Google Empower Decision Makers with Generative AI (GCP100GENAIDEMAKER)

- Business users, Business leaders, Decision makers, Customers

After this course participants should be able to:

• Define generative AI as a subset of AI.
• Discuss AI's potential impact on organizations.
• Provide examples of generative AI applications.
• Define the different personas in your organization for generative AI.
• Explore different services for the different personas in your organization.
• Understand common business challenges across different industries.
• Explore use cases for generative AI across different industries.
• Identify Gen AI use cases for your organization.
• Evaluate and prioritize generative AI use cases.
• Learn how Google approaches Responsible AI.
• Define the pillars of Responsible AI at Google.
• Understand the relationship between data privacy and generative AI.
• Understand the importance of prompt design for generative AI.
• Write effective prompts for interacting with LLMs.
• Use prompt design strategies to improve output from LLMs.

1- Understanding Generative AI

• Generative AI vs. AI/ML
• Gen AI Use Cases
• Business Applications of Gen AI

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

3- Industry Use Cases

• Common business challenges
• Use cases across different industries

4- Generative AI Case Study

• Use case identification
• Scoping considerations
• Use case prioritization and evaluation
• Activity: Brainstorm Gen AI use cases for your organization

5- Responsible AI

• Data Privacy at Google
• AI and responsibility
• Google's AI principles
• Responsible AI best practices

6- Prompt Design

• What is prompt design and why is it important?
• Prompt content types
• Prompt design strategies
• Iterating prompts for improvement
• Lab: Introduction to Prompt Design

7- Improving Prompts

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

Basic knowledge of Customer Relationship Management (CRM) concepts and business processes is recommended to effectively understand customer engagement, sales workflows, and data-driven decision making.

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