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IBM Certification S2000-027

S2000-027

Exam Code: S2000-027

Exam Name: IBM Artificial Intelligence Fundamentals Specialty v1

Updated: Jul 22, 2026

Q&A Number: 0 Q&As

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IBM S2000-027 Exam Syllabus Topics:

SectionObjectives
Topic 1: Deep Learning and Neural Networks- Neural network concepts
  • 1. Training and optimization concepts
    • 2. Perceptron and layers
      Topic 2: Machine Learning Fundamentals- Core ML approaches
      • 1. Unsupervised learning basics
        • 2. Supervised learning basics
          • 3. Reinforcement learning overview
            Topic 3: Ethics and Responsible AI- Responsible AI principles
            • 1. Transparency and explainability
              • 2. Bias and fairness considerations
                Topic 4: 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 5: AI Applications and Use Cases- Industry applications
                    • 1. AI in business and automation
                      • 2. Computer vision applications
                        • 3. Natural language processing applications

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