Hands On Agentic Engineering. Design and Deploy Autonomous AI Agents, Multi-Agent Systems, and LLM-Powered Applications (en Inglés) - Connor Hayes

Unlock the Next Frontier of AI: Build Intelligent Agents That Don't Just Talk-They Act

Generative AI gave us chatbots that can converse. But the real revolution is Agentic AI-systems that reason, use tools, remember, and act autonomously to achieve goals. Whether it's a customer service agent that processes refunds, a research assistant that searches the web, or a personal aide that remembers your preferences, agentic AI is transforming what's possible.

Building Agentic AI is your hands-on guide to moving beyond simple prompts and creating intelligent agents that interact with the real world. Using Python and practical code examples, you'll learn the core concepts and build increasingly sophisticated agents from scratch.

What You'll Build

Agent Zero: A task assistant that decides when to use a calculator or weather API.

Tool‑Enhanced Agent: An agent with web search and data retrieval capabilities.

Memory‑Enabled Agent: A conversational agent with persistent long‑term memory using vector databases.

What You'll Learn

The Think‑Act‑Observe loop that powers every autonomous agent.

How to equip agents with tools like calculators, web search, and APIs.

The role of planning, reasoning, and memory in agentic systems.

Implementing short‑term and long‑term memory with ChromaDB.

Error handling, prompt engineering, and best practices for robust agents.

Real‑world case studies dissecting modern frameworks like LangGraph and CrewAI.

Who This Book Is For

Python developers ready to go beyond prompt engineering.

AI enthusiasts and technical product managers wanting to understand agentic systems.

Anyone eager to build AI that can truly act and remember.

Packed with theory, practical code, and battle‑tested techniques, Building Agentic AI gives you the foundation to design, build, and deploy your own intelligent agents.

Start building the future-one agent at a time.