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.
About this Course
Skills you will gain
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 stars64.01%
- 4 stars26.40%
- 3 stars7.18%
- 2 stars1.43%
- 1 star0.95%
TOP REVIEWS FROM GETTING STARTED WITH APPLICATION DEVELOPMENT
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.
it is very amazing course i have learned very much from this, thank you Google, and thank you Coursera for a such nice Course.
Good course. It teaches you the good practices of GCP and provides information to make important decisions when developing a new application.
About the Developing Applications with Google Cloud Specialization
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.
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