YoVDO

MLOps (Machine Learning Operations) Fundamentals

Offered By: Pluralsight

Tags

MLOps Courses Machine Learning Courses DevOps Courses Google Cloud Platform (GCP) Courses Continuous Improvement Courses Model Evaluation Courses Model Deployment Courses

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. 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

Developing a Tabular Data Model
Microsoft via edX
Data Science in Action - Building a Predictive Churn Model
SAP Learning
Serverless Machine Learning with Tensorflow on Google Cloud Platform 日本語版
Google Cloud via Coursera
Intro to TensorFlow em Português Brasileiro
Google Cloud via Coursera
Serverless Machine Learning con TensorFlow en GCP
Google Cloud via Coursera