🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
GCPSPARKSINDUSTRYGENAI

Industry Use Cases for Generative AI Training

In this course, you explore generative AI (Gen AI) use cases across specific industries using Google Cloud. After discussing generative AI in general, you will do a deep dive into two generative AI use cases and then explore your own use case within the same framework. This course targets professionals across different roles, including business analysts, data scientists, software developers, business users, and decision-makers, who are specifically interested in leveraging generative AI for business solutions.

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

What you will learn

  • Gain insights into real-world generative AI use cases across industries such as retail, automotive, software development, and financial services.
  • Participants will become familiar with the generative AI tools available on Google Cloud including Gemini and Vertex AI Agent Builder.
  • How to identify and prioritize possible applications in your organization.

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
  • →GenAI versus AI/ML
  • →GenAI Applications
  • →Business Impact of GenAI
Objectives
  • Understand the business use case to be discussed.
  • Discuss the business value of implementing a Gen-AI-powered solution.
  • Understand the solution components and which teams would be responsible.
Topics covered
  • →Challenge and use case definition
  • →Value to business
  • →Components of the solution
  • →Solution demo and discussion
Objectives
  • Understand the business use case to be discussed.
  • Discuss the business value of implementing a Gen-AI-powered solution.
  • Understand the solution components and which teams would be responsible.
Topics covered
  • →Challenge and use case definition
  • →Value to business
  • →Components of the solution
  • →Solution demo and discussion
Objectives
  • Identify possible generative AI use cases.
  • Evaluate and discuss generative AI use cases.
Topics covered
  • →Generative AI use cases
  • →Evaluation of use cases

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Vertex AI and Generative AI Security

This course is designed to empower your organization to fully harness the transformative potential of Google's Vertex AI and generative AI (gen AI) technologies, with a strong emphasis on security. Tailored for AI practitioners and security engineers, it provides targeted knowledge and hands-on skills to navigate and adopt AI safely and effectively. Participants will gain practical insights and develop a security-conscious approach, ensuring a secure and responsible integration of gen AI within their organization.

2 d
Intermediate
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Empower Decision Makers with Generative AI

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.

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Upcoming sessions

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We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

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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 targets professionals across roles, including business analysts, data scientists, software developers, business users, and decision makers, who want to leverage generative AI for business solutions.
No. This is a foundational course. A general interest in applying generative AI to business challenges is enough; no deep technical background is required.
You will gain insights into real-world generative AI use cases across industries, get familiar with Google Cloud tools such as Gemini and Vertex AI Agent Builder, and learn to identify and prioritize applications in your organization.
You will do a deep dive into two use cases, marketing and customer outreach and driving store productivity, before ideating your own use case within the same framework.
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

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