Learn the fundamentals of AI with Fredrik Heintz

The online course Elements of AI is intended both for those who want to learn more about what AI is and for those who want to take the first steps towards working with AI. Examiner for the course is Fredrik Heintz, a global leader in AI research.

Fredrik Heintz Anna Nilsen

As a result of the large number of applicants for courses this autumn, the government has provided more resources for institutions of higher education. LiU has been awarded SEK 7.6 million to use in its initiatives in lifelong learning. One of the relevant LiU courses is Elements of AI, where Fredrik Heintz, a global leader in AI research, is examiner.

 

Why is the Elements of AI course important?

Artificial intelligence affects everyone, and those who take the course gain a basic insight into what AI is and what AI can do. Important concepts such as “AI”, “machine learning” and “deep learning” will be explained. The course will also give concrete examples of AI algorithms. Students will gain insight into how problems are solved with the aid of AI. How can a computer play noughts and crosses? How can a computer deal with uncertainty? How does a spam filter work? A spam filter is a concrete example of an algorithm that has learnt which emails should be allowed to pass and which should be removed.

 

 

Who should take the course?

No special prior knowledge is necessary apart from the general entry requirements. Students take the course at their own chosen rate of study. It is intended for anyone who is curious and who wants to understand more about what AI is, and for anyone who wants to take the first steps towards working with AI in some way. The mathematical skills required are equivalent to grade 9 in compulsory school. They deal with probability, since the course discusses uncertainty. Elements of AI is conducted fully online, and can be taken at any time.

 

What does the course contain?

The course has six parts, of which the first discusses what AI is and the second how AI can be used to solve problems. We then go on to look at how AI is used in practice, machine learning, neural networks, and finally, AI and the future. Elements of AI will provide a more realistic image of what is possible with AI. It will enable participants to decide whether claims about AI are reasonable or not, something that is extremely useful in a field in rapid development.

 

For more information and to apply, visit Elements of AI.

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