Empower Decision Makers with Generative AI

• Define generative AI and distinguish between generative AI and other types of AI.
• Define the potential personas affected by generative AI and how they can leverage this new technology.
• Gain insights into real-world generative AI use cases across industries, such as Retail, Automotive, Software Development, and Financial Services.
• Identify and prioritize possible applications in your organization.
• Understand the pillars of Responsible AI and how it relates to generative AI.
• Explain the importance and value of prompt design.
• Design effective prompts following general best practices.

Customers, business users, business leaders, and decision makers

None

Module 01 : Understanding Generative AI

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.

Module 02 : Generative AI in your Organization

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.

Module 03 : Industry Use Cases

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.

Module 04: Generative AI Case Study

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

• Activity: Brainstorm Gen AI use cases for your organization

Module 05: Responsible AI

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.

Module 06: Prompt Design

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

• Lab: Introduction to Prompt Design

Module 07: Improving Prompts

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

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