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.
Ce que vous allez apprendre
- 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.
Public cible
- Business users, Business leaders, Decision makers, Customers
Programme de la Formation
7 modules pour maîtriser les fondamentaux
Objectifs
- Define generative AI as a subset of AI.
- Discuss AI's potential impact on organizations.
- Provide examples of generative AI applications.
Sujets abordés
- →Generative AI vs. AI/ML
- →Gen AI Use Cases
- →Business Applications of Gen AI
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
- 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).
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.
Prochaines sessions
Aucune date ne vous convient ?
Nous organisons régulièrement de nouvelles sessions. Contactez-nous pour connaître les prochaines dates disponibles ou pour organiser une session à la date de votre choix.
S'inscrire à une date personnaliséeFormer plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance