Agentic AI: From Chatbots to Agents That Get Work Done

About this course

This course contains the use of artificial intelligence. Everyone is selling "agents" right now. Some of those products really do plan, call tools and finish multi-step work. Many are chatbots or fixed workflows with a new label. This course gives you a clear, vendor-neutral way to tell the difference, and then takes you from understanding agents to building, testing and costing one. It is a broad introduction for professionals and new builders. You do not need a machine-learning background. If you use ChatGPT, Claude, Gemini or Copilot regularly and want to know what changes when the model starts taking actions, this is the right starting point. One company, one pilot, start to finish We follow Harborline Logistics, a fictional freight forwarder with a backlog of shipment-status emails and late customs paperwork. Its operations team runs a 90-day agent pilot called Relay. Every concept in the course is applied to that pilot, so you see the same agent grow from a first loop to a tested, supervised and costed system. What the course covers Section 1, What Agentic AI Really Is: chatbot, copilot, workflow and agent; the agent loop; five levels of autonomy; how to spot agent washing

Section 2, How Agents Think: model, tools and instructions; ReAct, planning and reflection; five workflow patterns and when not to use an agent

Section 3, Tools, MCP and Computer Use: tool calling, the Model Context Protocol, browser and computer use, and agent modes in ChatGPT, Claude and Gemini

Section 4, Memory, Knowledge and Context: context engineering, retrieval (RAG), skills, and grounding an agent in company procedures

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