The rapidly evolving field of Artificial Intelligence, or AI, will in the future require many professionals with the technical skills and knowledge to master the various AI methods, while being aware of the ethical and symbolic issues involved.
To meet this new demand, École Hexagone is offering its AI course of study, which looks to the future and to excellence...
Using new technologies increases the user’s practical knowledge. The more the offers simplify everyday life, in terms of time and comfort, the more the so-called smart applications are useful to and anticipated by a wide audience.
There is no doubt that the needs exist, and IT designers must be efficient and attentive to requirements. Student engineers must be able to understand, construct and interpret a customer’s request, but must also be proactive and persuasive while limiting production errors.
For this to happen, the higher education courses must meet the requirements of industry and train bright, people-focused future employees.
Our unique programme perfectly responds to the growing demand from companies. Its content enables students to acquire a good capacity for analysis and abstract thinking, and strong mathematical, database, learning programme design and data mining skills.
Applications and projects throughout the course such as the design of autonomous intelligent agents, computer vision, intelligent learning, and concepts in images, sounds and animations make this course a required tool for jobs in Big Data, Automatic Machine, Machine Learning and Deep Learning. This course is currently only available in Versailles.
Under the responsibility 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 planned around understanding, developing a career in, communicating and responding to the fields of Artificial Intelligence.
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
In the subjects taught, practice and curiosity are essential. These two points will help students to understand the functioning of everything they work with so that they can go further and be ready to create and innovate.
The programme has been designed to further develop our students’ intellectual curiosity and this 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 over the period 2021-2022
Digital 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 grow. The number of jobs in the IT sector is expected to continue to grow over the next ten years, at a much higher rate than for all occupations (+ 1.8%)
Source: Report on “the professions of 2022” by France Stratégie, a think tank reporting to the Prime Minister.
In industries such as automotive, aviation and rail, in the fields of insurance and finance, in communities to reduce pollution with the challenges of recycling and clean production, in the agri-food sector to produce better and faster, and also in the world of entertainment such as digital games and animations, employability linked to AI is increasingly vast.
This course trains you for jobs in all sectors where you are required 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 Management, Data Architect, Data Scientist, Database Consultant, AI Project Manager, Deployment Manager, and more.