École Hexagone’s entirely innovative Artificial Intelligence programme awaits you!
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.
Be part of the Artificial Intelligence revolution
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.
Cursus of study: M1+M2 = Bac+5
Methodological and practical approaches
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.
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.
Already rewarded and recognized
Cabinet EDUNIVERSAL awarded the Program Launch Prize to our AI Engineer training.
This prize rewards the efforts and the high quality work of Doctor PACHON and his team to offer one of the best program in AI to his students and work-study students.
Detailed programme 1st and 2nd years
The entire course offers a theoretical base, a structuring environment base, a development base and an opening base.
1st year - Master 1
- Signal processing, electronics, sensors, embedded systems and 3D printing
- Probability and statistics, graph theory
- C, C++, Python and R
- Functionnal programming, logic
- Advanced programming (A*, genetics, decision forests)
- Machine Learning
- Automatic systems (agents), digital twins and robotics
- Big Data, Data Analysis, SQL and NoSQL
- Entrepreneurship in AI
- Docker, Kubernetes and Continuous Integration
- Project management and testing methodology
- Communication and presentation techniques
At the end of this year, learners will have the profile of Data Analyst and Machine Learning engineer.
In the themes taught, pratical and curiosity are essential.
These two points will make it possible to understand the functioning of everything that the students will manipulate to go further so that they are able to create and innovate.
It is to further increase the intellectual curiosity of our students and this approach through experimentation that the program was designed.
2nd year - Master 2
- Advanced Big Data, AirFlow
- Business Intelligence
- The role of AI in Society
- Ethis in the 21st century
- Introduction to Deep Learning
- Vision (2D/3D) by Deep Learning
- Natural Language Processing
- Sound processing and creation
- Emotion recognition
- Digital animation and image creation (2D/3D)
- Virtual and augmented realities (VR/AR)
- Methodology and support for dissertation
The 2nd year of the training is designed to do data mining programming with neural network techniques. Learning models with artificial intelligence are supervised, unsupervised and/or automatic. This is a complete course in all environments of so-called "artificial" computing.
At the end of this program, graduates will be able to evolve in the professions of Analyst, Architect, Designer, Developer and Engineer in artificial intelligence.
Reconstituted professional scenarios: these are fictitious or real cases where the candidate must provide written and/or oral deliverables. They are carried out individually or collectively, supervised by trainers and consultants from partner companies. The candidate will propose on the one hand a technical solution and on the other hand all types of documentation (specifications, instructions, manual, business plan, etc.);
Case studies: It allows the candidate to look into a real and past situation, where he will have to collect information to understand and analyze the situation and the context of a problem posed and to draw conclusions;
Practical work: These are exercises carried out in the center over a limited period of time, generally 2 to 4 hours, where the candidates will have to apply their technical know-how;
Professional dissertation and oral defense.
IT, one of the most promising careers in the future!
191,000 jobs are to be filled in the field of IT in 2022 alone.
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 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.
With quality training, you will have access to jobs in artificial intelligence!
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.