Agentic AI: Theory, Models, and Engineering Applications - From Conceptual Frameworks to Real-World Deployments
Artificial Intelligence is evolving beyond passive systems into agentic architectures-autonomous, goal-driven entities capable of reasoning, adapting, and acting in complex environments. Agentic AI is your definitive guide to this transformation, bridging the gap between theory and practice.
This groundbreaking volume offers:
Conceptual Foundations: Clear explanations of agentic AI principles, from decision-making models to cognitive frameworks.
Engineering Applications: Practical insights into deploying agentic systems across industries such as healthcare, finance, manufacturing, and education.
Case Studies & Real-World Scenarios: How agentic AI is reshaping workflows, optimizing resources, and enabling human-machine collaboration.
Future Directions: Ethical considerations, governance challenges, and the path toward trustworthy, scalable agentic systems.
Written for researchers, engineers, and forward-thinking professionals, this book combines academic rigor with accessible storytelling. Whether you're designing intelligent agents, exploring AI ethics, or seeking to understand the next frontier of machine autonomy, Agentic AI equips you with the frameworks and tools to navigate this rapidly expanding field.
Unlock the power of agentic intelligence-and discover how theory becomes deployment, and vision becomes reality.
