This course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations. You’ll gain a comprehensive understanding of this technology, learn how it can be leveraged to drive innovation and efficiency, and explore the range of generative AI services available on Google Cloud. By the end of this course, you’ll be equipped to make informed decisions about implementing AI solutions.

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Modules covered in the training program, Empower Decision Makers with Generative AI Download Course Outline

Topics

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

Objectives

  • Define generative AI as a subset of AI.
  • Discuss AI's potential impact on organizations.
  • Provide examples of generative AI applications.

Topics

  • Personas and products
  • Business audience: Workspace
  • Consumer AI products vs. Enterprise AI
  • General Audience: Vertex AI Studio
  • AI Practitioners: Model Garden
  • Power Users: Vertex AI Agent Builder

Objectives

  • Define the different personas in your organization for generative AI.
  • Explore different services for the different personas in your organization.

Topics

  • Common business challenges
  • Use cases across different industries

Objectives

  • Understand common business challenges across different industries.
  • Explore use cases for generative AI across different industries.

Topics

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

Objectives

  • Identify Gen AI use cases for your organization.
  • Evaluate and prioritize generative AI use cases.

Activities

  • Brainstorm Gen AI use cases for your organization

Topics

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

Objectives

  • Learn how Google approaches Responsible AI.
  • Define the pillars of Responsible AI at Google.
  • Understand the relationship between data privacy and generative AI.

Topics

  • What is prompt design and why is it important?
  • Prompt content types
  • Prompt design strategies
  • Iterating prompts for improvement

Objectives

  • Understand the importance of prompt design for generative AI.
  • Write effective prompts for interacting with LLMs.

Activities

  • 1 Lab

Topics

  • Prompt design vs. prompt engineering
  • Zero-shot and few-shot prompting
  • Chain of thought prompting
  • Overview of additional techniques

Objectives

  • Use prompt design strategies to improve output from LLMs.

Activities

  • 2 Lab

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Course ID: 22673

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