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Tracks

Academy content is grouped into four tracks. Each builds on the one before, so a learner can climb from first principles to advanced practice.

The foundation: what Rival is, the core building blocks, the marketplace, and RivalBot. By the end, a learner understands what the platform is and can find and adopt a solution.

Making things: building agents, automating with workflows, setting up connectors, and scheduling rituals. This track turns a user into a builder.

Running AI across an organization: governance, security, permissions, audit logs, and cost controls. This is the admin’s track — the material behind a controlled, scalable rollout.

The deep end: multi-agent systems, automation design, enterprise deployment, designing enterprise workflows, and enterprise AI security. For teams ready to operate AI as core infrastructure.

A builder who finished Track 2 hits a process too complex for a single workflow. Track 4’s multi-agent lesson gives them the pattern — orchestrator plus specialists with human escalation — and links straight to the reference to implement it.