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IBM S2000-027 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Tools, Platforms and Deployment | 20% | - AI development platforms - Cloud integration for AI - Model deployment and monitoring - IBM AI tools and services |
| Topic 2: Machine Learning Algorithms and Models | 24% | - Supervised learning - Reinforcement learning - Model training and evaluation - Unsupervised learning |
| Topic 3: AI Ethics, Governance and Use Cases | 20% | - Bias and fairness - Ethical principles in AI - Real-world AI applications - AI governance and compliance |
| Topic 4: Natural Language Processing and Computer Vision | 20% | - Image and video analysis - Computer vision basics - Text processing and understanding - NLP concepts and applications |
| Topic 5: Introduction to AI | 16% | - Machine learning fundamentals - Data types and structure - Definition and history of Artificial Intelligence - Probabilistic methods in AI |
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