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 develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways.
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 stars67.10%
- 4 stars25.19%
- 3 stars5.98%
- 2 stars1.08%
- 1 star0.62%
來自SECURING AND INTEGRATING COMPONENTS OF YOUR APPLICATION的熱門評論
Excellent course with great hand-on exercises. Must for all cloud Developer.
Easy to follow and quite applicable information is taught without too many difficult technical words and lists. I felt that I could implement or help others implement these applications.
In one of the lab sessions, I had trouble logging into a lab account with its given credentials because it was asking me for a phone number to continue.
It's interesting. Learnt a lot new things. It's my favourite part of this course. I liked authentication, Cloud Pub/Sub and REST API and it's explained very well.
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.