In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP 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. Prerequisites and prework: • Completed Google Cloud Platform Fundamentals or have equivalent experience • Working knowledge of Node.js, Java, or Python • Basic proficiency with command-line tools and Linux operating system environments
This course is part of the Developing Applications with Google Cloud Platform Specialization
Getting Started With Application Development
Offered By
About this Course
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Learner Career Outcomes
50%
started a new career after completing these courses
56%
got a tangible career benefit from this course
12%
got a pay increase or promotion
What you will learn
Describe best practices for cloud-native application development.
Differentiate between data storage options for various types of application data. Data storage options include Google Cloud Storage, Google Cloud Datastore, Google Cloud Bigtable, Google Cloud SQL, Cloud Spanner, Google BigQuery.
Implement solution for storing non-relational application data in Cloud Datastore.
Implement storage solution for objects (binary and large files) using Cloud Storage.
Skills you will gain
Cloud StorageData StoreGoogle Cloud PlatformCloud Computing
Learner Career Outcomes
50%
started a new career after completing these courses
56%
got a tangible career benefit from this course
12%
got a pay increase or promotion
100% online
Start instantly and learn at your own schedule.
Course 2 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 8 hours to complete
Suggested: 1 week of study, 8-10 hours/week
English
Subtitles: English
Syllabus - What you will learn from this course
28 minutes to complete
Introduction to Getting Started With Application Development
This module introduces the specialization and the course structure.
28 minutes to complete
3 videos (Total 6 min), 3 readings
3 videos
Topics covered in the specialization2m
Welcome to the Course50s
3 readings
Course Information10m
How to download course resources2m
How to Send Feedback10m
1 hour to complete
Best Practices for Application Development
This module introduces best practices for application development.
1 hour to complete
2 videos (Total 24 min)
2 practice exercises
Practice Quiz: Best Practices for Application Development30m
Final Quiz: Best Practices for Application Development30m
4 hours to complete
Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK
This module introduces the Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK.
4 hours to complete
5 videos (Total 16 min)
5 videos
Demo: API Explorer Walkthrough3m
Getting Started with Google Cloud Platform and Qwiklabs3m
Lab Overview21s
Module Review49s
2 practice exercises
Practice Quiz: Google Cloud SDK, Google Cloud Client Libraries, & Firebase SDK30m
Final Quiz: Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK30m
1 hour to complete
Data Storage Options
This module introduces the various data storage options available to your applications in GCP.
1 hour to complete
4 videos (Total 25 min)
4 videos
BigQuery, Microsoft SQL Server images on GCP, and Firebase Storage Options2m
Demo: Connecting Securely to a Cloud SQL Database7m
Module Review1m
1 practice exercise
Final Quiz: Data Storage Options30m
5 hours to complete
Best Practices for Using Cloud Datastore
This module covers best practices for using Cloud Datastore.
5 hours to complete
7 videos (Total 41 min)
7 videos
Demo: Explore Cloud Datastore14m
Design Considerations & Sharding3m
Replication, Query Types, Transactions, and Handling Errors5m
Demo: Use Cloud Dataflow to bulk-load data into Cloud Datastore8m
Lab Overview1m
Module Review1m
2 practice exercises
Practice Quiz: Best Practices for Using Cloud Datastore30m
Final Quiz: Best Practices for Using Cloud Datastore30m
5 hours to complete
Best Practices for Using Cloud Storage
This module covers best practices for using Cloud Storage.
5 hours to complete
7 videos (Total 37 min)
7 videos
Demo: Explore Cloud Storage11m
Bucket / Object Operations and Truncated Exponential Backoff4m
Demo: Enable CORS configuration in Cloud Storage5m
Best Practices for Cloud Storage11m
Lab Overview21s
Module Review50s
2 practice exercises
Practice Quiz: Best Practices for Cloud Storage30m
Final Quiz: Best Practices for Cloud Storage30m
1 minute to complete
Wrap Up
This module reviews the concepts covered in the course.
1 minute to complete
1 video (Total 1 min)
1 video
4.5
176 ReviewsTop reviews from Getting Started With Application Development
t was a good free course. I only realised the second time round the labs are ungraded. So I plan on doing them outside Coursera on Qwiklabs itself so I can earn credits for my lab work.
You can gain a certificate just by clicking through the tests that are aimed on imbecils. Now I understand where all those "Certified cloud specialists" are from.
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.
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.
This class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.
This course teaches participants the following skills:
• Use best practices for application development.
• Choose the appropriate data storage option for application data.
• Implement federated identity management.
• Develop loosely coupled application components or microservices.
• Integrate application components and data sources.
• Debug, trace, and monitor applications.
• Perform repeatable deployments with containers and deployment services.
• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.
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