Building Agentic and Autonomous AI Agents: Design Intelligent LLM Agents with Tools, Memory, Reasoning, Planning, and Multi-Agent Workflows (Building ... ... LLMs and RAG to Autonomous Agents Book 2) by Abe Carlson

You will learn how to:

• Understand the architecture and core principles behind agentic AI

• Design LLM-powered agents that can reason and make decisions

• Build agents that use tools, APIs, databases, files, and external services

• Implement short-term, long-term, and persistent agent memory

• Design task decomposition, planning, reflection, and adaptive reasoning loops

• Build sequential, conditional, iterative, event-driven, and human-in-the-loop workflows

• Move from predefined workflows toward controlled autonomous execution

• Design multi-agent systems with specialized roles, delegation, coordination, and supervision

• Connect retrieval-augmented generation to AI agents

• Test agent decisions, tool usage, reliability, and task completion

• Protect agents against prompt injection, unauthorized actions, and unsafe tool use

• Monitor, evaluate, optimize, deploy, and scale production-ready agentic applications

• Understand advanced architectures such as ReAct-style, planning-based, reflection-based, memory-augmented, and multi-agent systems