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IBM C1000-206 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Tools, Platforms and IBM Solutions | 20% | - Development tools and frameworks - Cloud AI platforms - IBM Watson services overview |
| Ethics, Governance and Future of AI | 15% | - Emerging trends and future directions - Ethical principles and bias mitigation - Regulatory compliance and trust |
| Machine Learning Basics | 25% | - Data preparation and preprocessing - Model training and evaluation - Supervised, unsupervised, reinforcement learning |
| Deep Learning and Neural Networks | 20% | - Applications in computer vision and NLP - Deep learning architectures - Neural network fundamentals |
| Introduction to Artificial Intelligence | 20% | - Definition and history of AI - Types of AI: Narrow vs General - AI applications and use cases |
