MLOps (Machine Learning Operations) Fundamentals
Offered By: Pluralsight
Course Description
Overview
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
Taught by
Google Cloud
Related Courses
Cloud Machine Learning Engineering and MLOpsDuke University via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera AI edge engineer
Microsoft via Microsoft Learn Scale AI in your organization
Microsoft via Microsoft Learn