MDG from the engine room
Re-learn the MDG you already configure, the way a developer sees it: storage, model, workflow and replication as code paths you can trace, debug and explain to an AI assistant.
0/4 doneABAP for MDG
Read, write and test the ABAP that sits behind MDG configuration: modern syntax, validation and derivation BAdIs, the governance APIs and the UI layer.
0/4 doneThe modern S/4HANA stack
CDS, Business Partner, consolidation and clean core: the technical context every S/4HANA MDG interview assumes you already know.
0/4 doneData engineering for master data
Python, SQL and APIs: the hands-on tools behind every AI workflow on master data, explained for someone who already knows the business objects cold.
0/4 doneAI foundations
Understand how language models work, well enough to design, prompt, ground and call them for real SAP MDG work.
0/5 doneAI inside MDG
Apply AI to the work you already know (data quality, matching, migration) with designs that keep MDG change requests, stewards and audit trails in control.
0/5 doneCapstone and career
Build one project you can demo, tell your story as an AI-native technical MDG consultant, handle technical interviews with a repeatable structure, and follow a 90-day plan that turns this course into proof.
0/4 done