Program Overview

Program Overview

The program in question is a non-diploma short course focused on the societal, environmental, and organizational challenges of Artificial Intelligence (AI). It is designed to provide participants with a comprehensive understanding of AI's role in the current economic landscape, its impacts, and how to manage these impacts responsibly.

Presentation

This formation is part of the continuing education offerings and is accessible in a format that allows for flexible participation. The course is scheduled to take place over 6 days, with sessions planned for October, November, and December 2026.

Objectives

The primary objectives of this program are to:

• Comprehend the concepts of sustainability and address the ethical, societal, legal, and environmental dimensions of AI.
• Master the challenges associated with the rapid growth of deep learning and generative AI.
• Understand and manage the digital carbon footprint.
• Integrate the obligations related to an AI approach.
• Comprehend the specifics of AI project management and its organizational consequences.

Program Highlights

The program offers an alternation between theoretical and practical knowledge, particularly on the question of estimating energy consumption (life cycle analysis, direct, indirect, and rebound effects). It also provides illustrations on individual responsibility in proposed AI solutions and a progressive approach to AI project management to ensure a deep understanding of the subject.

Admission

• Tariff: 2,900 per person.
• Accessibility: The program is accessible in continuing education format.
• Conditions for Admission: This program is aimed at individuals (employees, job seekers, those in career transition) who wish to have a methodological basis for implementing an AI project and evaluating its impacts in a global context.
• Prerequisites: Experience in project management and an appetite for AI.
• Class Size: 6 to 10 participants.
• Certification: At the end of the program, participants will receive a certificate of completion, which can be part of the validation of the second block of the Master's in Computer Science (RNCP title 39278). The evaluation of skills is carried out by a final jury composed of teachers and professionals.

Program Details

• Duration: 6 days.
• Program Content:
  • State of play of ethical, legal, and environmental challenges.
  • Measurement of AI code energy consumption.
  • Solutions for deploying responsible AI.
  • AI project management and organizational challenges.
  • Case studies to apply acquired skills.
  • Return of experience (REX): setting up a roadmap for your organization.
• Knowledge Control: Quizzes at the beginning and end of the formation to assess knowledge acquisition.

Sanction of Short Courses

• Certificate of Completion: Attestation of completion of the short course.
• Attendance Certificate: Attestation of presence.