AI agents are becoming popular very fast. You may have seen tutorials like: Build an AI agent with Python Create an agent using LangChain Build a CrewAI workflow Make an AutoGen multi-agent system These are interesting, but for beginners, there is one common problem: Many students start with frameworks before understanding the actual workflow. An AI agent is not just a prompt. It is usually a software system where an LLM can reason, call tools, work with data, and return a result. So before asking: Which AI agent framework should I learn? A better beginner question is: What should I learn before building AI agents? 1. Python Functions Tool calling in AI agents usually connects the LLM with functions. So students should be comfortable writing functions like: def get_course_info ( course_name ): return course_data . get ( course_name ) Enter fullscreen mode Exit fullscreen mode The function may look simple, but this is the foundation of tool-based workflows.…