Course Overview
Ready to move from talking about AI to building your first AI Agent? This hands-on course is where ideas turn into working intelligent systems. You’ll start by exploring what an AI agent is — how it differs from a chatbot or traditional automation system — and then dive into the tools and frameworks that make agentic systems possible. Using frameworks such as LangGraph, LangChain, n8n, and other emerging tools, you’ll learn how to design, orchestrate, and evaluate adaptive agents that can use external data, retain context, and include human oversight for responsible decision-making. Through a series of guided labs, you’ll build your first functional AI agent — starting simple and adding power layer by layer. First, you’ll create a basic conversational agent, then extend it with tools, memory, and human-in-the-loop (HITL) oversight for reliability and control. Finally, you’ll perform agentic evaluations, measuring how well your agent reasons, performs, and self-corrects. All labs are completed using instructor-guided Google Colab notebooks with companion templates on GitHub. No heavy coding experience is required — most exercises are copy-and-run, with optional deeper challenges for advanced learners. A basic familiarity with Python or any programming language is helpful. Please note that this course is offered by NAIT in partnership with a third party. Accordingly, this outline originates from a third party.