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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: Finding and Using Data for Artificial Intelligence | - Data visualisation techniques and tools - Data definitions and terminology - Stages of the machine learning process - Characteristics of data quality - Generative artificial intelligence - Risks associated with handling data for AI |
| Topic 3: How Organisations Use Artificial Intelligence | - Identifying opportunities to use AI - AI governance activities
|
| Topic 4: Ethical and Legal Considerations | - Ethical considerations in artificial intelligence - Legal considerations and responsible use of AI |
| Topic 5: Enablers of Artificial Intelligence | - Technologies and capabilities enabling AI - Fundamental concepts of machine learning |
| Topic 6: Future Planning and Impact | - Human and machine collaboration - The future of artificial intelligence - Real-world applications of artificial intelligence - AI literacy and skills development - Impact of artificial intelligence on society - Artificial intelligence roles and career paths |
