Architecture choices
- Batch
- online
- serverless
- containers and managed services
MLOPS & CLOUD / SPECIALIST
Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.
BEFORE YOU BEGIN
Prerequisites: MLO401 · MLO410
Specialist studio; environment and faculty must be confirmed before scheduling
WHAT YOU SHOULD BE ABLE TO DEMONSTRATE
THE SUBJECTS / FOUR CONNECTED UNITS
THE TRAINING STUDIO
Design and locally load-test a model-serving architecture with a cost model and deployment/recovery checklist.
Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.
ASSESS THE REASONING
When is batch prediction preferable to an always-on endpoint?
Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.
External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.