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.
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars47.45%
- 4 stars26.27%
- 3 stars15.53%
- 2 stars4.80%
- 1 star5.93%
MLOPS (MACHINE LEARNING OPERATIONS) FUNDAMENTALS からの人気レビュー
I think there should be more content about AIML can be better choice or preferable. Otherwise all the things are okay I enjoyed this course and learn a lot.\n\nThankYou So much.
Videos are good, a lab was initially broken but fixed in a few days.
excellent experience. thank you very much coursera and google to give the oppurtunity to get certificate free.
Loved the content, labs, and regularly intervened quiz. The only suggestion is that, for Juniper Labs, a detailed video solution would have added more value to this course.
Google Cloud 認定資格の取得準備：機械学習エンジニア プロフェッショナル認定証について
87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification.