Eligible for CPF and France Travail funding
This course is eligible

www.moncompteformation.gouv.fr

Prerequisites
At least 5 years’ professional experience in a managerial role
Upcoming Intakes
21, 22 and 23 October 2026
Price
1,800 euros excluding VAT (eligible for funding from the CPF and PĂŽle Emploi)
Location
Paris–Villejuif
Professionnel
11
Links
Presentation
Target Audience
Objectives
Contents
Useful Links
Trainers
Isabelle de Padua
Executive Education Manager

Certification

This training course leads to the award of the professional certification registered in the RS (Specific Register) under number RS6787 (1 October 2024) ‘Integrating artificial intelligence and data science into corporate strategy. ’ (certifying body: aivancity)

This programme is aimed at all professionals – managers, executives or specialists

Marketing, Finance, HR, IT, Logistics, Sales, Production, Logistics, Customer Service, Research and Development, Quality, Procurement, Legal, Communications

Info

Find out about the programme’s assessment and teaching methods  

See more
Click here to find out about the programme’s assessment and teaching methods  
Performance indicators 2024–2025
Content updated on 18 November 2025
96%
Satisfaction rate
92%
Attendance rate
100%
Success rate

Target audience and overview

This programme is aimed at all professionals, whether they are managers, executives or specialists, regardless of their field – Marketing, Finance, Human Resources, Information Systems, Logistics, Sales, Production, Customer Service, Research and Development, Quality, Procurement, Legal or Communications. It aims to provide a better understanding of the challenges posed by artificial intelligence and data for businesses, with a strong focus on practical issues and case studies.
It has almost become a cliché to talk about the growth of the artificial intelligence and data market, particularly with the emergence of generative AI, which adds an exciting new dimension to this constantly evolving landscape. Every two days, humanity produces as much information as it did from the dawn of civilisation up to 2003. More than 90 per cent of the data available today has been produced in the last two years. And this volume of digital information doubles every two years.
In France, the ‘Digital Mission for Major Groups’ launched by the government in 2020 to accelerate the digital transformation of businesses includes the initiative ‘Developing a common strategy on artificial intelligence’ amongst its five key priorities. This cannot be achieved without supporting managers in understanding the challenges relating to AI and big data.
This training course does not aim to turn everyone in the organisation into a ‘data scientist’ or ‘data analyst’, nor even into an expert in AI and machine learning. It aims to provide them with an in-depth overview of the field of AI. By introducing them to key concepts and practical applications, it enables them to better understand the implications of this emerging technology within their field of activity and to better guide their decision-making processes. This understanding of the landscape is essential so that they can first determine whether to integrate or accelerate an AI and data strategy into their strategic plans and, if so, where and how to proceed along this path.

Objectives

By the end of this training course, you will be able to:
  • Understand and identify the potential of artificial intelligence and the use of big data for your organisation, including the opportunities offered by generative AI, in order to identify the economic opportunities presented by the use of AI.
  • Analyse the impact of AI use on the organisation, taking into account the implications of generative AI, whilst understanding and anticipating the changes required in human and material resources to ensure successful implementation and the long-term viability of the proposed solutions.
  • Develop a data-driven business model for their organisation by defining the process for analysing and processing big data, with the aim of driving growth and adding value for the customer or user.
  • Implement an effective data management practice whilst taking into account security, protection and quality assurance aspects.
  • Identify the human and ethical considerations surrounding the use of AI and data, taking into account the regulatory framework and issues of algorithmic bias and robustness, in order to contribute to the development of trustworthy and responsible technological innovations.
Contents
Module 1
Module 1
Identifying and understanding the potential of AI for your organisation

  • Artificial Intelligence within the context of a digital ecosystem: developments and practices

  • Understanding the ‘black box’ of AI: machine learning, deep learning and generative AI

  • Business use cases: benefits and challenges

Module 2
Module 2
Data science for business intelligence

  • Data science practices in business: methods, approaches and future trends

  • Harnessing the potential of data to drive your organisation’s growth: data collection, storage, cleaning, analysis and visualisation; predictive analysis and modelling; classification and segmentation

  • Building and managing a team of data managers

  • Structuring your data business model

Module 3
Module 3
Ethics of Artificial Intelligence and Data

  • AI based on trust and responsibility.

  • Regulatory and ethical framework for the use of AI and data in business.

  • The ethical issues surrounding generative AI.

  • HR challenges: working with intelligent machines, careers in AI and data, and the job market.

A first-hand account and a discussion with a manager who has implemented AI solutions within their organisation, as well as a guiding business case, will enrich the content of the various modules.

Click below to view the course details on the official website for CPF funding

CPF link – Paris

CPF link – Nice

Trainers

  • Dr. Doreid AMMAR
    Info

    Areas of expertise
    Data Science, Data Mining, Machine Learning, Artificial Intelligence, the Internet of Things, Computer Networks

    Dr Doreid AMMAR

    Professor of Data Science and Computer Science | Academic Director
  • Dr. Tawhid CHTIOUI
    Info

    Areas of expertise
    Management, Management Control, Communication and Organisational Change, Informal Control and Panoptic Control, Governance

    Dr Tawhid CHTIOUI

    Professor of Management | Founding President and Dean of Aivancity
  • Dr. Etienne MAUFFRET
    Info

    Areas of expertise
    Distributed systems and algorithms, data management, data consistency, autonomous data, multi-agent systems, federated learning

    Dr Etienne MAUFFRET

    Associate Professor and Researcher at aivancity | Programme Director