Structured paths from first login to power user.

Everyone who opens the platform — engineers, leads, and reviewers.

Self-paced — sized for your first week on the platform.

1. 01Platform orientationWorkspaces, projects, and the module rail — how a RAMSynapse programme is laid out.
2. 02The system modelOne product tree behind every module: items, functions, and the failure data they share.
3. 03The registry and live data linksHow published values flow between analyses — and what happens when a source changes.
4. 04Navigation and rolesMoving between modules without losing context; what each role can see, edit, and release.

Delivered live during onboarding — self-serve courses are being recorded.

Engineers running analyses in one or more RAMS disciplines.

Self-paced — one discipline chain at a time.

1. 01The reliability chainAllocation to Prediction to RBD: apportion targets, predict rates, model the system.
2. 02The risk chainFMECA and Testability: failure modes, criticality ranking, and detection coverage.
3. 03The safety chainFHA and Fault Tree: from functional hazard assessment to quantified fault logic.
4. 04Reading results across modulesTracing any figure from the module that computed it to every analysis that consumes it.

Delivered live during onboarding — self-serve courses are being recorded.

Administrators, method owners, and integration engineers.

Self-paced — taken alongside your deployment.

1. 01Administration and tiersUsers, permissions, and how capability tiers shape what a deployment exposes.
2. 02REST API and integrationsReading and writing analysis data from PLM, requirements, and test toolchains.
3. 03Report templates and exportsBuilding the deliverable templates a whole programme reuses, review after review.
4. 04Modelling conventions for large programmesNaming, tree depth, and library discipline that keep hundred-analysis models navigable.

Delivered live during onboarding — self-serve courses are being recorded.