Deciding what is worth building, then carrying it through
Product work is less about building than about choosing well – and that is the spine of this track: the product-owner craft of turning a backlog into delivered value, SAFe POPM for product management inside a scaled organisation, DASA product management for strategic product leadership, and OKRs for aligning what teams do with what the business actually needs.
Around it sits the full arc from discovery to delivery: understanding users before committing engineering, framing bets you can defend, and the product-owner foundations – general and embedded – for owning the result rather than just the plan. Whether your product runs in the cloud or on a device, the work of saying no to good-but-wrong ideas is the same.
AI is one more thing to be clear-eyed about. It has made it trivial to produce something that looks like a product in an afternoon, which makes the judgement of what is worth building harder, not easier. So the track adds AI for product management and discovery, opportunity-mapping and ideation workshops – aimed at turning a vague “we should do something with AI” into a shortlist you can defend, not at chasing the trend.
The hardest move in product work is not building the thing – it is killing the ideas that do not survive contact with users, and having the governance to make that call stick. That is what this track is built to train. For the engineering road your teams travel once a bet is made, see the AI-Assisted Software Development path.