GCPSPARKSGENAIDECISION

Introduction to Generative AI for Decision Makers Training

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.

Google Cloud
✓ Official training Google CloudLevel Fundamentals⏱️ 0.5 day (3h)

What you will 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.

Target audience

  • Customers

Training Program

4 modules to master the fundamentals

Objectives
  • Define generative AI as a subset of AI.
  • Discuss the potential impact of AI on organizations.
  • Provide examples of generative AI applications.
Topics covered
  • →Gen AI versus AI/ML
  • →Gen AI Applications
  • →Business Impact of Gen AI
Objectives
  • Define the different personas in your organization for generative AI.
  • Explore different services for the different personas in your organization.
Topics covered
  • →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
  • How Google approaches Responsible AI
  • The pillars of Responsible AI at Google
  • Data privacy and generative AI
  • Customer's responsibilities using Gen AI
Topics covered
  • →AI and responsibility
  • →Google's AI principles
  • →Responsible AI practices
  • →Data privacy at Google
  • →Customers' responsibilities
Objectives
  • Identify possible generative AI use cases
  • Evaluate and discuss generative AI use cases
Topics covered
  • →Use case identification and scoping considerations
  • →Use case prioritization evaluation
  • →Generative AI project steps
  • →Case study discussion

Related Trainings

Upcoming sessions

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Group Discussion — Open exchange among peers and the instructor on a specific topic.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

It is designed for business users, business leaders, and decision makers who want a comprehensive understanding of generative AI and its potential impact on their organizations.
No. This is a foundational course focused on business understanding, not technical implementation. No technical background is required.
You will learn to define generative AI and distinguish it from other AI, understand its impact and applications, grasp the pillars of Responsible AI, and explore generative AI services on Google Cloud.
Yes. A dedicated module covers the pillars of Responsible AI and how they relate to generative AI, and a case study shows applications across different industries.
The course lasts 3 hours and is delivered in an instructor-led format.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

395€ excl. VAT

per learner