This course is eligible

www.moncompteformation.gouv.fr

Prerequisites
Prior knowledge of data science and machine learning.
Upcoming Intakes
12, 13, 26 and 27 June – 10 July: the exam date
Price
1,950 euros excluding VAT
Location
Paris-Villejuif Campus
Professionnel
13
Links
Presentation
Target Audience
Objectives
Contents
Useful Links
Trainers
Martial HENNIQUE
Admissions Manager

Certification

This module is the third and final part of the ‘Neural Networks and Deep Learning’ certificate . The aim is to deploy a responsible deep learning-based solution, focusing on interpretability and the social and ethical implications.

This qualification can be accrued over a period of 5 years

You can choose to work towards the full qualification gradually over time or to have your additional skills recognised through the VAE.
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%
Graduation rate
100%
Degree pass rate

Objectives

This course will provide you with:
  • An understanding of deep neural networks
  • Hands-on experience with deploying and hosting an AI model.
  • The tools to design responsible deep learning solutions that address social and ethical challenges.
Contents
Module 1
Module 1
Interpretability of artificial neural networks

  • How can we properly understand and explain what happens in an artificial neural network? Modelling as a ‘black box’.

  • The main concepts covered in this module are: interpretability, a model’s action plan and policy, and the Python libraries SHAP and LIME

Module 2
Module 2
Deployment of a deep learning model

  • A practical example of deploying a deep learning model and a focus on a few specialised frameworks.

  • The main topics covered in this module are: deployment, data science workloads, and the Strealit and FastAPI frameworks.

Module 3
Module 3
Responsible deployment of a deep learning model

  • A closer look at model interpretability and consideration of the social and ethical implications of deep learning.

  • The main concepts covered in this module are: deep learning models, interpretability and deployment.

Click below to view the details of this certificate on the CPF funding website

Moncompteformation.gouv