L’IA pour tous

Module 1: This module provides an introduction to the fundamentals of AI, encompassing the basics of machine learning, data, and the common terminology used in AI. Additionally, it explores the composition of an AI company and the capabilities and limitations of machine learning. The content also includes non-technical explanations of deep learning and practical exercises for reinforcement.

Module 2: Focusing on project development, this module delves into the workflow of machine learning and data science projects, emphasizing the importance of data utilization across all professional functions. Learners are guided through the process of selecting AI projects, working with an AI team, and are introduced to technical tools for AI teams. Practical exercises are integrated for hands-on learning.

Module 3: This module explores the integration of AI into organizations, featuring case studies and examples of AI team roles. It provides a manual for AI transformation, highlighting common pitfalls to avoid and guiding learners through the initial steps of AI implementation. Optional surveys on AI application domains and techniques are also available for further exploration.

Module 4: Addressing the societal impact of AI, this module offers a realistic perspective on AI, discussing issues such as discrimination, adversarial attacks, and the misuse of AI. It also examines the implications of AI on developing economies and employment, concluding with a comprehensive overview of the course content.