Empower Decision Makers with Generative AI

Module 1: Understanding Generative AI

• Generative AI vs. AI/ML
• Gen AI Use Cases
• Business Applications of Gen AI
• Define generative AI as a subset of AI.
• Discuss AI's potential impact on organizations.
• Provide examples of generative AI applications.

Module 2:Generative AI in your Organization

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

Module 3: Industry Use Cases

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

Module 4: Generative AI Case Study

• Use case identification
• Scoping considerations
• Use case prioritization and evaluation
• Identify Gen AI use cases for your organization.
• Evaluate and prioritize generative AI use cases.
• Activity: Brainstorm Gen AI use cases for your organization

Module 5: Responsible AI

• Data Privacy at Google
• AI and responsibility
• Google’s AI principles
• Responsible AI best practices
• Learn how Google approaches Responsible AI.
• Define the pillars of Responsible AI at Google.
• Understand the relationship between data privacy and generative AI.

Module 6: Prompt Design

• What is prompt design and why is it important?
• Prompt content types
• Prompt design strategies
• Iterating prompts for improvement
• Understand the importance of prompt design for generative AI.
• Write effective prompts for interacting with LLMs.
• Lab: Introduction to Prompt Design

Module 7: Improving Prompts

• Prompt design vs. prompt engineering
• Zero-shot and few-shot prompting
• Chain of thought prompting
• Overview of additional techniques
• Use prompt design strategies to improve output from LLMs.
• Lab: Improving Your Prompts
• Optional Lab: Writing Prompts for Gemini Pro Vision