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.
This course is part of the Developing Applications with Google Cloud Platform Specialization
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About this Course
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Learner Career Outcomes
40%
started a new career after completing these courses
25%
got a tangible career benefit from this course
17%
got a pay increase or promotion
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 4 in the
Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English
What you will learn
Deploy applications using Container Builder, Container Registry, and Deployment Manager.
Debug, monitor, and troubleshoot your application using Google Stackdriver.
Skills you will gain
Google Container EngineDebuggingGoogle Cloud PlatformCloud Computing
Learner Career Outcomes
40%
started a new career after completing these courses
25%
got a tangible career benefit from this course
17%
got a pay increase or promotion
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 4 in the
Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English
Offered by
Google Cloud
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.
Syllabus - What you will learn from this course
5 hours to complete
Deploying Applications
This module covers deploying your applications in Google Cloud.
5 hours to complete
8 videos (Total 30 min), 3 readings, 5 quizzes
4 hours to complete
Execution Environments for your Application
This module covers the various execution environments available for your application in Google Cloud.
4 hours to complete
9 videos (Total 29 min)
4 hours to complete
Debugging, Monitoring, and Performance Tuning
This module covers debugging, monitoring, and tracing performance in your applications using Google Cloud's operations suite.
4 hours to complete
10 videos (Total 32 min)
Reviews
TOP REVIEWS FROM APP DEPLOYMENT, DEBUGGING, AND PERFORMANCE
by MSJul 21, 2019
The Course was really helpful in understanding statck driver monitoring and different types of applications . The labs were really helpful in understanding the debugging applications etc
by SPApr 3, 2020
This course was really nice. It helped me to learn basics of docker, kubernetes. Also, learnt how to debug apps in GCP. It's really nice learning experience. Thanks a lot!
by SSJun 28, 2019
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.
by PAFeb 3, 2020
The Course slides are not readily downloadable from the Course overview. This is something very useful when studying for a certification exam for instance.
About the Developing Applications with Google Cloud Platform Specialization
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP 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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