Course Overview
Artificial intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. This course prepares you to take the EXIN BCS Artificial Intelligence Essentials exam, which tests your knowledge and understanding of the terminology and general principles of AI. This course covers the potential benefits and different types of AI, the basic process of machine learning (ML), the challenges and risks associated with AI projects, and the future of AI in the workplace.
Who should attend
This course is ideal for anyone with an interest in (or the need to implement) AI in an organization—especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services.
Course Objectives
After completing this course, you should be able to:
- Understand the general definition of human and artificial intelligence
- Describe “learning from experience” and how it relates to machine learning (Tom Mitchell’s explicit definition)
- Understand that ML has made 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, including the general ethical challenges AI raises
- Demonstrate an understanding of the risks of artificial intelligence, identify typical funding sources 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 and trends for humans and machines to work together
- Provide the information and skills needed to prepare for the EXIN BCS Artificial Intelligence Essentials exam
Certifications and related exams
- This course prepares you for the EXIN BCS Artificial Intelligence Essentials exam.
Course Content
- Module 1: Artificial and Human Intelligence • An Introduction and History
- Module 2 Examples of AI • Benefits, Challenges and Risks
- Module 3 An introduction to Machine Learning—Part 1
- Module 4 An introduction to Machine Learning—Part 2
- Module 5: The Future of Artificial Intelligence
English