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IBM S2000-027 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Ethics, Governance and Use Cases | 20% | - Bias and fairness - Real-world AI applications - Ethical principles in AI - AI governance and compliance |
| Introduction to AI | 16% | - Probabilistic methods in AI - Machine learning fundamentals - Data types and structure - Definition and history of Artificial Intelligence |
| Natural Language Processing and Computer Vision | 20% | - NLP concepts and applications - Text processing and understanding - Image and video analysis - Computer vision basics |
| AI Tools, Platforms and Deployment | 20% | - Cloud integration for AI - Model deployment and monitoring - IBM AI tools and services - AI development platforms |
| Machine Learning Algorithms and Models | 24% | - Supervised learning - Reinforcement learning - Model training and evaluation - Unsupervised learning |
