Course Overview of Empower Decision Makers with Generative AI

This course introduces business leaders, decision makers, and professionals to the transformative potential of generative AI and its impact on organizations. Through instructor-led sessions, labs, and classroom activities, participants will explore generative AI concepts, industry use cases, responsible AI principles, prompt design strategies, and Google Cloud generative AI solutions.

After completing Empower Decision Makers with Generative AI, you will be able to:

  • Define generative AI and distinguish it from traditional AI/ML.
  • Understand how generative AI impacts different business personas.
  • Identify real-world generative AI use cases across industries.
  • Explore Google Cloud generative AI products and services.
  • Evaluate and prioritize generative AI opportunities for organizations.
  • Understand responsible AI principles and data privacy considerations.
  • Design effective prompts for interacting with large language models (LLMs).
  • Apply advanced prompting techniques to improve AI outputs.

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Key Features of Empower Decision Makers with Generative AI

  • Introduction to Generative AI

  • Business Personas and AI Adoption

  • Industry-Specific Generative AI Use Cases

  • Generative AI Use Case Evaluation

  • Responsible AI and Data Privacy

  • Prompt Design Fundamentals

  • Advanced Prompting Techniques

  • Hands-On Generative AI Labs

Who should Attend Empower Decision Makers with Generative AI

  • Business Leaders
  • Decision Makers
  • Product Managers
  • Innovation Teams
  • Digital Transformation Leaders
  • Business Professionals Exploring AI Adoption

Prerequisites of Empower Decision Makers with Generative AI

  • No technical background required
  • Interest in business innovation and AI transformation
  • Basic familiarity with organizational workflows beneficial

    Course Outline for Empower Decision Makers with Generative AI Download Course Outline

    Topics

    • Generative AI vs. AI/ML
    • Gen AI Use Cases
    • Business Applications of Gen AI

    Learning Outcomes

    • Define generative AI and its capabilities.
    • Compare generative AI with traditional AI and ML.
    • Identify business applications of generative AI.

    Activities

    • Generative AI Overview Discussion
    • AI Business Scenario Analysis
    • Classroom Interaction

    Topics

    • • Personas and Products
    • • Workspace for Business Users
    • • Consumer AI vs Enterprise AI
    • • Vertex AI Studio
    • • Model Garden
    • • Vertex AI Agent Builder

    Learning Outcomes

    • • Understand generative AI personas within organizations.
    • • Explore Google Cloud generative AI services.
    • • Match AI products to organizational use cases.

    Topics

    • • Common Business Challenges
    • • Industry Use Cases

    Learning Outcomes

    • • Understand how generative AI solves industry problems.
    • • Analyze use cases across multiple sectors.
    • • Identify innovation opportunities using generative AI.

    Activities

    • • Industry Case Study Discussion
    • • AI Innovation Brainstorming
    • • Classroom Activity

    Topics

    • Use case identification
    • Scoping considerations
    • Use case prioritization and evaluation

    Learning Outcomes

    • • Identify suitable AI use cases for organizations.
    • • Prioritize AI opportunities strategically.
    • • Evaluate implementation feasibility and business value.

    Activities

    • • Brainstorming Workshop: Generative AI Use Cases
    • • Use Case Prioritization Exercise
    • • Group Activity

    Topics

    • Data Privacy at Google
    • AI and responsibility
    • Google’s AI principles
    • Responsible AI best practices

    Learning Outcomes

    • • Understand responsible AI principles.
    • • Explore ethical AI and data privacy considerations.
    • • Apply governance best practices to AI initiatives.

    Activities

    • • Responsible AI Discussion
    • • Privacy and Governance Review
    • • Classroom Interaction

    Topics

    • • Importance of Prompt Design
    • • Prompt Content Types
    • • Prompt Design Strategies
    • • Iterative Prompt Improvement

    Learning Outcomes

    • • Understand prompt design fundamentals.
    • • Write effective prompts for LLMs.
    • • Improve prompt quality iteratively.

    Activities

    • • Lab: Introduction to Prompt Design
    • • Prompt Writing Workshop
    • • Prompt Review Exercise

    Topics

    • • Prompt Design vs Prompt Engineering
    • • Zero-shot Prompting
    • • Few-shot Prompting
    • • Chain-of-Thought Prompting
    • • Advanced Prompting Techniques

    Learning Outcomes

    • • Apply advanced prompt engineering strategies.
    • • Improve AI outputs using structured prompting techniques.
    • • Understand iterative prompt refinement methods.

    Activities

    • • Lab: Improving Your Prompts
    • • Optional Lab: Writing Prompts for Gemini Pro Vision
    • • Prompt Optimization Workshop

    Certification Details of Empower Decision Makers with Generative AI

      CloudThat Course Completion Certificate will be awarded to all learners who complete the training.

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    Course ID: 22673

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