BCS Essentials Certificate in Artificial Intelligence Practice Exam
BCS Essentials Certificate in Artificial Intelligence
About BCS Essentials Certificate in Artificial Intelligence
The BCS Essentials Certificate in Artificial Intelligence 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.
The certification covers the possible benefits, the basic process of Machine Learning (ML), types of artificial intelligence, the challenges and risks associated with an AI project and the future of AI and Humans in work.
Who should take the exam?
- Individuals with an interest in Artificial Intelligence (AI) in an organisation, especially those working in fields such as engineering, science, knowledge engineering, finance, or IT services.
- Middle and senior managers operating or assembling teams to create AI subordinate applications and services, that need to understand the context of AI in an industrial setting.
Course Structure
1. Artificial and Human Intelligence: An Introduction and History (25%)
● Recall the general definition of human and Artificial Intelligence (AI);
● Describing ‘learning from experience’ and how it correlates to Machine Learning (ML)
● Understanding that ML is a meaningful contribution to the growth of Artificial Intelligence;
● Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
2. Examples of AI: Benefits, Challenges and Risks (30%)
● Explain the benefits of Artificial Intelligence
● Describe the difficulties of Artificial Intelligence
● Demonstrate an understanding of the risks of Artificial Intelligence
● Identify a common funding source for AI projects
● List possibilities for AI.
3. An introduction to Machine Learning (35%)
● Demonstrate understanding of the AI intelligent agent description
● Give typical cases of Machine Learning
● Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality;
● Describe and give illustrations of the forms of ML
● Describing the basic schematic of a neutral network.
4. The Future of Artificial Intelligence – Human and Machine Together (10%)
● Demonstrate a knowledge that Artificial Intelligence (in particular, Machine Learning) will encourage humans and machines to work together;
● List future directions of humans and machines working together.
Exam Format
- Exam Name: BCS Essentials Certificate in Artificial Intelligence
- Number of Questions: 20
- Exam Fee: £144 (£120 +VAT)
- Exam Format: Multiple-choice
- Passing score: 13/20
- Time Given: 30 Minutes
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