In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
Informações sobre o curso
Habilidades que você terá
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 stars67,32%
- 4 stars24,86%
- 3 stars5,83%
- 2 stars1,25%
- 1 star0,71%
Principais avaliações do APP DEPLOYMENT, DEBUGGING, AND PERFORMANCE
Loved the course. It helped me put a lot of features together. One feedback for Coursera is to include all PDFs in a resource area like they did for the first course.
Great course, gives you the basics of deployment and debugging tools in google. Good for starting with GCP tools
Very good course from Google Cloud. The lectures and labs both are amazing.
Another excellent course. The only issue is that volume on some videos are significantly lower than others. I was startled several times haha
Sobre Programa de cursos integrados Developing Applications with Google Cloud
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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