Apr 27
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Stop building basic chatbots. Build an AI agent that actually thinks, remembers, and acts. In this tutorial, you’ll build a stateful AI agent in Python using LangChain, Groq, and LLaMA 3.1—designed with real engineering principles, not copy-paste code. You’ll learn the actual architecture used by AI engineers to build agentic systems. WHAT YOU’LL BUILD: A production-style AI Agent with: Memory (chat history + state) Reasoning loop (Input → Think → Respond) Fast inference using Groq Clean, modular Python structure 🧠 WHAT YOU’LL LEARN What an AI Agent really is (not just a chatbot) The Agent Loop used in real-world systems How to manage memory and conversation state How LangChain structures reasoning workflows How to design scalable AI systems ⚙️ TECH STACK Python LangChain Groq API LLaMA 3.1 🚀 FREE CODE AND RESOURCES GitHub Repository: https://github.com/uka-ben LinkedIn (Let's connect!): https://www.linkedin.com/in/benjamin-uka-imo Business Inquiries: benjaminukaimo@gmail.com 🕒 COURSE STRUCTURE 0:00 - Introduction and Why AI Agents matter 0:47 - What is an AI Agent? (The Thinking System) 1:17 - Environment Setup: VS Code and Folders 1:43 - Installing Packages: LangChain and Groq 3:00 - Importing Python Libraries 4:05 - Setting up Groq API Keys 5:06 - Creating the Agent: Model Selection (Llama 3.1) 6:43 - Defining the System Prompt and Identity 8:27 - Setting up Agent Memory (Chat History) 9:20 - Handling User Input (The Input Function) 10:19 - Sending User Prompts to the Assistant 12:52 - Updating History with User Prompts 13:57 - Invoking the Model (LangChain Invoke) 15:30 - Parsing the Agent's Reply 17:51 - Displaying the Final Response 18:59 - Updating History with Assistant's Reply 21:20 - Full Agent Demo: Testing Personality and Memory 23:11 - Final Wrap-up and Summary 💬 JOIN THE COMMUNITY: Which part of the Agent Loop do you find most challenging to build? 1. Memory/History 2. Prompt Engineering 3. Action Execution (Tools). Drop a 1, 2, or 3 in the comments! #learn #ai #python #machinelearning #tutorial #2026