Introduction to Generative AI for Decision Makers (GAIDM)

 

Course Overview

This course is designed for business users, business leaders, and, more generally, decision makers within organizations who are seeking to gain a comprehensive understanding of generative AI and its potential impact on their businesses. The overall goal of the course is to educate decision makers on the potential impact generative AI can have in their organizations, educate them about generative AI services on Google Cloud and to inspire decision makers to start thinking about what is possible with generative AI technologies.

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.

Course Objectives

  • 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.

Outline: Introduction to Generative AI for Decision Makers (GAIDM)

Module 1 - Understanding Generative AI

Topics:

  • Gen AI versus AI/ML
  • Gen AI Applications
  • Business Impact of Gen AI

Objectives:

  • Define generative AI as a subset of AI.
  • Discuss the potential impact of AI on organizations.
  • Provide examples of generative AI applications.

Module 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

Objectives:

  • Define the different personas in your organization for generative AI.
  • Explore different services for the different personas in your organization.

Module 3 - Responsible AI

Topics:

  • AI and responsibility
  • Google’s AI principles
  • Responsible AI practices
  • Data privacy at Google
  • Customers’ responsibilities

Objectives:

  • How Google approaches Responsible AI
  • The pillars of Responsible AI at Google
  • Data privacy and generative AI
  • Customer’s responsibilities using Gen AI

Module 4 - Generative AI Case Study

Topics:

  • Use case identification and scoping considerations
  • Use case prioritization evaluation
  • Generative AI project steps
  • Case study discussion

Objectives:

  • Identify possible generative AI use cases
  • Evaluate and discuss generative AI use cases

Prices & Delivery methods

Online Training

Duration
3 hours

Price
  • US$ 595
Classroom Training

Duration
3 hours

Price
  • United States: US$ 595

Click on town name or "Online Training" to book Schedule

This is an Instructor-Led Classroom course
Instructor-led Online Training:   This is an Instructor-Led Online (ILO) course. These sessions are conducted via WebEx in a VoIP environment and require an Internet Connection and headset with microphone connected to your computer or laptop.
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.

Germany

Online Training Time zone: Europe/Berlin Enroll
Online Training Time zone: Europe/Berlin Enroll

Italy

Rome This is a FLEX course. Enroll
Online Training Time zone: Europe/Rome Enroll
Milan This is a FLEX course. Enroll
Online Training Time zone: Europe/Rome Enroll