Artificial intelligence 101 course aims at building the base knowledge, and hints for artificial intelligence knowledge seekers where it is divided into five themes with general information for each so that learners can choose their interest in AI after completion their journey.
What you will learn?
- Basic knowledge about AI history, definition, and use cases.
- Types of artificial intelligence systems based on their abilities and functionalities.
- Basic knowledge about the science behind artificial intelligence.
- Data science concept and its impact on artificial intelligence systems.
- Emerging artificial intelligence technologies like Emotion AI and Edge AI.
Course Content
The history of AI
Required Skills and Competencies
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Types of AI
Types of AI
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Narrow AI, General AI, and Super AI
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Reactive Machines and Limited Memory
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Theory of Mind and Self-Awareness
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The Science behind AI
What is Knowledge?
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Expert Systems
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Mathematics behind AI
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How does AI work?
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Data Science
Data Science Definition
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Data Science Life Cycle
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Impact of AI on Data Science
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Competencies of Data Science
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AI Emerging Technologies
AI Code of Ethics
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Augmented Intelligence
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Edge AI and Explainable AI
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NLP and Cognitive Computing
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