Browse the catalogue by role. Each page collects the training that fits how you work.
Training for agile practitioners: Scrum and PO foundations, SAFe roles, agile requirements and the BDD/TDD discipline behind 'done' -- with AI as the newest change to facilitate.
Training for AI and data engineers: turning data into analytics, vision models, DevAIOps pipelines and EU AI Act-compliant systems -- a small, deliberately focused track.
Training for professionals who use AI but do not build it: analysts, consultants, founders and legal -- practical tools, certifications and EU AI Act literacy.
Training for DevOps and platform engineers: the DASA curriculum, CI/CD, observability and release discipline -- with DevAIOps and AI automation as one added strand.
Training for embedded engineers: C and RTOS foundations, embedded architecture, on-target testing, CI and safety practices -- plus AI tooling where it earns its place.
Training for engineering leaders: SAFe leadership, engineering-manager essentials, architecture for decision-makers -- with enough AI hands-on to lead the change.
Training for product and innovation leaders: product-owner craft, SAFe POPM, DASA product management and OKRs -- with AI discovery and ideation as one added strand.
Training for quality and compliance engineers: TDD, BDD, Specify-and-Verify, embedded testing and safety practice -- with AI tool review and the EU AI Act added on.
Training for software engineers shipping in AI-assisted workflows: tools, TDD with AI, spec-driven development, architecture review -- the disciplines AI does not replace.
Training for systems architects: designing for change, agile and embedded architecture, spec-driven development and SAFe -- with AI architecture as one added input.
Training for transformation leaders: Leading SAFe, SAFe Agilist, scrum and lean-agile change leadership -- with AI governance and opportunity-mapping as the current wave.