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advancedMLOpsCloudAdvanced

Deployment & MLOps

Get your model off the laptop and into production.

Serving, scaling, monitoring, A/B testing, cost control. Cloud reference architectures on AWS, GCP, and Hugging Face — with the boring-but-critical bits like rollbacks and shadow traffic.

Start pathCertify on CertQuests

12h

Duration

10

Lessons

1.7k

Learners

Path map

Lessons unlock as you complete the previous one. Your progress is saved on this device.

  1. Lesson 1

    From notebook to production — the gap

    9m35 XP

  2. Lesson 2

    Inference servers — vLLM, TGI, Triton, SGLang

    12m50 XP

  3. Lesson 3

    Cloud GPUs — picking the right machine

    10m40 XP

  4. Lesson 4

    Containers & immutable deployments

    10m40 XP

  5. Lesson 5

    Autoscaling & traffic patterns

    10m40 XP

  6. Lesson 6

    Cost optimization that actually moves the needle

    11m45 XP

  7. Lesson 7

    Monitoring — what to actually watch

    10m40 XP

  8. Lesson 8

    Shadow traffic, canaries, and A/B tests

    11m45 XP

  9. Lesson 9

    CI/CD for ML pipelines

    9m35 XP

  10. Lesson 10

    Capstone: design a production stack

    14m70 XP