Agentic AI for AI Engineers: Building Autonomous AI Agents, Intelligent Workflows, and Real-World AI Automation Systems

Build the future of AI systems with practical, production-focused engineering skills.
AI is moving beyond chatbots and simple automation. Modern systems can reason, retrieve knowledge, use tools, coordinate workflows, and operate with increasing autonomy. These systems—known as Agentic AI—are transforming how developers build software and how organizations scale intelligent operations.
Agentic AI for AI Engineers: Building Autonomous AI Agents, Intelligent Workflows, and Real-World AI Automation Systems is a hands-on guide designed for developers, AI engineers, software architects, and technology professionals who want to move beyond theory and learn how autonomous AI systems are designed in real-world environments.
Rather than focusing on hype or abstract concepts, this book explores the practical engineering side of agentic systems—from architecture and memory design to retrieval pipelines, workflow orchestration, infrastructure, and production deployment.
Inside this book, you will learn how to:
1. Understand the foundations of Agentic AI and autonomous systems
2. Design AI agents capable of planning, reasoning, and decision-making
3. Build intelligent workflows and multi-agent architectures
4. Implement memory systems, embeddings, vector databases, and RAG pipelines
5. Connect AI systems to APIs, tools, and external services
6. Develop AI copilots, assistants, and workflow automation platforms
7. Create scalable and production-ready AI infrastructure
8. Monitor, evaluate, and optimize autonomous systems
9. Explore enterprise AI automation and real-world deployment strategies
10. Understand emerging trends, ethical considerations, and future opportunities in AI engineering
This book also includes:
• Practical code examples and implementation patterns
• Architecture insights for scalable systems
• Real-world engineering scenarios and workflow designs
• AI engineering terminology and reference appendices
• Prompt engineering guidance and recommended frameworks
Whether you are building AI assistants, autonomous agents, enterprise workflows, retrieval systems, or next-generation AI platforms, this book provides the technical foundation and practical knowledge needed to design systems that are reliable, scalable, and useful beyond the prototype stage.
The next generation of AI is not just about smarter models. It is about building intelligent systems that can think, act, collaborate, and operate in the real world.
Start building the future of Agentic AI today.