Udemy – Testing and Monitoring Machine Learning Model Deployments


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ML testing strategies, shadow deployments, production model monitoring and more

What you’ll learn

  • Machine Learning System Unit Testing
  • Machine Learning System Integration Testing
  • Machine Learning System Differential Testing
  • Shadow Deployments (also known as Dark/Decoy launches)
  • Statistical Techniques for Assessing Shadow Deployments
  • Monitoring ML System with Metrics (Prometheus & Grafana)
  • Monitoring ML Systems with Logs (Kibana & the Elastic Stack)
  • The Theory Around Continuous Delivery for Machine Learning

Who this course is for:

  • Data Scientists who want to know how to test & monitor their models beyond in production
  • Software engineers who want to learn about Machine Learning engineering
  • Machine Learning engineers who want to improve their testing & monitoring skills
  • Data Engineers looking to transition to ML engineering
  • Lovers of open source technologies

Course Page:_https://www.udemy.com/course/testing-and-monitoring-machine-learning-model-deployments/

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