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BCS AI19 Exam Syllabus Topics:

SectionObjectives
AI Techniques and Applications- Core AI techniques
  • 1. Natural language processing basics
    • 2. Neural networks overview
      - Real-world applications
      • 1. AI in business and industry
        • 2. Automation and decision systems
          Introduction to Artificial Intelligence- Fundamental concepts of AI
          • 1. History and evolution of AI
            • 2. Definition and scope of AI
              Ethics, Governance, and Risk- Responsible AI use
              • 1. Bias and fairness in AI systems
                • 2. Transparency and explainability
                  - Regulation and societal impact
                  • 1. AI governance frameworks
                    • 2. Privacy and data protection
                      Data and Machine Learning Foundations- Data in AI systems
                      • 1. Data preparation and quality
                        • 2. Structured vs unstructured data
                          - Machine learning basics
                          • 1. Supervised and unsupervised learning
                            • 2. Model training and evaluation

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