Detailed Course Outline
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