Cloud Hero: Getting Started with Gemini Enterprise

Overview

This course provides business users, business leaders, and decision makers with a comprehensive understanding of generative AI and its impact on organizations. Learners will explore the transformative potential of generative AI, discover real-world use cases across various industries, and learn how to leverage Google Cloud’s generative AI services to drive innovation and efficiency. By the end of the course, participants will be equipped to make informed decisions about implementing AI solutions.

Prerequisites

There are no specific pre-requisites for this course.

Target audience

This course is designed for:

• Business users
• Business leaders
• Decision makers who want to understand generative AI and its organizational impact

Objectives

By the end of this course, learners will be able to:

• Define generative AI and distinguish it from other types of AI
• Identify the potential personas affected by generative AI and how they can leverage this technology
• Gain insights into real-world generative AI use cases across industries
• Identify and prioritize possible applications in their organization
• Understand the pillars of Responsible AI and how it relates to generative AI
• Explain the importance and value of prompt design
• Design effective prompts following general best practices

Outline

Understanding Generative AI

• Generative AI vs. AI/ML
• Generative AI use cases
• Business applications of generative AI
• Defining generative AI as a subset of AI
• AI’s potential impact on organizations
• Examples of generative AI applications

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
• Defining different personas for generative AI
• Exploring services for different personas

Industry Use Cases

• Common business challenges
• Use cases across different industries

Generative AI Case Study

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

Responsible AI

• Data privacy at Google
• AI and responsibility
• Google’s AI principles
• Responsible AI best practices
• Relationship between data privacy and generative AI

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

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 Visio

Exams and assessments

There are no exams or assessments associated with this course.

Hands-on learning

• Labs on prompt design and improving prompts
• Classroom activity: Brainstorming generative AI use cases for your organization