IBM Artificial Intelligence Fundamentals v1 - Associate : C1000-206

  • Exam Code: C1000-206
  • Exam Name: IBM Artificial Intelligence Fundamentals v1 - Associate
  • Updated: Jul 20, 2026     Q & A: 0 Questions and Answers

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IBM C1000-206 Exam Syllabus Topics:

SectionObjectives
Topic 1: Introduction to Artificial Intelligence- AI concepts and definitions
  • 1. Types of AI systems
    • 2. What is Artificial Intelligence
      - AI applications
      • 1. Industry adoption scenarios
        • 2. Real-world use cases
          Topic 2: Deep Learning and Neural Networks- Neural network fundamentals
          • 1. Activation functions overview
            • 2. Perceptrons and layers
              - Deep learning concepts
              • 1. Common architectures overview
                • 2. Training deep neural networks
                  Topic 3: AI Ethics and Responsible AI- Ethical considerations
                  • 1. Bias in AI systems
                    • 2. Transparency and explainability
                      - Responsible AI practices
                      • 1. Data privacy considerations
                        • 2. Fairness and accountability
                          Topic 4: Machine Learning Fundamentals- Model evaluation basics
                          • 1. Training vs testing
                            • 2. Basic evaluation metrics
                              - Core ML concepts
                              • 1. Supervised learning
                                • 2. Unsupervised learning
                                  Topic 5: Natural Language Processing and Computer Vision- NLP basics
                                  • 1. Language understanding tasks
                                    • 2. Text processing concepts
                                      - Computer vision basics
                                      • 1. Object detection overview
                                        • 2. Image recognition concepts
                                          Topic 6: IBM AI Tools and Ecosystem- IBM Watson overview
                                          • 1. Enterprise AI applications
                                            • 2. AI services and capabilities

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