Introduction to Generative AI for Decision Makers (GAIDM) – Outline

Outline detalhado do curso

Module 1 - Understanding Generative AI

Topics:

  • Gen AI versus AI/ML
  • Gen AI Applications
  • Business Impact of Gen AI

Objectives:

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

Module 2 - Generative AI in your Organization

Topics:

  • Personas and products
  • Business audience: Google Workspace
  • Consumer AI products versus enterprise AI
  • AI practitioners: Vertex AI Model Garden
  • Developers: Vertex AI Studio and 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.

Module 3 - Responsible AI

Topics:

  • AI and responsibility
  • Google’s AI principles
  • Responsible AI practices
  • Data privacy at Google
  • Customers’ responsibilities

Objectives:

  • How Google approaches Responsible AI
  • The pillars of Responsible AI at Google
  • Data privacy and generative AI
  • Customer’s responsibilities using Gen AI

Module 4 - Generative AI Case Study

Topics:

  • Use case identification and scoping considerations
  • Use case prioritization evaluation
  • Generative AI project steps
  • Case study discussion

Objectives:

  • Identify possible generative AI use cases
  • Evaluate and discuss generative AI use cases