Agentic AI Systems: Design & Engineering (Volume I)

Build intelligent AI systems that think, act, and collaborate.

De: Abhishek Singh

Narrado por: Virtual Voice

Most AI books teach you prompts. This book teaches you systems.

If you’ve ever felt that building AI applications is more than just calling an API… you’re right.

This book takes you beyond chatbots and into the world of Agentic AI — where intelligent agents plan, reason, use tools, remember context, and collaborate to solve real problems.

What Makes This Book Different?

Unlike typical AI books that focus on isolated concepts, this guide shows you how to engineer complete AI systems.

You won’t just learn what agents are — you’ll build them.

✔ Design intelligent agents with goals and roles
✔ Integrate tools for real-world interaction
✔ Implement memory for context-aware systems
✔ Build Retrieval-Augmented Generation (RAG) pipelines
✔ Create multi-agent workflows that collaborate
✔ Understand system architecture, not just code snippets

Learn by Building Real Systems

Every chapter combines:

• Clear conceptual explanations
• Real, executable Python code
• System-level architecture diagrams
• Practical implementation patterns

By the end, you won’t just understand Agentic AI — you’ll be able to design and build it from scratch.

Who This Book Is For

This book is perfect for:

1. Developers ready to go beyond basic LLM apps
2. AI/ML students who want real-world system skills
3. Researchers exploring next-generation AI systems
4. Engineers building intelligent automation solutions

Stop building simple AI apps. Start engineering intelligent systems.

Book is good, but necessary combine with the Kind

There is no repository of code to actually try out book examples.
Without the accompanying code it is not feasible to follow through with the development process described in book.
Solution is to purchase the Kindle version (+$3) which allows synchronized listening with reading/copying of code from Kindle version. The pairing works brilliantly.