In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
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.
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来自GETTING STARTED WITH APPLICATION DEVELOPMENT的热门评论
The course is very well detailed and provide hand on experience for the theory. However I have some feedback on lab, some of the labs are not updated in terms of version of language need to be used.
I thought the course was generally good, but too many of the videos felt like they were just dumping information onto me without giving examples that would help make the content more understandable.
It is an Amazing Course to learn and grow in life . Thank you Coursera and Google Cloud & Team for giving me this opportunity to learn and make my self better in the filed of Technology .
it's good but it's a bit tedious to replicate everything in node, java and python. Also too much to learn and a lil bit of free roaming on qwiklabs vs railed practices would be awesome.
关于 Developing Applications with Google Cloud 专项课程
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.