The classic MOOC on artificial intelligence. Discover the basics of AI and how AI can be put to use.
| Duration | 4 |
| Workload in hours | 80 |
| Admission procedure | Open to all |
| Assessments | quizes, excerises |
| 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. |
| Related skill | http://data.europa.eu/esco/skill/3a2d5b45-56e4-4f5a-a55a-4a4a65afdc43 |
| 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. |
| Related skill | http://data.europa.eu/esco/skill/e465a154-93f7-4973-9ce1-31659fe16dd2 |
| Assessor type | automated |
| Assessment format | quiz, peer evaluated exercises |
| Awarding opportunity | certificate of participation, part of a nanodegree |
| Contact form | https://www.udacity.com/contact |
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