The Ultimate AI Agent Learning Roadmap: A Complete Resource Guide
This article compiles top community shares, official blogs, research papers, open‑source projects and real‑world engineering experience into a step‑by‑step AI Agent learning todo list, organized into phases, practical usage tips, and core learning principles for beginners to advanced practitioners.
Core Roadmap
A step‑by‑step todo list covering the evolution from a minimal Agent Loop to modern Agent Harnesses (Claude Code, OpenClaw, Hermes) and then to Skills, MCP, A2A, evaluation, tracing, and security.
Part 1 – Intro: Master Agent Basics
Stage 0 – Understand what an Agent is
Stage 1 – Build a Minimal Agent Loop
Stage 2 – Tool Calling, Retrieval‑Augmented Generation (RAG) and Memory
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DeepNoMind
I’m Yu Fan, a tech leader with deep technical expertise and managerial vision. Formerly at Motorola, now at Mavenir, I’ve led teams for years, focusing on backend architecture and cloud-native solutions, staying abreast of AI and other frontier fields, and championing personal growth and lifelong learning.
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