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BICSI AIF2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Future Planning and Impact — Human Plus Machine | 15% | - Real-world AI applications - Roles and career opportunities in AI era - Human-machine collaboration and consciousness - Impact of AI on society and future trends |
| Introduction to AI and Historical Development | 15% | - Types and scope of AI - Historical milestones in AI development - Impact of AI on society and sustainability - Definitions and key terminology of AI |
| Using AI in Your Organisation | 20% | - Identifying AI opportunities - AI project management approaches - Risks, costs, benefits and governance of AI solutions - Business case development for AI projects - Stakeholder identification and management |
| Ethical and Legal Considerations | 15% | - Legal and regulatory frameworks - Privacy and data protection in AI - Guiding principles for ethical AI development - Ethical concerns including bias, fairness, transparency |
| Finding and Using Data in AI | 20% | - Data quality characteristics and importance - Generative AI and Large Language Models - Data usage in ML training process - Data risks and mitigation strategies - Data terminology and lifecycle - Big data concepts and visualisation |
| Enablers of AI | 15% | - Supervised and unsupervised learning - Machine Learning fundamentals and approaches - Key AI technologies: NLP, Computer Vision, Robotics - Explainable AI (XAI) concepts |
