In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, 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. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.
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 stars64%
- 4 stars26.37%
- 3 stars7.21%
- 2 stars1.44%
- 1 star0.96%
來自GETTING STARTED WITH APPLICATION DEVELOPMENT的熱門評論
Really helped me lock down my experience and knowledge in google cloud storage options, client libraries and how to use them to achieve a microservice architecture.
Good course. But, mostly the course concentrates on web application. It would be more helpful if you could cover different technologies/domains in each lab.
t was a good free course. I only realised the second time round the labs are ungraded. So I plan on doing them outside Coursera on Qwiklabs itself so I can earn credits for my lab work.
Good course. It teaches you the good practices of GCP and provides information to make important decisions when developing a new application.
關於 Developing Applications with Google Cloud 專項課程
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to use Google Cloud 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.