Introduction to AI Agents
DataCamp
Last updated June 30, 2026
A beginner-friendly, no-coding introduction to AI agents — systems that can plan and act, not just answer. It explains what makes an agent different from an ordinary chatbot or a fixed automation, and breaks down the parts that make it work: memory, the ability to use tools, and orchestration. Using relatable examples, from customer-support agents to coding assistants, it shows how agents reason through a problem — the cycle of thinking, acting, and observing the result — and when an agent-based approach is actually the right tool. It closes on using and commissioning agents responsibly. You finish able to tell genuine agentic behaviour from the label, without writing any code.
What you'll learn
- What separates an AI agent from a chatbot or fixed automation
- The building blocks of an agent: memory, tool use, and orchestration
- How agents reason through a task (think, act, observe)
- When an agent-based approach is the right choice
- Using and commissioning AI agents responsibly
Frequently asked questions about Introduction to AI Agents
Is Introduction to AI Agents free?
No — Introduction to AI Agents is a paid course.
What are the prerequisites for Introduction to AI Agents?
Familiarity with using AI at work is helpful but not required.
Does Introduction to AI Agents offer a certificate?
Yes. DataCamp Statement of Accomplishment on completion (requires DataCamp Premium).
Why we suggest this course
A clear, jargon-light explanation of AI agents for non-technical readers, at a moment when "agent" is attached to almost anything. It draws the line between a real agent and a dressed-up chatbot, explains how agents reason in plain terms, and stays firmly non-coding throughout. You can sample the opening chapter before subscribing; the full course and its Statement of Accomplishment are part of DataCamp Premium.