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%
GETTING STARTED WITH APPLICATION DEVELOPMENT からの人気レビュー
A course with pretty much clarity of storage options with an overview of examples that brings closer to implementation. Impressive indeed. Thank you.
The course is good overall. I think it would be better if there was an option to choose a single lab in preferred language (JS, Java or Python) instead of doing all 3 each time.
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.
Great contents! I'd love to have more in depth labs like the one we had for Cloud Datastore and that there's a lab to do the same as in the demo videos
Developing Applications with Google Cloud専門講座について
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.