Data

Intro to MLOps for Analysts

Analysts increasingly babysit model outputs. This survey course explains versioning, drift concepts, and monitoring dashboards from a consumer perspective. Labs stay in hosted notebooks with synthetic models.

Intro to MLOps for Analysts course cover imagery

Live lectures + labs · 3 weeks · Intermediate

3,600,000 VND

Informational pricing — admissions confirms payment schedule.

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Responsible lead

Portrait placeholder for Gia Bao Do

Gia Bao Do

Applied scientist advising Blaze Volt data tracks.

Curriculum inclusions

  • Artifact storage vocabulary
  • Baseline vs champion language
  • Monitoring charts explained for non-PhDs
  • Ethical review prompts
  • Handoff questions for ML engineers

Participant outcomes

  • Write a monitoring readout for leadership
  • List data dependencies for a sample model card
  • Identify when to pause automated decisions

FAQ

No. We inspect training pipelines conceptually with toy examples.

Cohort reviews

Intro to MLOps for Analysts gave me the questions I ask ML engineers before approving a dashboard tile. Drift section was clarifying.
— Son · Analytics translator