During the introductory week you will be immersed in various aspects of AI:
How does AI learn, which techniques and applications are there, and what are the pitfalls and limits that you have to take into account?
You become acquainted with the entire work chain of the data scientist, from collecting and processing the data over modelling the problem to deliver the result to the customer.
We always emphasize the pitfalls and the boundaries of AI and we ensure that our results are ethically responsible and safe.
We dig deeper into the core of AI: machine learning.
We deal with regression and classification, investigate the functioning of neural networks, deep learning, genetic algorithms, clustering, etc.
We learn to train models using existing libraries, considering the limitations of the data set that we are starting from.
IoT is getting more and more important in our daily lives. Smart cities, industry 4.0, e-health, the applications are countless.
Through this evolution, loads of data are being created that all have to find their way to the Cloud where they are processed into information that is of interest to the user.
In this course we learn techniques to process and visualize large amounts of data in an efficient way. We are also introduced to the newest trend of edge computing that places less pressure on the Cloud.
This course deals with the "brain" aspects of AI that are necessary for a computer to communicate with people: hearing, seeing, understanding, speaking.
Starting with the principles of computer vision, speech processing and NLP, we build towards the integration of the various components in intelligent virtual assistants.
This practical course examines the aspects of AI that are necessary for a robot to function:
Starting from the sensors, we learn how a robot processes information, navigates, collaborates in a group and teaches itself new techniques through reinforcement learning.
To apply this practical knowledge to real-life examples, you have the opportunity in this course to follow an internship in a company that is involved with AI on a daily basis.
The postgraduate is very application-oriented. You will have workshops every week using the computer. Mostly we will be using Python. If you search the internet, you can find some excellent basic Python tutorials. Be sure to understand basic programming concepts like variables, basic arithmetic functions, string manipulations, looping and conditionals. No extensive knowledge of Python is required since we will mostly be using standard libraries.
No, you don’t. The strength of our programme though is the personal interaction between lecturers and students and hence the possibility to ask questions during the whole day. Keep in mind that for group projects, your presence is mandatory.
The only prerequisite to start is holding a bachelor or higher degree. Please take into account that we do expect a basic level of programming skills. Did you never program before? Then you can first follow a one-year programming course and then join the postgraduate course.
You can find all information on EhB’s website and you can register easily online at https://voorinschrijving.ehb.be. There you will also find everything about the registration fee and educational leave. Are you registered online? Take your file to the student secretariat of the campus where you will soon be taking lessons
Your training will take place at campus Kaai. Here you will find all the necessary classrooms, labs, computer rooms, classrooms for self-study and open labs. In the Business Lab, Fab Lab, Media Lab and Design Lab you can learn and experiment independently, but you can also collaborate with professionals from different IT disciplines.
Artificial Intelligence (AI) is quickly emerging as one of the most important technologies of our time. Recent developments in the way a computer improves its performance without human interference, have led to a whole new generation of applications that are changing the way we work and live.
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