Build an AI Agent (From Scratch)

Jungjun Hur is an AI and data engineer, known for building production-ready AI applications. With experience in e-commerce and AI industries, he brings a practical and hands-on style to his writing. He explains how to build powerful LLM-powered features in a simple and step-by-step way. Younghee Song is an AI consultant at PwC with a background in economics and human factors engineering. She is known for her ability to connect AI technology to real-world business problems. She helps developers understand how to build intelligent systems that solve practical challenges.

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• PART 1: BUILDING YOUR FIRST LLM AGENT 1 WHAT IS AN AI AGENT? 2 THE BRAIN OF AI AGENTS: LLMS 3 ENABLING ACTIONS: TOOL USE 4 IMPLEMENTING A BASIC REACT AGENT PART 2: DEVELOPING ADVANCED AGENT CAPABILITIES 5 BUILDING KNOWLEDGE BASES WITH RAG 6 ADDING MEMORY TO YOUR AGENT 7 PLANNING AND REFLECTION FOR COMPLEX TASKS 8 EMPOWERING AGENTS WITH CODE EXECUTION 9 ORCHESTRATING MULTI-AGENT SYSTEMS PART 3: DEPLOYING AGENTS IN PRODUCTION 10 EVALUATING AGENTS