Exam Name: IBM Artificial Intelligence Fundamentals Specialty v1
Certification Provider: IBM
Corresponding Certification: IBM Certification
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Updated: Sep 12, 2026
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IBM S2000-027 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Ethics, Governance and Use Cases | 20% | - Real-world AI applications - Ethical principles in AI - Bias and fairness - AI governance and compliance |
| Topic 2: Introduction to AI | 16% | - Data types and structure - Definition and history of Artificial Intelligence - Probabilistic methods in AI - Machine learning fundamentals |
| Topic 3: AI Tools, Platforms and Deployment | 20% | - Cloud integration for AI - IBM AI tools and services - AI development platforms - Model deployment and monitoring |
| Topic 4: Machine Learning Algorithms and Models | 24% | - Model training and evaluation - Unsupervised learning - Supervised learning - Reinforcement learning |
| Topic 5: Natural Language Processing and Computer Vision | 20% | - Text processing and understanding - Computer vision basics - NLP concepts and applications - Image and video analysis |
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