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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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    • D. Cryptocurrencies and Tokens
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    • A. Introduction to Digital Marketing
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