Applied Artificial Intelligence

• You already have a degree and/or you are an innovative entrepreneur or ambitious business developer.
• You're passionate about technology and want to be a part of a quickly evolving world of AI
• You're creative and a problem solver.
  
• You enjoy analysing problems and finding systematic solutions.
• You know the basics of programming. No experience with programming? We recommend finishing a one-year programming course first. Afterwards you can enrol for this postgraduate degree.

You are expected to master the basics of programming, so what does this entail?

The postgraduate course is a very hands-on course. During the different workshops, you will usually use a computer and get to work with Python. You can find a lot of tutorials online about Python and programming. Main concepts you need to master are: variables, basic arithmic functions, string manipulations, looping and conditionals.
An extensive knowledge of Python is required as we use extended standard libraries during the classes.

Is attendance required for each class?

There is no obligation. But the strength of the program is the personal interaction with teachers and students. All classes are also professionally streamed and recorded if you cannot attend every class live. There are also group works, so your attendance is recommended for those projects.

When do the classes take place?

Classes always take place on Tuesdays between 9 am and 6 pm at the latest, which allows for combination with work.

What language is the course taught in?

All courses are taught entirely in English. However, most teachers can also answer your questions in Dutch.

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.

AI fundamentals

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?

Data Science

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.

Machine Learning

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 & Big Data

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.

AI Project

In this course, you will be immersed in state-of-the-art AI technologies to prepare you to develop your own project independently or as part of a team, under the guidance of our own AI experts. Previous student projects include: - Smart Home with an AI model to manage your electricity use - AI Platform that teaches you sign-language - Drones that follow you based on facial recognition - And many more...

Machine Learning Operations (MLOps)

In the professional and academical world a lot of models are created but only a few make it to deployment and/or production environment. The reason for this is that most AI-experts still manually organise their worksflows. Machine Learning Operation (MLOps) should bring an end to this. In this course we talk about the challenges within MLOps, the workflows and we will use industry standard MLOps tools.

Internship (Optional)

The internship offers students a unique opportunity to gain several weeks of hands-on experience at leading companies such as ML6, Imec and Human.ai. Students work on real AI projects, learn from experts and expand their professional network. This hands-on experience allows students to apply their acquired knowledge, gain insight into the day-to-day practice of AI and prepare for a successful career while making valuable connections with potential employers in the industry.

After completing our postgraduate degree in Artificial Intelligence, students will have the crucial knowledge and skills to be successful in the AI domain. They will be able to apply machine learning and deep learning techniques, develop effective solutions to complex problems and integrate ethical considerations into AI applications. In addition, our programme offers extensive networking opportunities and access to top industry companies, such as ML6. Check out the blog where one of our students shares his inspiring internship experience at ML6, where he gained valuable hands-on experience and contributed to pioneering projects. Invest in your future and open the door to a rewarding career in the fast-growing world of artificial intelligence with our postgraduate degree.