University diploma Artificial intelligence and intellectual property distance learning

Training system(s): Continuing education; Initial training;

Teaching language(s): English

Teaching methods: Fully distance learning


Recent advances in artificial intelligence (AI), accompanied by numerous regulatory developments, are overturning creative and innovative practices just as much as they are questioning the foundations of intellectual property (IP). Yet very few lawyers have sufficient expertise to grasp the impact of these new objects on their practice.

The "Intelligence Artificielle et Propriété Intellectuelle / Artificial Intelligence and Intellectual Property

"aims to fill this gap. The first university course exclusively dedicated to exploring the intersection between AI and IP, the courses offered over 5 modules between November and June, present the different modes of protection for AI and its products, (copyright, database law, trademark law, patents, trade secrets) as well as the rights associated with the data needed to train models. The course also includes a module dedicated to putting the societal challenges of AI into perspective (philosophy, ethics, sociology, economics, fundamental rights, responsibility), as well as a presentation of the regulatory framework framing its deployment. Another special feature of the course is that it includes an entire module dedicated to a technical introduction to the various components of an AI system (Module 1: Introduction to AI and machine learning).

This module provides a description of how the algorithms at the heart of AI work, accompanied by numerous application examples and practical exercises, without requiring any prior computer training.

The course is offered in distance mode, with group work and case study analysis throughout the year.

The benefits of training

  • The course can be taken entirely by distance learning (the first module is offered in "hybrid" mode). Participants can, if they wish, follow this module face-to-face in Strasbourg), enabling students to progress at their own pace and according to their constraints and objectives.
  • At the end of the course, participants will be able to boast not only in-depth knowledge of artificial intelligence law, but also an initial understanding of the technical and IT aspects of AI.


Recruitment criteria

The target audience for the DU is anyone (students or professionals) with an M1 in law, as well as practitioners specializing in intellectual property (IP attorneys, IP lawyers). The program is also open to professionals with an interest in artificial intelligence who can demonstrate initial experience in IP.

An admissions committee examines the candidate's application file to verify IP knowledge, English language skills and motivation.

Candidates are selected on the basis of their applications.


Candidates must complete an online pre-registration form accessible via this link.

The final decision regarding your admission will be communicated in September.

Application campaign 2024-2025: from 20 May to 08 September 2024

Tuition fees 2024-2025

(Subject to approval by the university board of directors)

First-time registration fee :

  • Initial training:1 070
  • NB: In addition to the above tuition fees, all students in initial training at a higher education institution must pay:

    For more information, visit the dedicated page on the university website.

  • Continuing education (including university fees): 5 000€

Fees for re-registration in the diploma:

  • Initial training: 535€ (excluding university fees)
  • Continuing education:1 670€ (including university fees)

Compulsory prerequisites

  • Master required
  • Good knowledge of English

Teaching programs

Module 1: Introduction to AI and machine learning

  • Acquire the basic principles of computer technology and data science
  • Learn how to write a short program ("hello world"), compile it and run it
  • Learn how to write a short artificial intelligence algorithm in Python
  • Understand, with precise distinction, the various techniques of artificial intelligence and data science

Module 2: AI in context

  • Acquire a general legal culture concerning the relations between artificial intelligence and Law
  • Understand the ethical and societal challenges related to artificial intelligence
  • Understand the technical and legal cybersecurity challenges related to AI
  • Understand the challenges of artificial intelligence in terms of fundamental rights

Module 3: Data protection and AI, Trade secrets and AI

  • Understand the legal issues related to data protection: business secret, "ownership" of data, rights to personal data.
  • Understand the legal framework related to the circulation of data: free circulation, competition law, open licenses.

Module 4: Copyright, trademarks, designs and AI

  • Develop an in-depth understanding of the various issues related to the protection of artificial intelligence processes by copyright
  • Understand the issues related to the copyright protection of the products obtained by artificial intelligence processes: creativity, protection, ownership of rights
  • Understand the use of artificial intelligence for the enforcement of copyright

Module 5: Patent law and AI

  • Develop an in-depth understanding of all issues related to the patent protection of artificial intelligence applications and their products
  • Understand the use of artificial intelligence, from patent drafting to “patent landscaping”...
  • Understand the use of artificial intelligence for the implementation of patent rights

or click here.

Time Schedule 2024-2025

The training represents an hourly volume of 120 CM hours per year, carried out remotely (via the Moodle platform).

Each module represents a volume of 24 hours of lectures: 12 hours of personal work and 12 hours of teaching.

For the academic year 2024-2025, teaching will take place according to the following calendar (hours are CET) :

Module 1:

  • 8-9 November 2024 : hybrid (Strasbourg / Zoom), 9:00-12:30 / 14:00-17:00
  • 22-23 November 2024 : hybrid (Strasbourg / Zoom), 9:00-12:30 / 14:00-17:00
  • 7 December 2024: Hackaton (Zoom), 9:00-13:00
  • Exam : 13 December 2024, 18:00 - 19:00 (online)

Module 2:

  • 6-11 January 2025 : online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)
  • 20-25 January 2025 : online, 18:00 - 20:00 ( Saturday: 10:00 - 12:00)
  • Exam : 7 February 2025 : online, 18:00 - 19:00

Module 3:

  • 17-22 February 2025 : online, 18:00 - 20:00 ( Saturday: 10:00 - 12:00)
  • 3 - 8 March 2025 : online , 18:00 - 20:00 ( Saturday: 10:00 - 12:00)
  • Exam : 21 March 2025, 18:00 - 19:00 ( online )

Module 4:

  • 24-29 March 2025 : online, 18:00 - 20:00 ( Saturday: 10:00 - 12:00)
  • 7-12 April 2025: online, 18:00 - 20:00 ( Saturday: 10:00 - 12:00)
  • Exam : 25 April 2025 : online, 18:00 - 20:00

Module 5:

  • 12-17 May 2025 : online, 18:00 - 20:00 ( Saturday : 10:00 - 12:00)
  • 2-7 June 2025 : online, 18:00 - 20:00 ( Saturday : 10:00 - 12:00)
  • Exam : 13 June 2025, 18:00 - 19:00 ( online )