Beyond chatbots — AI systems that can actually take action.
5 min read · Skill IT Education
A chatbot responds to messages in a conversational loop. An agent can plan multi-step tasks, decide which tools to use, and act — with meaningfully more autonomy.
Given a goal, an agent breaks it into steps, calls tools or APIs as needed, evaluates results, and adjusts — a loop of reasoning and action rather than a single response.
Well-scoped, tool-assisted tasks — research, data lookup, structured automation — see the most reliable results. Fully autonomous, open-ended agents remain an active area of development, not a solved problem.
This article is the short version. The full program covers it hands-on, in labs, with a mentor reviewing your work.
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