GCP100AILEADER

Generative AI Leader

In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.

✓ Formation officielle Google CloudNiveau Fundamentals⏱️ 2 jours (14h)

Ce que vous allez apprendre

Describe how generative AI transforms organizations across business functions and industries.
Define core gen AI concepts (artificial intelligence, gen AI, machine learning, etc.).
Identify the core layers of the gen AI landscape (applications, agents, platforms, models, and infrastructure).
Explain how you can combine the components of generative AI agents to build powerful solutions.
Identify Google Cloud products and solutions that support the implementation and scaling of generative AI initiatives.

Prérequis

None

Public cible

Business professionals of all levels and job roles who want to contribute to their company's gen AI transformation

Programme de la Formation

5 modules pour maîtriser les fondamentaux

Objectifs

Discover how generative AI transforms organizations across business functions and industries.
Explore how generative AI uses foundation models and prompt engineering to create value.
Identify Google Cloud's unique strengths in the field of generative AI.
Explain the Google-Cloud-recommended steps to successfully implement a transformational gen AI solution.

Sujets abordés

→Introduction to gen AI for businesses
→Introduction to gen AI foundations
→Gen AI strategy

Activités

Discussion: What is your why?

Discussion: Feeling inspired

Try it: Hands-on with the Gemini app

Discussion: Benefits of Google Cloud when building AI solutions

Try it: Prioritization exercise

Activity: Augmentation or automation?

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.
Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).

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.