Six Key Differentiators

    01:29

  • 5.02 AI Optimized Infrastructure

    01:28

  • 5.03 Data Control and Security

    01:15

  • 5.04 Gemini Overview Workspace Enterprise and Business Applications

    03:53

  • 5.05 Overview of Search Solutions

    03:12

  • 5.06 Customer Engagement Suite

    01:49

  • 5.07 Conversational Agents vs Agent Assist

    01:21

  • 5.08 Overview of Developer Platform

    01:12

  • 5.09 Google AI Studio vs Vertex AI

    01:18

  • 5.10 Vertex AI Capabilities RAG and Grounding Options

    02:32

  • 5.11 Building Custom Agents and Selecting Models in Vertex AI

    04:40

  • 5.12 Decision Framework for Selecting GenAI Products

    01:49

• Lesson 06: High Yield Concepts Revision - Section 3: Techniques

  09:19Preview

  • 6.01 Mitigation Strategies for Model Limitations

    04:44

  • 6.02 Grounding and RAG in Generative AI

    03:13

  • 6.03 Sampling Parameters Example​

    01:22

• Lesson 07: High Yield Concepts Revision - Section 4: Business Strategies

  07:15Preview

  • 7.01 Implementing and Securing AI Solutions with Google Cloud

    02:40

  • 7.02 Responsible and Secure AI Practices on Google Cloud

    04:35

• Lesson 08: Key Takeaways

  01:48

  • 8.01 Key Takeaways

    01:48