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

Detailed Course Outline

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