AI learning tracks by role
Start with the work you do. Each track puts explainers, definitions and conversations in an order chosen for your role, with a reason for every step.
These routes draw from all five levels of the AI, decoded pathway. Use a track for a particular job or follow the levels to build depth across the subject.
Business leaders and executives
For leaders making AI decisions in clinical, financial, operations and other business teams.
You can question an AI proposal, define evidence of value and set boundaries before expanding its use.
Product managers
For product managers defining AI features, acceptance criteria and the work people keep.
You can scope an AI feature, specify how to judge it and measure whether it improves the user’s work.
Software engineers new to AI
For software engineers adding language models and agents to their existing engineering skills.
You can explain an AI application’s components, test its behavior and review the code used to build it.
Engineers taking AI to production
For engineers and architects responsible for operating AI systems beyond a working demo.
You can define release checks, trace failures and bound the cost and authority of a production agent.
Security, governance and compliance
For security, risk and compliance teams reviewing AI data access, actions and accountability.
You can review an agent’s access and oversight, identify needed audit evidence and scope adversarial testing.