We provide you with the necessary tools, techniques and insights to become an all-round player in the field of artificial intelligence. The first semester will be all about the foundations of artificial intelligence with deep insights into data science, machine learning and big data. The second semester will have a focus on practicality, where intelligent interfaces, NLP platforms, speech platforms, computer vision and robotics will be at the centre of our programme. Finally, you also get the opportunity to gain experience in the field during an internship at an AI company.
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.
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.
We offer you a one-year course that provides you with the tools, techniques and knowledge to become an all-round player in the field of applied artificial intelligence. The lessons always take place on Friday, which makes combination with work possible.
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.