Empower Decision Makers with Generative AI (EDMGA)

 

Course Overview

This course is designed for business users, business leaders, and decision makers who want to understand the transformative potential of generative AI and its impact on their organizations. You'll gain a comprehensive understanding of this technology, learn how it can be leveraged to drive innovation and efficiency, and explore the range of generative AI services available on Google Cloud. By the end of this course, you'll be equipped to make informed decisions about implementing AI solutions.

Course Objectives

  • Define generative AI and distinguish between generative AI and other types of AI.
  • Define the potential personas affected by generative AI and how they can leverage this new technology.
  • Gain insights into real-world generative AI use cases across industries, such as Retail, Automotive, Software Development, and Financial Services.
  • Identify and prioritize possible applications in your 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.

Follow On Courses

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • on request
Classroom Training

Duration
1 day

Price
  • on request

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

English

European Time Zones

Online Training Course language: English
Online Training Course language: English
Online Training Course language: English
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Switzerland

Zurich
Zurich
Zurich
Zurich

Germany

Berlin
Hamburg
Berlin

If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.