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.
À propos de ce cours
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 stars47,59 %
- 4 stars26,06 %
- 3 stars15,58 %
- 2 stars4,81 %
- 1 star5,94 %
Meilleurs avis pour MLOPS (MACHINE LEARNING OPERATIONS) FUNDAMENTALS
A few of the labs didn't work, had to contact support. Also would be good to point to documentation for various tools like kfp-cli Otherwise good.
Very informative. Provides the basic needs to understand creating ml pipelines.
Great course to start for learning about MLOps. However, I hope there will have more videos to explain details on LABs.
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.
À propos du Nombre de Préparation à la certification Google Cloud : ingénieur en apprentissage automatique Certificat Professionnel
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.
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