Introduction to Generative AI for Decision Makers

• Define generative AI and distinguish between generative AI and other types of AI.
• Explain the impact and potential application of generative AI
• Understand the pillars of Responsible AI and how it relates to generative AI.
• Define the potential personas affected by generative AI and how they can leverage this new technology
• Survey applications of generative AI across different horizontals through a case study.

Customers

There are no prerequisites for this course. The workshop aims to provide both introductory and advanced insights into Gen AI, making it suitable for individuals with varying levels of AI expertise.

Module 01: 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 02: 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 03: Responsible AI

• 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 04: 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