In the future, the rapidly evolving field of artificial intelligence, or AI, will require many professionals with the right technical skills and knowledge to master the various AI methods, while being aware of the ethical and symbolic issues it represents.
It is to meet this new demand that École Hexagone is offering its forward-looking AI course, with its emphasis on excellence.
When people use new technologies their practical knowledge increases. The more these technologies simplify everyday life, in terms of time and comfort, the more so-called smart applications are useful to and anticipated by a wider audience.
There is no doubt that a need exists, and that designers must be effective and attentive to requirements. Student engineers must be able to understand, construct and interpret a customer’s request, but must also be proactive and persuade, while limiting production errors.
For this to happen, higher education courses must meet the requirements of industry and train brilliant, people-focused future employees.
Our innovative programme responds perfectly to the growing demand from companies. Its content enables students to acquire good analytical skills and the capacity for abstract thinking, as well as strong mathematical, database, learning programme design and data mining skills.
Throughout their course, students apply what they learn and work on projects, such as the design of autonomous intelligent agents, computer vision, intelligent learning and concepts in images, sounds and animations, which make this course directly relevant to jobs in big data, automatic machines, machine learning and deep learning. This course is currently only available in Versailles.
Under the leadership of Dr Cyril-Alexandre Pachon, Doctor in Computer Science, Systems and Communication, who has specially designed this programme for École Hexagone, our two-year training course is focused on understanding, communicating about and responding to the field of artificial intelligence, as well as developing a career in it.
Signal processing, electronics, sensors, embedded systems, 3D printing
Probability and statistics, graph theory
C, C++, Python, R
Functional programming, logic
Advanced programming (A*, genetics, decision by forests)
Automatic systems (agents), digital twins and robotics
Big Data, Data Analysis, SQL and NoSQL
Entrepreneuship in AI
Docker, Kubernetes, Continuous Integration, Project management and testing methodologies
Communication and presentation techniques
Advanced Big Data, AirFlow
The role of AI in Society
Ethics in the 21st century, critical thinking
Introduction to Deep Learning
Vision (2D/3D) by Deep Learning
Natural Language Processing
Sound processing and creation
Digital animation, image creation (2D/3D)
Augmented Reality (2D/3D)
Methodology and support for dissertation
Curiosity and practice are essential to the study of all these subjects. These two things will help students to understand the functioning of everything they encounter so that they can go one step further and be ready to create and innovate.The programme has been designed to further develop our students’ intellectual curiosity and this experimental approach.
The programme has been designed to further develop our students’ intellectual curiosity and experimental approach.
Technical assessments, case studies, professional role-plays, preparation and presentation of an activity report, group and individual projects, manufacturer certification, professional dissertation and oral presentations.
191,000 IT jobs to be filled between 2021 and 2022
191,000 IT jobs to be filled between 2021 and 2022Digital technologies are seen as strategic, even vital, for the economies of the future, both in Europe and in OECD countries, and are expected to continue to develop. The number of jobs in the IT sector is expected to continue to increase over the next ten years, at a much higher rate than for occupations generally (+ 1.8%).
Source: Report on “professions in 2022” by France Stratégie, a think tank reporting to the prime minister.
In industries like automotive, aviation and rail; in the fields of insurance and finance; in local authorities working to reduce pollution, recycle and ensure cleaner production; in the agri-food sector wanting to produce better and faster; and also in the world of entertainment, such as digital games and animations, the employability opportunities linked to AI are increasingly vast.
This course trains you for jobs in all sectors in which there is a need to make programmes to improve everyday human life, and more specifically as an embedded systems developer, machine learning engineer, AI developer, data engineer, data analyst, data manager, data architect, data scientist, database consultant, AI project manager, deployment manager, and more.