MLOPS & CLOUD / SPECIALIST

MLO420Kubernetes & platform engineering for ML

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

Explain the assumptions and failure modes in cluster primitives.
Complete the practical: deploy a small model service to an approved local cluster and rehearse a failed-health-check rollout.
Defend the resulting manifests with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 016 h allocated

Cluster primitives

Pods
deployments
services
namespaces

UNIT 026 h allocated

Workload operations

Requests and limits
probes
configuration
secrets

UNIT 036 h allocated

ML platform patterns

Batch jobs
accelerator scheduling concepts
storage
model serving

UNIT 046 h allocated

Release controls

Rollouts
observability
failure drills
cost and access boundaries

THE TRAINING STUDIO

Make the subject
visible in your work.

Deploy a small model service to an approved local cluster and rehearse a failed-health-check rollout.

Evidence to produce

Manifests
probe tests
rollout and recovery record

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.

How can a service be running but not ready to accept inference traffic?

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.

Continue in the official reference ↗Programme assessment framework →

External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.