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    • Fundamentals of AI, Machine Learning, and Autonomous Agents
      • A. Defining Artificial Intelligence: History, Types, and Ethical Debates
      • B. Machine Learning Fundamentals: Data, Features, and Model Training
      • C. The Traditional Machine Learning Toolkit and Learning Paradigms
      • D. Neural Networks: The Engine of Complex Pattern Recognition
      • E. Introducing Transformers: The Architecture Powering Modern AI
      • F. Generative AI and Large Language Models (LLMs)
      • G. Operationalizing Generative AI and Ensuring Reliability
      • H. Understanding AI Agents: Structure, Memory, and Execution
      • I. Agent Planning and Orchestration: Executing Complex Tasks
      • J. The Agentic Enterprise: Collaboration and Long-Term Goals
      • K. Governance, Risk, and the Future of Responsible AI
    • Fundamentals of Blockchain
      • A. Introduction to Blockchain Technology
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      • A. Introduction to Digital Marketing
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      • A. Introduction to Entrepreneurship
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