AI Agents for Teams – Build Shared, Reliable No-Code Workflows

Build a common way for a team to use AI instead of relying on personal prompts that nobody else can maintain. This is a short, interactive online course built from focused micro-lessons. You work at your own pace and leave with an agent map, a reusable instruction, five tests and a pilot plan. No programming is required.

A prompt may work for one colleague but fail when the task, data or expectations change. Teams need shared definitions, approved sources, roles and repeatable tests. The course explains the difference between a one-off prompt, a reusable AI assistant, an agentic workflow and full automation. That distinction matters: a saved ChatGPT Project or Claude Project can deliver substantial value without being an autonomous agent. You learn to choose the simplest level that solves the problem.

You will learn how to identify a recurring, structured and reviewable task; define the goal and output; select approved source material; separate AI steps from human decisions; and write a stop rule. You then translate the map into a no-code prototype using project instructions and approved files in ChatGPT or Claude. Because interfaces and subscriptions change, the course avoids hard-coded prices and file limits and points to official product information.

What you will be able to do

• ✓Create a shared language about agents
• ✓Choose a task that works across roles
• ✓Decide what humans and AI each do
• ✓Agree on ground rules for safe use
• ✓Plan and evaluate a shared pilot