Empower Decision Makers with Generative AI (EDMGA) – Outline

Outline detalhado do curso

Module 1 - 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 2 - 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 3 - 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 4 - 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 5 - 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 6 - 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 7 - 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