SAP is rolling AI into every part of its product line – Joule, AI Core, Generative AI Hub, Business AI – and the pace of that rollout has left a real gap: plenty of people can recite the product names, but very few can actually design where AI belongs in a real SAP process, write a prompt that gets a useful answer instead of a generic one, or explain to a stakeholder why a governance guardrail matters. This course closes that gap directly, with a hands-on, project-based approach instead of a slide-heavy product tour.
You’ll work through nine progressively deeper labs, each one building on the last, all following one running example – a delayed-delivery scenario in Order-to-Cash – so you can see concretely how a single business problem gets carried from a one-line opportunity map all the way to a fully designed, governed, and pitched AI solution. That thread is deliberate: most AI courses teach concepts in isolation, but real AI consulting work is about carrying one idea through requirements, design, prompting, architecture, and governance without losing the plot. By the end, you won’t just know what AI Core and BTP integration are – you’ll have actually designed a copilot that uses them, on paper, in the same level of detail a real project team would expect.
