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OpenLearning

Fundamentals of Artificial Intelligence​

via OpenLearning

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Overview

Master AI & Machine Learning for 50% Off
Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.
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This course introduces foundational artificial intelligence concepts, including AI history and applications, symbolic and machine-learning paradigms, classical search, logic, knowledge representation, fuzzy concepts, and basic paradigm selection.

Syllabus

  • Explain foundational AI concepts—definitions, history, applications—and differentiate symbolic vs. ML paradigms.
  • Apply core symbolic AI ideas by solving a small classical search problem and describe basic logic/knowledge-representation/fuzzy concepts.
  • Analyze simple problem scenarios and select an appropriate ML paradigm (supervised / unsupervised / reinforcement), justifying the choice with correct terminology.

Taught by

Universiti Tenaga Nasional

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