Advanced · Self-paced learning
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In this course, an AI team is a configured workflow with at least three distinct AI roles. Select a leadership or security task and build a working setup in an authorised test environment. For example, separate analysis, drafting and checking into different roles. Specify the information each role receives, enforce access limits through tool or system permissions and decide where a person must approve, intervene or stop.
Run a normal case and failure cases, including an attempt to access a restricted source. Record sources, configuration, handovers and results, assess them against your criteria and rerun the cases after a change. In a situation briefing, for example, follow a conflicting source through the handovers, correct an unsupported statement and compare the effort with a simpler workflow.
Take away the team tested in the environment, role specifications and a test record as a basis for the next organisational decision. Synthetic data allows participation without confidential organisational information.
Your AI team runs in the test environment with configured roles, restricted access and executed test cases. The record shows errors and human intervention points for the next use.
Basic experience with AI applications and a suitable working process or an example case. A laptop and authorised access to the tool environment are required. The specific environment, required accounts and any additional costs have not yet been determined.
Planned as ten to twelve hours of self-study, with course materials guiding the configuration.
Planned learning time: 10–12 hours
