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MLOPS & CLOUD / SPECIALIST

MLO430Cloud architecture & model-serving systems

24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief

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

A clear starting point.

Prerequisites: MLO401 · MLO410

Specialist studio; environment and faculty must be confirmed before scheduling

WHAT YOU SHOULD BE ABLE TO DEMONSTRATE

  1. Explain the assumptions and failure modes in architecture choices.
  2. Complete the practical: design and locally load-test a model-serving architecture with a cost model and deployment/recovery checklist.
  3. Defend the resulting architecture diagram with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 016 h allocated

Architecture choices

  • Batch
  • online
  • serverless
  • containers and managed services
UNIT 026 h allocated

Service contracts

  • Authentication
  • quotas
  • input limits
  • queues and retries
UNIT 036 h allocated

Inference performance

  • Batching
  • caching
  • cold starts
  • latency and throughput
UNIT 046 h allocated

Operations and cost

  • Monitoring
  • budgets
  • least privilege
  • recovery and retention

THE TRAINING STUDIO

Make the subject
visible in your work.

Design and locally load-test a model-serving architecture with a cost model and deployment/recovery checklist.

Evidence to produce

  • Architecture diagram
  • latency benchmark
  • cost assumptions
  • recovery plan

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

A question you
should be able to answer.

When is batch prediction preferable to an always-on endpoint?

Review dimensions

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.

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