*Step-by-Step Approach to Learn AI Agents* ➊ Understand What AI Agents Are → Autonomous systems that can perceive, reason, and act ↓ ➋ Master the Basics → Python, Data Structures, APIs, and JSON handling ↓ ➌ Explore LLMs as Agents → Understand how GPT, Claude, or Gemini can act as reasoning agents ↓ ➍ Tool Use & Function Calling → Learn how agents use tools, call APIs, and perform tasks dynamically ↓ ➎ Agent Frameworks → LangChain: For chaining LLM calls and memory AutoGen / Autogen Studio: For multi-agent collaboration Haystack: For document question answering ↓ ➏ Memory & Persistence → Vector databases (e.g., FAISS, Chroma, Pinecone) for long-term memory ↓ ➐ Planning & Reasoning → ReAct, CoT (Chain-of-Thought), and Tree of Thought prompting ↓ ➑ Build & Deploy AI Agents → Personal assistants Customer support bots Research agents Coding copilots React with ♥️ if you also want free resources on this topic