Intermediate Certificate

ML Ops & Model Deployment

Learn to deploy and manage ML models in production. This course covers the entire MLOps lifecycle from model versioning to monitoring and scaling.

4.6(1,123 reviews)
7,891 students25 hoursUpdated March 2026

Rachel Green

MLOps Lead at 1.ML

Free

Full access to all content

Duration25 hours
Lessons65
LevelIntermediate
LanguageEnglish
CertificateIncluded

What You'll Learn

Model versioning with MLflow
Containerization with Docker
Orchestration with Kubernetes
CI/CD for ML pipelines
Model monitoring and observability
A/B testing and canary deployments

Requirements

  • Basic ML knowledge
  • Python programming
  • Familiarity with command line
  • Basic understanding of cloud services

Course Curriculum

Introduction to MLOpsFREE
30:00
Model VersioningFREE
1:00:00
Experiment Tracking
45:00
Feature Stores
1:15:00

Instructor

Rachel Green

MLOps Lead at 1.ML

Rachel Green is the MLOps Lead at 1.ML, where she manages the infrastructure serving millions of predictions daily. She brings practical experience from building ML platforms at Fortune 500 companies.