Agentic AI for Beginners: A Practical Guide to Understanding and Leveraging Autonomous Systems
is your essential roadmap into the transformative world of autonomous intelligence. This comprehensive guide demystifies the complex realm of agentic AI and offers clear, step-by-step instructions for implementing and harnessing its power—whether you're a tech professional, business leader, or curious newcomer.
In this book, you'll discover the foundational concepts that underpin agentic AI, from basic definitions and sensor-to-action workflows to advanced neural network architectures and reinforcement learning techniques. Learn how to collect and preprocess high-quality data, train robust models, and optimize performance using cutting-edge tools like TensorFlow and PyTorch. Practical case studies, hands-on projects, and interactive exercises ensure that theoretical insights are seamlessly translated into real-world applications, empowering you to integrate AI into everything from manufacturing and marketing to customer service and operational efficiency.
Beyond technical know-how, this book addresses the ethical, regulatory, and societal dimensions of AI. Explore strategies for mitigating bias, ensuring transparency, and aligning autonomous systems with human values, all while navigating the evolving landscape of privacy and governance. With detailed guidance on blending human judgment with machine intelligence, you'll learn how to build hybrid decision-making frameworks that enhance both innovation and accountability.
Whether you're seeking to revolutionize your business strategy, improve workplace productivity, or simply stay ahead in a rapidly changing digital era, Agentic AI for Beginners offers the tools, techniques, and insights you need to lead the future of autonomous technology. Embrace the future of intelligent systems and unlock the potential of agentic AI to drive sustainable success in your professional and personal endeavors.
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Paperback. Zustand: new. Paperback. Agentic AI for Beginners: A Practical Guide to Understanding and Leveraging Autonomous Systemsis your essential roadmap into the transformative world of autonomous intelligence. This comprehensive guide demystifies the complex realm of agentic AI and offers clear, step-by-step instructions for implementing and harnessing its power-whether you're a tech professional, business leader, or curious newcomer.In this book, you'll discover the foundational concepts that underpin agentic AI, from basic definitions and sensor-to-action workflows to advanced neural network architectures and reinforcement learning techniques. Learn how to collect and preprocess high-quality data, train robust models, and optimize performance using cutting-edge tools like TensorFlow and PyTorch. Practical case studies, hands-on projects, and interactive exercises ensure that theoretical insights are seamlessly translated into real-world applications, empowering you to integrate AI into everything from manufacturing and marketing to customer service and operational efficiency.Beyond technical know-how, this book addresses the ethical, regulatory, and societal dimensions of AI. Explore strategies for mitigating bias, ensuring transparency, and aligning autonomous systems with human values, all while navigating the evolving landscape of privacy and governance. With detailed guidance on blending human judgment with machine intelligence, you'll learn how to build hybrid decision-making frameworks that enhance both innovation and accountability.Whether you're seeking to revolutionize your business strategy, improve workplace productivity, or simply stay ahead in a rapidly changing digital era, Agentic AI for Beginners offers the tools, techniques, and insights you need to lead the future of autonomous technology. Embrace the future of intelligent systems and unlock the potential of agentic AI to drive sustainable success in your professional and personal endeavors. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798314227565
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