C-GAIDM-BOfficial Google Curriculum
Introduction to Generative AI for Decision Makers
1 dayILTIntroductory0
Overview
This course is designed for business users, business leaders, and decision makers seeking to gain a comprehensive understanding of generative AI and its potential impact on their businesses, including generative AI services on Google Cloud.
What You'll Learn
- Define generative AI and distinguish between generative AI and other types of AI.
- Explain the impact and potential application of generative AI
- Understand the pillars of Responsible AI and how it relates to generative AI.
- Define the potential personas affected by generative AI and how they can leverage this new technology
- Survey applications of generative AI across different horizontals through a case study.
Who Should Attend
Customers - business users, business leaders, and decision makers within organizations
Prerequisites
There are no prerequisites for this course. The workshop aims to provide both introductory and advanced insights into Gen AI, making it suitable for individuals with varying levels of AI expertise.
Products Covered
Vertex AIVertex AI Agent BuilderGemini
Course Modules
1
Understanding Generative AI
Topics
- Gen AI versus AI/ML
- Gen AI Applications
- Business Impact of Gen AI
Learning Outcomes
- Define generative AI as a subset of AI.
- Discuss the potential impact of AI on organizations.
- Provide examples of generative AI applications.
2
Generative AI in your Organization
Topics
- Personas and products
- Business audience: Google Workspace
- Consumer AI products versus enterprise AI
- AI practitioners: Vertex AI Model Garden
- Developers: Vertex AI Studio and Vertex AI Agent Builder
Learning Outcomes
- Define the different personas in your organization for generative AI.
- Explore different services for the different personas in your organization.
3
Responsible AI
Topics
- AI and responsibility
- Google's AI principles
- Responsible AI practices
- Data privacy at Google
- Customers' responsibilities
Learning Outcomes
- How Google approaches Responsible AI
- The pillars of Responsible AI at Google
- Data privacy and generative AI
- Customer's responsibilities using Gen AI
4
Generative AI Case Study
Topics
- Use case identification and scoping considerations
- Use case prioritization evaluation
- Generative AI project steps
- Case study discussion
Learning Outcomes
- Identify possible generative AI use cases
- Evaluate and discuss generative AI use cases
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- C-GAIDM-B
- Duration
- 1 day
- Format
- ILT
- Level
- Introductory
- Modules
- 4
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