Testing and Monitoring Machine Learning Model Deployments

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

Learn how to test & monitor production machine learning models. This is the first and only online course where you can learn how to test & monitor machine learning models. The course is comprehensive, and yet easy to follow. Throughout this course you will learn all the steps and techniques required to effectively test & monitor machine learning models professionally. In this course, you will have at your fingertips the sequence of steps that you need to follow to test & monitor a machine learning model, plus a project template with full code, that you can adapt to your own models.

Best Seller Course: Complete Machine Learning and Data Science: Zero to Mastery

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

You May Also Need This Course: Complete 2020 Data Science & Machine Learning Bootcamp

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