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Students
Tuition Fee
EUR 1,800
Per course
Start Date
2025-10-15
Medium of studying
Duration
3 days
Program Facts
Program Details
Degree
Courses
Major
Management | Artificial Intelligence | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 1,800
Intakes
Program start dateApplication deadline
2025-10-15-
2025-11-19-
About Program

Program Overview


AI and Data Science for managers

Marketing, Finance, HR, IT, Logistics, Sales, Production, Logistics, Customer Service, R&D, Quality, Purchasing, Legal, Communication...

Training session in Lorient

Join our exclusive session, organized in partnership with CCI Morbihan & CCI Bretagne, to discover how to harness AI and data for decision-making.
Join us from June 17 to 19, 2025 at the CCI Morbihan (19, Quai des Indes) in Lorient for hands-on, immersive training!


Certification

This training enables the validation of the skills block RNCP38584BC01 - Identify and define the challenges and impacts of various AI application domains -, part of the professional certification "AI Solutions Development Project Manager," at level 7, awarded by aivancity and registered in the RNCP under number 38584 (on ).


This certification can be accumulated over 5 years. You can choose to prepare for the entire title progressively over time or have your additional skills recognized through the VAE (Validation of Acquired Experience).


TARGET AUDIENCE AND PRESENTATION

This program is designed for any professional, whether they are a manager, executive, or expert, regardless of their field - Marketing, Finance, Human Resources, Information Systems, Logistics, Sales, Production, Customer Service, Research and Development, Quality, Purchasing, Legal, Communication.


It aims to provide a better understanding of the challenges posed by artificial intelligence and data for businesses, with an approach that emphasizes practical questions and case studies.


OBJECTIVES

This training will allow you to acquire:

  • Understanding and identifying the potential of artificial intelligence and the use of big data for one's organization, including the opportunities presented by generative AI, in order to detect the economic opportunities offered by the use of AI.
  • Analyzing the impact of using AI on the organization, taking into account the implications of generative AI, while understanding and anticipating the transformations in human and material resources in order to successfully implement it and ensure the sustainability of the envisaged solutions.
  • Structuring a data business model for one's organization by understanding the process of analyzing and processing massive data with the objective of driving growth and adding value for the customer/user.
  • Implementing an effective data management practice while considering aspects of security, protection, and quality assurance.
  • Identifying the human and ethical considerations of using AI and data, considering the regulatory framework and issues of bias and algorithm robustness, to contribute to the establishment of trustworthy and responsible technological innovations.

CONTENT

Module 1: Identifying and Understanding the Potential of AI for Your Organization

  • Artificial Intelligence in the context of a digital ecosystem: developments and practices
  • Understanding the AI black box: machine learning, deep learning and neural networks
  • Use cases in companies: benefits and challenges

Module 2: Data Science for Business Intelligence

  • Enterprise Data Science Practices: Methods, Approaches and Trends for the Future
  • Leverage the potential of data to drive your organization's growth: data collection, storage, cleansing, analysis and visualization, predictive analysis and modeling, classification and segmentation
  • Building and managing a team of data managers.
  • Structure your data business model

Module 3: Artificial Intelligence and Data Ethics

  • An AI of trust and responsibility
  • Regulatory and ethical framework for the use of AI and data in the enterprise
  • The ethical challenges of generative AI.
  • HR issues: working with intelligent machines, AI and data professions and job market,

Trainers / Instructors

Dr. Doreid AMMAR

  • Professor in Data Science and Computer Science | Academic Director
  • Areas of Expertise: Data Science, Data Mining, Machine Learning, Artificial Intelligence, The Internet of Things, Computer Networks

Dr. Tawhid CHTIOUI

  • Professor of Management | Founding President and Dean of aivancity
  • Areas of Expertise: Management, Management Control, Communication and Organizational Change, Informal and Panoptic Control, Governance and Organizational Performance

Dr. Etienne MAUFFRET

  • Professor and Researcher at aivancity | Program Director
  • Areas of Expertise: Distributed Systems and Algorithms, Data Management, Data Consistency, Autonomous Data, Multi-Agent Systems, Federated Learning

Dr. Nathalie DEVILLIER

  • Professor of AI Law and Ethics | Doctor of International Law
  • Areas of Expertise: Artificial Intelligence Systems: Ethics, European Law, Cybersecurity, Autonomous Mobility

AI and Data Science for managers

  • Prerequisite A minimum of 5 years of professional experience in a managerial position.
  • Location Paris-Cachan & Nice
  • Next session October 15, 16 and 17, 2025 (Paris Villejuif Campus), November 19, 20 and 21 (Nice Campus)
  • PRICE €1,800 EXCL. TAX

Support for individuals with disabilities

Our training programs are open to everyone.
If you have specific needs, especially related to a disability, please do not hesitate to contact us. Our team is ready to welcome you and address your needs. Find the welcome guide and all the information about the support and assistance available for our students and participants with disabilities!


Program Outline

Outline:


Module 1: Identifying and Understanding the Potential of AI for Your Organization

  • Artificial Intelligence in the context of a digital ecosystem: developments and practices
  • Understanding the AI black box: machine learning, deep learning, and neural networks
  • Use cases in companies: benefits and challenges

Module 2: Data Science for Business Intelligence

  • Enterprise Data Science Practices: Methods, Approaches, and Trends for the Future
  • Leverage the potential of data to drive your organization's growth: data collection, storage, cleansing, analysis and visualization, predictive analysis and modeling, classification and segmentation
  • Building and managing a team of data managers.
  • Structure your data business model

Module 3: Artificial Intelligence and Data Ethics

  • An AI of trust and responsibility
  • Regulatory and ethical framework for the use of AI and data in the enterprise
  • The ethical challenges of generative AI.
  • HR issues: working with intelligent machines, AI, and data professions and job market

Teaching:

  • The program has a duration of 6 days, divided into 3 sessions.
  • The sessions are held on April 10, 11, and 12, and April 24, 25, and 26, 2024.
  • The program is taught by a team of experts in the field of AI and data science.
  • The program uses a variety of teaching methods, including lectures, case studies, and group discussions.
  • The program also includes a testimonial and an exchange with a manager who has implemented AI solutions in his/her company, as well as a Business case fil rouge (guideline) to enrich the contents of the different modules.

€2,900 EXCL. TAX

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