The classic MOOC on artificial intelligence. Discover the basics of AI and how AI can be put to use.
|Workload in hours||80|
|Admission procedure||Open to all|
|Type of credential||Open Badge|
|ISCEDF Code||0619 - Information and Communication Technologiesn.e.c.|
|Learning settings||formal learning|
|Learning outcome||machine learning|
The principles, methods and algorithms of machine learning, a subfield of artificial intelligence. Common machine learning models such as supervised or unsupervised models, semi- supervised models and reinforcement learning models.
|Learning outcome||principles of artificial intelligence|
The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.
|Assessment format||quiz, peer evaluated exercises|
|Awarding opportunity||certificate of participation, part of a nanodegree|
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