Build an AI Agent with Python & Groq | Step-by-Step AI Agent Tutorial (Part 2)

Build an AI Agent with Python and Groq in this step-by-step practical tutorial. In Part 2 of this AI Agent series, we move from concepts to practical development and build a working AI Agent from scratch using Python, Groq, tools, and function calling. In this video, you will learn how an AI Agent works internally, how it receives a user request, decides when to use a tool, calls the required function, processes the tool result, and generates the final response. Topics covered in this video: • Setting up the AI Agent project • Connecting Groq with Python • Connecting an LLM with Python • Understanding the AI Agent development workflow • Creating and integrating AI Agent tools • Function calling and tool calling • How an AI Agent decides when to use a tool • Sending user requests to the AI Agent • Processing tool calls and tool results • Connecting multiple tools with an AI Agent • Building an AI Agent step by step • Running and testing the AI Agent • Understanding the complete AI Agent workflow • Practical AI Agent development with Python Technologies used: • Python • Groq • LLM • AI Agents • Function Calling • Tool Calling • Generative AI This is Part 2 of the AI Agents with Python series on Zahid Labs. ▶ Part 1: What is an AI Agent? | AI Agent Explained in Simple Terms In the upcoming lessons, we will go deeper into AI Agent development, including LangChain, LangGraph, Memory, RAG, MCP (Model Context Protocol), Human-in-the-Loop (HITL), Multi-Agent Systems, and real-world AI Agent projects. Subscribe to Zahid Labs for practical tutorials on AI Agents, Python, AI Automation, LangChain, LangGraph, MCP, Generative AI, and AI Agent development. #AIAgent #Python #Groq