Preparing for Google Cloud Certification: Cloud DevOps Engineer Professional Certificate

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Learn Path Description

This program provides the skills you need to advance your career as a data engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional DevOps Engineer certification. 87% of Google Cloud certified users feel more confident in their cloud skills. You'll also have the opportunity to practice key job skills using Google Cloud to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents. You will learn to apply SRE principles to a service, techniques for monitoring, troubleshooting, and improving infrastructure and application performance among other things. Your journey to Google Cloud certification: 

1) Complete the Coursera Site Reliability Engineering and DevOps Professional Certificate 

2) Review other recommended learning resources for the Google Cloud Professional Cloud DevOps Engineer certification exam 

3) Review the Professional Cloud DevOps Engineer exam guide 

4) Take the Professional Cloud DevOps Engineer practice exam 

5) Register for the Google Cloud certification exam (Can be taken remotely or at a test center)

Skills You Will Gain

Courses In This Learning Path

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Total Duration

12 hours

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Level

Intermediate

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Learn Type

Certifications

Google Cloud Fundamentals: Core Infrastructure

This course introduces key concepts and terminology to help you work with Google Cloud Platform (GCP). This course will help you compare and learn about many computing and storage services offered by Google Cloud Platform (GCP), including Google App Engine and Google Compute Engine. Learn about key resource and policy management tools such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. You will be able to use GCP in practical labs.

Notice: *Google services currently are not available in China.

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Total Duration

8 hours

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Level

Beginner

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Learn Type

Certifications

Developing a Google SRE Culture

Many IT companies don't align incentives between developers who want to be agile and operators who are more concerned with stability. Google uses site reliability engineering (or SRE) to align incentives between operations and development. It also provides mission-critical production support. SRE can improve the collaboration between IT and business by incorporating SRE technical and cultural practices. This course explains the key practices of Google SRE, and the importance of IT and business leaders in the adoption of SRE.

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Total Duration

8 hours

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Level

Advanced

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Learn Type

Certifications

Reliable Google Cloud Infrastructure: Design and Process

Students will learn how to create highly reliable, efficient solutions for Google Cloud using established design patterns. This course is a continuation from the Architecting using Google Compute Engine and Architecting With Google Kubernetes Engine courses. It assumes hands-on knowledge of the technologies covered in those courses. Participants will learn how to balance business and technical requirements in order to create Google Cloud deployments that can be highly reliable, available, secure, cost-effective, and affordable. This course combines presentations with design activities and hands-on labs.

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Total Duration

15 hours

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Level

Beginner

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Learn Type

Certifications

Logging, Monitoring and Observability in Google Cloud

You will learn how to monitor, troubleshoot and improve your application and infrastructure performance. This course is based on the principles of Site Reliability Engineering. It includes lectures, demonstrations, hands-on labs and real-world case study. This course will give you experience in full-stack monitoring and real-time log analysis. You'll also learn how to debug production code and profile CPU and memory usage.

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Total Duration

11 hours

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Level

Intermediate

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Learn Type

Certifications

Getting Started with Google Kubernetes Engine

Each module in this course aims to improve your GKE interaction and provides hands-on labs to allow you to try out functionalities. The first module will introduce you to the various Google Cloud services and features. This module is designed to help you select the best Google Cloud services for your cloud solution. Learn how to create a container with Cloud Build and how to store it in Container Registry. The Kubernetes Engine and Google Kubernetes Engine will be compared and contrasted. You'll also be able to design the Kubernetes architecture and deploy Kubernetes clusters using GKE.

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