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IBM S2000-027 Exam Syllabus Topics:

SectionObjectives
Topic 1: Ethics and Responsible AI- Responsible AI principles
  • 1. Transparency and explainability
    • 2. Bias and fairness considerations
      Topic 2: Introduction to Artificial Intelligence- Fundamental AI concepts and terminology
      • 1. Definition of AI, ML, and DL
        • 2. Types of AI systems (narrow vs general AI)
          Topic 3: AI Applications and Use Cases- Industry applications
          • 1. Natural language processing applications
            • 2. Computer vision applications
              • 3. AI in business and automation
                Topic 4: Deep Learning and Neural Networks- Neural network concepts
                • 1. Training and optimization concepts
                  • 2. Perceptron and layers
                    Topic 5: Machine Learning Fundamentals- Core ML approaches
                    • 1. Supervised learning basics
                      • 2. Unsupervised learning basics
                        • 3. Reinforcement learning overview

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