Course Overview

Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. This syllabus covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and Humans in work.

Artificial and Human Intelligence: An Introduction and History
Examples of AI: Benefits, Challenges and Risks
An introduction to Machine Learning
The Future of Artificial Intelligence – Human and Machine Together

  • Recall the general definition of human and Artificial Intelligence (AI).
  • Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
  • Understand that ML is a significant contribution to the growth of Artificial Intelligence.
  • Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
  • Describe the challenges of Artificial Intelligence, and give general examples of the limitations of AI compared to human systems, general ethical challenges AI raises.
  • Demonstrate understanding of the risks of Artificial Intelligence, identify a typical funding source for AI projects and list opportunities for AI.
  • Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together;
  • List future directions of humans and machines working together.

The Artificial Intelligence Essentials certificate is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services.

None.

• Exam Duration: 30 minutes
• Exam Format: 20 Multiple Choice Questions
• Exam Pass Mark: 65%
• Electronic Devices Permitted: No
• Open Book: No
• Prerequisites: None.

Note – This certificate does not expire or require renewal.

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