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Developer Best Practices on Google Cloud
Instructors: Google Cloud Training
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Identify the purpose and value of Google Cloud products and services.
Learn the skills needed to be successful in a cloud developer engineering role.
Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.
Techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud
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A Cloud Developer designs, builds, analyzes, and maintains cloud-native applications. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Developer role. Once you complete the path, check out the Google Cloud Developer certification to take the next steps on your professional journey.
Applied Learning Project
This specialization incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
Learn about the labs platform, and identify key features of a lab environment, and learn how to access the Cloud Console with specific credentials.
Learn about Google Cloud projects, and identify common misconceptions about them. Learn about the API library, and examine its chief features.
Learn how to use the Google Cloud Navigation menu to identify types of Google Cloud services
Learn about primitive roles, and use the Cloud IAM service to inspect actions available to specific users.
Identify the purpose and value of Google Cloud products and services.
Define how infrastructure is organized and controlled in Google Cloud
Explain how to create a basic infrastructure in Google Cloud
Select and use Google Cloud storage options
Discuss best practices for application development in the cloud.
Understand how to choose the appropriate data storage option for application use cases.
Use authentication and authorization to secure an application.
Describe use cases for the different Google Cloud compute options used for running applications.
Describe the benefits and challenges of microservices-based architectures.
Describe the advantages of event-driven applications.
Identify the strengths of orchestration and choreography.
Use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate a microservices application on Google Cloud.
Recognize the benefits of and use cases for Cloud Run functions in modern application development.
Understand how to build, test and deploy Cloud Run functions.
Secure and connect Cloud Run functions to resources, and cloud databases.
Use best practices with functions.
Define containers, container images, and package applications into container images.
Identify best practices used to create, test, and secure containers.
Understand the basics of Cloud Run and Google Kubernetes Engine.
Understand the fundamentals of Cloud Run that include the resource model, container lifecycle, and autoscaling.
Develop and test applications locally before deploying to Cloud Run.
Use service identity and IAM with Cloud Run.
Integrate Cloud Run applications with Google Cloud services.
Discover the Gemini API and its generative AI models.
Access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code.
Test the capabilities of the models with text, image, and video prompts from an app.
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
To get the most benefit from this course, participants should have the following prerequisites: • Completed Google Cloud Platform Fundamentals or have equivalent experience • Working knowledge of Node.js • Basic proficiency with command-line tools and Linux operating system environments
We strongly recommend you take these courses in order, beginning with Google Cloud Platform Fundamentals. This is especially important when completing the Google Qwiklabs projects, as these hands-on labs build upon the work you complete in preceding courses.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025)
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