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Artificial intelligence: Concepts, challenges, and opportunities

Individual course

Max amount of FITech students: 50

On this course, we will cover topics such as

  • algorithmic thinking
  • probability theory and Bayesian concepts
  • concepts and review of machine learning algorithms
  • game theory and decision making
  • NLP workflow: text mining, word embedding, skip-grams, cbow
  • programming tools: Jupyter and Spyder
  • Keras and applications
  • Scikit learn
  • Orange data management tool
  • ethical and societal challenges and categories of ethical challenges of AI

After completing the course, the student is able to:

  1. Define and explain various artificial intelligence (AI) concepts, challenges, and opportunities: e.g., problem-solving, knowledge representation, machine learning, decision-making, natural language processing, and expert systems.
  2. Explain fundamental algorithms and the related mathematical and programming concepts of AI.
  3. List applications of AI in various fields.
  4. Use AI software or tools for specific purposes.
  5. Recognize ethical problems related to AI and to suggest constructive solutions to those.

Course completion methods:

Team and/or individual exercises and quizzes.

Student can take this course online but not on their own pace.

More information in University of Vaasa’s course page.

Responsible teacher

University of Vaasa
Mohammed Elmusrati

Contact person for applications

FITech Network University
Monica Sandberg , Student services specialist
Start here
Start here
ICT Studies
AI and machine learning
Course code:
0 €
Teaching period:
Application deadline:
Application period has ended
Host university:
University of Vaasa
Study is open for:
Adult learner
Teaching methods:
Study suitable for:
Anyone interested in learning the basics of AI
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This course is included in the following theme