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 Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI. This Foundation certificate includes and expands on the knowledge taught in the EXIN BCS Essentials Certificate in Artificial Intelligence.
Certification information
You will be able to
- Describe how Artificial Intelligence (AI) is Part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’
- Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description
- Explain the Benefits of Artificial Intelligence (AI)
- Describe how we Learn from Data – Functionality, Software and Hardware
- Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together
- Describe a ‘Learning from Experience’ Agile Approach to Projects
Who is this certification for?
The EXIN BCS Artificial Intelligence Foundation certification 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, education or IT services.
Main subjects
Ethical and Sustainable Human and Artificial Intelligence (AI)
Artificial Intelligence (AI) and Robotics
Applying the Benefits of Artificial Intelligence (AI) – Challenges and Risks
Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox – Theory and Practice
The Management, Roles and Responsibilities of Humans and Machines
Required reading
Human + Machine – Reimagining Work in the Age of AI
Paul R. Daugherty and H. James Wilson
Harvard Business Review Press (2018)
ISBN: 978-1633693869
High-Level Expert Group on Artificial Intelligence Ethics Guidelines for Trustworthy AI
European Commission
B-1049 Brussels (April 2019)
Artificial Intelligence, A Modern Approach (3rd edition)
Stuart Russell and Peter Norvig
Pearson (2016)
ISBN: 9781292153964
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
D. Aurélien Géron
O’Reilly (2017)
ISBN: 9781491962299
The Singularity is Near
E. Ray Kurzweil
Duckworth Overlook (2005)
ISBN: 9780715635612
The Fourth Industrial Revolution
F. Klaus Schwab
Penguin Random House (2016)
ISBN: 9780241300756
Key Benefits
- Helps create a understanding of AI and the benefits it can bring
- Developed with experts from the industry
- Training and self-study options
Exam Details
Duration: 01 hour
Number of Questions: 40 (Multiple Choice)
Pass mark: 65%
Open book: No
Electronic equipment allowed: No
Level: Foundation
ECTS Credits: 2
Languages: Chinese, Dutch, English, Japanese, Portuguese
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