Training
Outcome-led learning for product, engineering, architecture, quality, platform, and technical leadership work in a Human + AI delivery system.
Outcome-led Track
The Engineering Track organizes learning around end-to-end engineering outcomes rather than asking teams to assemble isolated technical topics. Each journey is shaped around the product, system, delivery environment, controls, and evidence that matter in the customer’s context.
Explore the course catalogueEngineering Track journeys
A vertical Engineering Track journey for improving one product-delivery flow from opportunity through dependable release and learning.
Optional depth
Specialist depth for responsible AI use across embedded software, firmware, electronics, hardware-software integration, verification, and lifecycle maintenance.
Explore this offerSpecialist depth for applying AI across systems engineering and model-based work while preserving rigor, traceability, configuration control, and accountable judgment.
Explore this offerA vertical Engineering Track journey for designing, building, evaluating, securing, and operating a bounded AI or agentic product capability.
Optional depth
Specialist depth for applying AI across threat modeling, secure design, vulnerability analysis, detection, incident response, automation, and continuous assurance.
Explore this offerSpecialist depth for responsible AI use across data discovery, database and contract design, pipelines, transformation, APIs, events, testing, observability, modernization, and governance.
Explore this offerA vertical Engineering Track journey for turning a promising AI prototype into a governed, observable, resilient, and scalable production service.
Optional depth
Specialist depth for using AI across cloud, platform, infrastructure, automation, observability, reliability, security, cost, and incident work.
Explore this offerSpecialist depth for using AI across workload analysis, capacity, performance testing, diagnosis, observability, failure analysis, resilience validation, and incident learning.
Explore this offerA vertical Engineering Track journey for modernizing one product or platform slice with architecture, flow, quality, continuity, and rollback evidence.
An Engineering Track leadership journey for redesigning the engineering system, platform enablement, governance, workforce, apprenticeship, and evidence around AI-native work.
Optional depth
Cross-Track specialist depth for architects connecting AI choices with enterprise context, portfolios, capabilities, information, integration, governance, and transition.
Explore this offer