BCS Essentials Certificate in Artifical Intelligence - AI19
- Exam Code: AI19
- Exam Name: BCS Essentials Certificate in Artifical Intelligence
- Updated: Aug 25, 2026
- Q & A: 0 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Artificial Intelligence | 25% | - Types of AI: Narrow/Weak AI vs General/Strong AI - Terminology and core concepts - Definition and history of AI |
| Benefits and Applications of AI | 20% | - Business and industry use cases - Productivity and efficiency gains - Innovation opportunities |
| Machine Learning Fundamentals | 25% | - Definition and difference from traditional programming - Overview of ML techniques - Basic ML process: data, training, validation, deployment |
| Challenges, Risks and Ethics | 20% | - Ethical, legal and social considerations - Technical and operational challenges - Bias, transparency and accountability |
| Future of AI and Human Collaboration | 10% | - Responsible AI development - Human-AI interaction models - Impact on work and society |
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