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.
Machine Learning Operations (MLOps): Getting Started
Machine Learning Operations (MLOps): Getting Started
This course is part of Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
Instructor: Google Cloud Training
Access provided by INEFOP - Instituto Nacional de Empleo y Formación Profesional de Uruguay
43,555 already enrolled
Gain insight into a topic and learn the fundamentals.
481 reviews
Intermediate level
Some related experience required
Flexible schedule
1 hour to complete
Learn at your own pace
91%
Most learners liked this course
What you'll learn
Identify and use core technologies required to support effective MLOps.
Adopt the best CI/CD practices in the context of ML systems.
Configure and provision Google Cloud architectures for reliable and effective MLOps environments.
Implement reliable and repeatable training and inference workflows.
Skills you'll gain
- Google Cloud Platform
- DevOps
- Continuous Integration
- Model Deployment
- Machine Learning
- MLOps (Machine Learning Operations)
- Model Evaluation
- Data Pipelines
- Continuous Deployment
- Automation
- Cloud Deployment
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Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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Build your Machine Learning expertise
This course is part of the Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Google Cloud
There is 1 module in this course
This module provides the overview of the course
What's included
1 video
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Showing 3 of 481
TK
Reviewed on Feb 19, 2021
This was a good course along with google qwiklab which guide you through out the lab which makes a enrolled person a successful learner .
PG
Reviewed on Jun 2, 2021
It was good experience learning about the deployment process of ML application on GCP.
SC
Reviewed on Jul 6, 2021
Well designed course with Qwiklabs hands-on experience, awesome learning. Thanks to Google Cloud Team and Coursera
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