MLOps Fundamentals (Intermediate): From Training to Production

Learn how to deploy, monitor, and maintain machine learning models in production environments.

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... English
... Certificate Course
... 0 Students
... 14h 00m

Course Overview

About This Course

MLOps bridges the gap between machine learning and production systems. This course teaches practical patterns for deploying, monitoring, and maintaining ML models.

What You Will Learn

  • ML lifecycle and production challenges
  • Model versioning and experiment tracking
  • Deployment patterns (batch & real-time)
  • Monitoring performance and drift
  • Rollback and retraining strategies
  • Building a simple ML pipeline

Duration

7–11 hours (self-paced).

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Requirment

  • Basic machine learning knowledge

  • Python familiarity

  • Understanding of ML training workflows

Outcomes

  • Deploy ML models reliably

  • Monitor model performance in production

  • Handle retraining and versioning

  • Understand real-world ML operations

Instructor

...
Dr. Kay

1.8

  • ... 13 Students
  • ... 92 Courses
  • ... 2 Reviews

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    Students

    0
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    Language

    English
  • ...

    Duration

    14h 00m
  • Level

    intermediate
  • ...

    Expiry period

    Lifetime
  • ...

    Certificate

    yes
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