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.
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Principales reseñas sobre MLOPS (MACHINE LEARNING OPERATIONS) FUNDAMENTALS
The content related to MLOps on GCP is quite good. If the labs were improved slightly to remove some of the bugs that are commonly posted in the message boards, this would be a 5 star.
Course content was good. However, many of the Qwiklabs had bugs, resulting in not being able to complete the course with a grade of 100%.
Great course to start for learning about MLOps. However, I hope there will have more videos to explain details on LABs.
I liked it. Made me realize how much of a pain MLOps really is.
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
Is financial aid available?
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