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Upcoming Artificial Intelligence Essentials Training

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OVERVIEW

Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Essentials exam tests a candidate’s knowledge and understanding of the terminology and the general principles. 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.

COURSE OUTLINE

1. Artificial and Human Intelligence: An Introduction and History

1.1 Recall the general definition of human and Artificial Intelligence (AI)

1.2 Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition)

1.3 Understand that ML is a significant contribution to the growth of Artificial Intelligence

1.4 Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’

2. Examples of AI: Benefits, Challenges and Risks 

2.1 Explain the benefits of Artificial Intelligence

2.2 Describe the challenges of Artificial Intelligence

2.3 Demonstrate understanding of the risks of Artificial Intelligence

2.4 Identify a typical funding source for AI projects

2.5 List opportunities for AI

3. An introduction to Machine Learning 

3.1 Demonstrate understanding of the AI intelligent agent description

3.2 Give typical examples of Machine Learning

3.3 Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality

3.4 Describe and give examples of forms of ML

3.5 Describe the basic schematic of a neutral network

4. The Future of Artificial Intelligence – Human and Machine Together

4.1 Demonstrate an understanding that Artificial Intelligence (in particular Machine Learning) will drive humans and machines to work together

4.2 List future directions of humans and machines working together

BENEFIT

  • 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.

WHO SHOULD ATTEND

  • Engineers
  • Scientists
  • Professional research managers
  • Chief technical officers
  • Chief information officers
  • Organizational change practitioners and managers
  • Business change practitioners and managers
  • Service architects and managers
  • Program and planning managers
  • Service provider portfolio strategists / leads
  • Process architects and managers
  • Business strategists and consultants
  • Web page developers

EXAM

Examination type : Multiple-choice Questions

Exam duration : 30 minutes

Number of questions : 20

Pass mark: 65% (13 / 20 questions)

Open book/notes : No

Electronic equipment/aides permitted : No

TRAINER

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GALLERY

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