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MLOps

Introduction to ML model deployment and operations.

What You'll Learn​

  • What is MLOps?
  • ML lifecycle management
  • Model versioning
  • Model deployment
  • Monitoring and maintenance
  • CI/CD for ML

Prerequisites​

  • Machine Learning basics
  • Basic DevOps understanding

Course Duration​

Approximately 1.5 hours

MLOps Lifecycle​

  1. Data Collection
  2. Data Preparation
  3. Model Training
  4. Model Evaluation
  5. Model Deployment
  6. Monitoring
  7. Retraining

Key Tools​

  • MLflow
  • Kubeflow
  • DVC (Data Version Control)
  • Weights & Biases
  • Neptune.ai

Next Steps​

Explore Cloud AI platforms for production deployment!