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IBM S2000-027 Exam Overview:
| Certification Vendor: | IBM |
| Exam Name: | IBM Artificial Intelligence Fundamentals Specialty v1 |
| Exam Number: | S2000-027 |
| Exam Format: | Multiple choice, Multiple select |
| Exam Duration: | 60 minutes |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 44 |
| Exam Price: | $100 USD |
| Passing Score: | 70% |
| Related Certifications: | IBM Data and AI Specialty Certifications |
| Available Languages: | English |
| Recommended Training: | IBM AI Fundamentals Learning Path |
| Exam Registration: | Pearson VUE Registration |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; basic understanding of IT and data concepts recommended |
| Official Syllabus URL: | https://www.ibm.com/certify/exam/S2000-027 |
IBM S2000-027 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing and Computer Vision | 20% | - Text processing and understanding - Image and video analysis - Computer vision basics - NLP concepts and applications |
| Introduction to AI | 16% | - Definition and history of Artificial Intelligence - Data types and structure - Probabilistic methods in AI - Machine learning fundamentals |
| AI Tools, Platforms and Deployment | 20% | - IBM AI tools and services - Cloud integration for AI - AI development platforms - Model deployment and monitoring |
| Machine Learning Algorithms and Models | 24% | - Supervised learning - Model training and evaluation - Unsupervised learning - Reinforcement learning |
| AI Ethics, Governance and Use Cases | 20% | - Ethical principles in AI - AI governance and compliance - Bias and fairness - Real-world AI applications |
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