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Complete Agentic AI Mastery: Designing Autonomous Systems with Intelligence, Memory, and Purpose

by Rod J. Feldman
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₹2,716.00
Original price ₹2,716.00
Original price ₹2,716.00
₹2,716.00
Current price ₹2,716.00

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Book cover type: Paperback
  • ISBN13: 9798250381222
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 220
  • Original Price: USD 25.99
  • Language: English
  • Edition: N/A
  • Item Weight: 522 grams
  • BISAC Subject(s): Robotics

What if your AI systems could think beyond prompts?
What if they could plan, remember, adapt, and act with purpose?

Are you still building tools that simply respond... or are you ready to design systems that reason?

Complete Agentic AI Mastery is your practical guide to building intelligent, autonomous systems that move beyond basic automation and into true decision-driven architecture. This book was written for builders, thinkers, engineers, founders, and curious innovators who want to understand not just how modern AI works -- but how to architect systems that *act*.

You may be asking:

  • How do autonomous AI systems make decisions?
  • How can memory be structured so AI learns over time?
  • What makes an AI system reliable instead of reactive?
  • How do you design intelligence with purpose instead of randomness?
  • What separates experimentation from real-world deployment?

This book answers those questions clearly and thoroughly.

Inside, you'll explore how to design AI systems that combine reasoning, structured memory, contextual awareness, goal-oriented planning, and adaptive feedback loops. Rather than focusing only on surface-level trends, Rod J. Feldman breaks down the architecture behind intelligent autonomy -- in language that is accessible yet technically grounded.

You'll discover:

  • The foundations of agent-based system design
  • How memory layers improve long-term performance
  • Practical approaches to decision modeling and planning
  • Frameworks for orchestrating multi-step reasoning
  • How to align AI behavior with defined objectives
  • Methods for evaluating reliability and reducing failure points
  • Ethical considerations in autonomous system deployment
  • Real-world architectural insights you can apply immediately

This is not a hype-driven overview. It's a structured roadmap.

The writing style is clear, conversational, and grounded in real implementation thinking. Complex ideas are explained without unnecessary jargon, while still offering enough depth to challenge experienced readers.

Whether you are:

  • A developer building next-generation applications
  • A technology leader exploring intelligent automation
  • A researcher studying AI system design
  • Or an entrepreneur seeking scalable autonomy

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