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Agentic AI Engineering: Step-by-Step Guide to Building, Testing, and Deploying Autonomous AI Agents for Developers and ML Practitioners - Brossura
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Agentic AI Engineering: Step-by-Step Guide to Building, Testing, and Deploying Autonomous AI Agents for Developers and ML Practitioners is your definitive resource to mastering the next frontier in artificial intelligence. Designed specifically for developers, machine learning engineers, and AI practitioners, this comprehensive guide unpacks the complexities of creating fully autonomous AI agents—from initial design to deployment—in clear, practical steps.
Harness cutting-edge techniques and industry best practices as you learn to build reliable, scalable, and intelligent agentic systems that operate independently and efficiently. This book blends deep technical insight with actionable strategies, empowering you to innovate confidently in AI development, automation, and autonomous system design. Whether you’re enhancing AI workflows or pioneering autonomous solutions, Agentic AI Engineering equips you with the tools to stay ahead in this rapidly evolving technology landscape.
Written by Danny K. Eland, a respected expert in AI engineering with years of practical experience and thought leadership, this book reflects the latest advancements in AI models, architectures, and deployment strategies for 2025 and beyond. Readers will gain a strong foundation in agent design, security, ethics, and maintenance—critical elements for successful autonomous AI systems.
Ideal for developers, data scientists, and AI professionals seeking to deepen their expertise in autonomous agents, this guide is both a practical manual and a visionary outlook on the future of AI technology. Elevate your skills, streamline your AI projects, and unlock new opportunities with Agentic AI Engineering—your trusted partner in navigating the future of intelligent autonomous systems.
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Agentic AI Engineering: Step-by-Step Guide to Building, Testing, and Deploying Autonomous AI Agents for Developers and ML Practitioners
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Agentic AI Engineering (Paperback)
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Paperback. Condizione: new. Paperback. Agentic AI Engineering: Step-by-Step Guide to Building, Testing, and Deploying Autonomous AI Agents for Developers and ML Practitioners is your definitive resource to mastering the next frontier in artificial intelligence. Designed specifically for developers, machine learning engineers, and AI practitioners, this comprehensive guide unpacks the complexities of creating fully autonomous AI agents-from initial design to deployment-in clear, practical steps.Harness cutting-edge techniques and industry best practices as you learn to build reliable, scalable, and intelligent agentic systems that operate independently and efficiently. This book blends deep technical insight with actionable strategies, empowering you to innovate confidently in AI development, automation, and autonomous system design. Whether you're enhancing AI workflows or pioneering autonomous solutions, Agentic AI Engineering equips you with the tools to stay ahead in this rapidly evolving technology landscape.Written by Danny K. Eland, a respected expert in AI engineering with years of practical experience and thought leadership, this book reflects the latest advancements in AI models, architectures, and deployment strategies for 2025 and beyond. Readers will gain a strong foundation in agent design, security, ethics, and maintenance-critical elements for successful autonomous AI systems.Ideal for developers, data scientists, and AI professionals seeking to deepen their expertise in autonomous agents, this guide is both a practical manual and a visionary outlook on the future of AI technology. Elevate your skills, streamline your AI projects, and unlock new opportunities with Agentic AI Engineering-your trusted partner in navigating the future of intelligent autonomous systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798275451757
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Agentic AI Engineering: Step-by-Step Guide to Building, Testing, and Deploying Autonomous AI Agents for Developers and ML Practitioners
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