Emergence of Agentic AI
Emergence of Agentic AI
Architecting the Next Generation of Intelligent Systems
About the Book
Emergence of Agentic AI: Architecting the Next Generation of Intelligent Systems is a comprehensive guide to designing, building, and operating intelligent agents that think, act, and adapt within complex systems. It begins by grounding readers in the fundamental principles of Agentic AI—what makes an AI agent truly autonomous and effective—then progresses through historical evolution, key architectural decisions, system-level design, workflow orchestration, and operational practices under the emerging field of AgentOps. Each chapter blends conceptual clarity with practical guidance, equipping you to tackle real-world challenges like drift, trust, multi-agent communication, and ethical compliance. Whether you're developing single-task agents or orchestrating distributed agent ecosystems, this book empowers you with the mindset, frameworks, and tools to engineer next-generation AI systems that are not only capable—but reliable, explainable, and human-centered.
Table of Contents
- Preface
- Who This Book Is For
- What This Book Covers
- How to Get in Touch
- Chapter 1:An Introduction to Agentic AI Systems
- 1.1:Understanding the fundamentals of Agentic AI
- 1.2:Exploring different types of Agent
- 1.3:Discovering Key Characteristics for AI Agent
- 1.4:Discovering Key Challenges of AI Agent
- 1.5:Summary
- 1.6:Further Reading
- Chapter 2:Evolution of Agentic AI Agents
- 2.1:Exploring the historical context and early AI applications
- 2.2:Exploring the progression of AI Agents from Rule-Based
- 2.3:Exploring the Evolution of Agentic AI Workflows
- 2.4:Exploring the evolution of Agentic intelligence for AI Agent
- 2.5:Understanding the comparative analysis of the Intelligent Agents deign framework
- 2.6:Discovering the Critical challenges and design considerations for Agentic AI systems
- 2.7:Summary
- 2.8:Further Reading
- Chapter 3:Exploring Best Practices for an Agentic AI Journey
- 3.1:Understanding the key characteristics of Agentic AI Systems
- 3.2:Discovering the Challenegs in Agentic AI and their impact on AI Agent
- 3.3:Exploring the Best Practices for Agentic AI Implementation
- 3.4:Exploring the Agentic AI Journey- A Design Thinking Approach
- 3.5:Summary
- 3.6:Further Reading
- Chapter 4:Agentic AI Architecture Pattern
- 4.1:Discovering the System Context of Agentic AI
- 4.2:Understanding the requirements of an Agentic AI System
- 4.3:Exploring the Key Design Principle for Agentic AI Systems
- 4.4:Exploring the Key Architecture Decisions for Agentic AI Systems
- 4.5:Designing the High-Level Design for an Agentic AI System
- 4.6:Summary
- 4.7:Further Reading
- Chapter 5:Agent Workflow and Multi-Agent Communication
- 5.1:Exploring Agentic Workflow Fundamentals
- 5.2:Designing Agent Workflow
- 5.3:Exploring Different Workflow Execution Patterns
- 5.4:Discovering the key elements for the Agentic Workflow
- 5.5:Understanding Multi-Agent Communication
- 5.6:Summary
- 5.7:Further Reading
- Chapter 6:Agent Operations (AgentOps) and Governance
- 6.1:Discovering the Evolution - DevOps to AgentOps
- 6.2:Exploring the key Component of AgentOps
- 6.3:Understanding the Lifecycle of AgentOps
- 6.4:Extending the Twleve-Factor method for AgentOps
- 6.5:Understanding operational pillars of AgentOps
- 6.6:Summary
- 6.7:Further Reading
- Chapter 7:Ethical Considerations and Compliance
- 7.1:Understanding Trustworthy AI
- 7.2:Understanding Fairness for AI Application
- 7.3:Understanding Explainability for AI Application
- 7.4:Understanding Robustness for AI Applications
- 7.5:Understanding Accountability for AI Application
- 7.6:Understanding Transparency for AI Application
- 7.7:Understanding Inclusive Design for AI Application
- 7.8:Summary
- Chapter 8:ACM AgentNet — Designing a Distributed Agentic AI Ecosystem Across the Enterprise
- 8.1:Discovering the ACME AgentNet Uue case
- 8.2:Establishing the Maturity roadmap – from zero to autonomous collaboration
- 8.3:Key challenges and common myths
- 8.4:Agentic AI and AgentOps Journey Checklist
- 8.5:Summary
- 8.6:Further Reading
- Preface
The Leanpub 60 Day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
Now, this is technically risky for us, since you'll have the book or course files either way. But we're so confident in our products and services, and in our authors and readers, that we're happy to offer a full money back guarantee for everything we sell.
You can only find out how good something is by trying it, and because of our 100% money back guarantee there's literally no risk to do so!
So, there's no reason not to click the Add to Cart button, is there?
See full terms...
Earn $8 on a $10 Purchase, and $16 on a $20 Purchase
We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
In fact, authors have earnedover $14 millionwriting, publishing and selling on Leanpub.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them