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Updated: Aug 30, 2026
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| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Artificial Intelligence Fundamentals v1 - Associate |
| Exam Number: | C1000-206 |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | Japanese, English |
| Exam Price: | $200 USD |
| Passing Score: | 65% |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60 |
| Recommended Training: | IBM Artificial Intelligence Fundamentals Course |
| Exam Registration: | IBM Certification Registration Pearson VUE |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No formal prerequisites; basic understanding of IT concepts recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification/C1000-206 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Machine Learning Basics | 25% | - Data preparation and preprocessing - Model training and evaluation - Supervised, unsupervised, reinforcement learning |
| Topic 2: Ethics, Governance and Future of AI | 15% | - Ethical principles and bias mitigation - Emerging trends and future directions - Regulatory compliance and trust |
| Topic 3: AI Tools, Platforms and IBM Solutions | 20% | - IBM Watson services overview - Cloud AI platforms - Development tools and frameworks |
| Topic 4: Deep Learning and Neural Networks | 20% | - Applications in computer vision and NLP - Neural network fundamentals - Deep learning architectures |
| Topic 5: Introduction to Artificial Intelligence | 20% | - Types of AI: Narrow vs General - Definition and history of AI - AI applications and use cases |
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