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ARTIFICIAL INTELLIGENCE & AUTOMATION A Comprehensive Guide to the Intelligent Revolution Foundations - Technologies - Applications - Ethics - Future Table of ContentsPreface PART I: FOUNDATIONS OF ARTIFICIAL INTELLIGENCE Chapter 1: A History of Thinking Machines Chapter 2: Core Concepts of AI Chapter 3: Machine Learning Fundamentals Chapter 4: Deep Learning and Neural Networks PART II: THE AUTOMATION LANDSCAPE Chapter 5: Robotic Process Automation Chapter 6: Intelligent Process Automation Chapter 7: Industrial and Manufacturing Automation Chapter 8: Autonomous Systems and Robotics PART III: LARGE LANGUAGE MODELS & GENERATIVE AI Chapter 9: The Rise of Large Language Models Chapter 10: Generative AI - Images, Video, Audio Chapter 11: Prompt Engineering and AI Interfaces Chapter 12: Retrieval-Augmented Generation PART IV: INDUSTRY APPLICATIONS Chapter 13: AI in Healthcare Chapter 14: AI in Finance and FinTech Chapter 15: AI in Education Chapter 16: AI in Supply Chain and Logistics Chapter 17: AI in Creative Industries PART V: ETHICS, GOVERNANCE, AND SOCIETY Chapter 18: Bias, Fairness, and Explainability Chapter 19: Privacy, Security, and Data Rights Chapter 20: Regulation and Global Policy Chapter 21: The Future of Work PART VI: THE HORIZON Chapter 22: Artificial General Intelligence Chapter 23: AI Safety and Alignment Chapter 24: The Next Decade Glossary Further Reading

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