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BICSI AIE2.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Introduction to Artificial Intelligence | - General principles and types of artificial intelligence - Artificial intelligence terminology and definitions - Historical development of artificial intelligence - Benefits and applications of artificial intelligence |
| Topic 2: Enablers of Artificial Intelligence | - Technologies and capabilities enabling AI - Fundamental concepts of machine learning |
| Topic 3: How Organisations Use Artificial Intelligence | - AI governance activities
- Project management approaches |
| Topic 4: Future Planning and Impact | - Artificial intelligence roles and career paths - Human and machine collaboration - Real-world applications of artificial intelligence - Impact of artificial intelligence on society - The future of artificial intelligence - AI literacy and skills development |
| Topic 5: Finding and Using Data for Artificial Intelligence | - Generative artificial intelligence - Characteristics of data quality - Data visualisation techniques and tools - Stages of the machine learning process - Risks associated with handling data for AI - Data definitions and terminology |
| Topic 6: Ethical and Legal Considerations | - Legal considerations and responsible use of AI - Ethical considerations in artificial intelligence |
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