From assistant to agent
objectives, work sequences and the difference between generating answers and taking actions.
The AI Agents course introduces intelligent agents for business tasks. Explore goals, tools, working context and controls to build workflows that operate within explicit boundaries.

An agent connects a model to actions and tools. Useful agents need bounded tasks, proportionate permissions and clear criteria for stopping or requesting approval.
objectives, work sequences and the difference between generating answers and taking actions.
APIs, available data, task state and handling intermediate results.
least privilege, human approval, execution limits and untrusted input handling.
test cases, errors, logs, usage costs and stopping criteria.
Prototype an agent that summarizes demonstration sources and proposes an action: source checks, usage limits and human approval before changing data or sending communications.
No. The course assesses which steps to automate and which should remain under human control, especially actions affecting data and people.
Design starts with process logic. Advanced integrations may benefit from technical skills, depending on the use case.
Use the form on this page to describe your needs and starting level. The school will confirm availability, duration, delivery arrangements, tool requirements and course conditions.
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