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)
Course 1: Google Cloud Platform Fundamentals: Core Infrastructure - Offered by Google Cloud. This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You ... Enroll for free.
Course 2: Developing a Google SRE Culture - Offered by Google Cloud. In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who ... Enroll for free.
Course 3: Reliable Google Cloud Infrastructure: Design and Process - Offered by Google Cloud. This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design ... Enroll for free.
Course 4: Logging, Monitoring and Observability in Google Cloud - Offered by Google Cloud. Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the ... Enroll for free.
Course 5: Getting Started with Google Kubernetes Engine - Offered by Google Cloud. In this course, each module aims to build on your ability to interact with GKE, and includes hands-on labs for you ... Enroll for free.
This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.
•Google services are currently unavailable in China.
In this course, each module aims to build on your ability to interact with GKE, and includes hands-on labs for you to experience functionalities first-hand. In the first module, you'll be introduced to a range of Google Cloud services and features, with a view to helping you choose the right Google Cloud services to create your own cloud solution. You'll learn about creating a container using Cloud Build, and store a container in Container Registry. You'll also compare and contrast the features of Kubernetes and Google Kubernetes Engine, also referred to as GKE. In addition to conceptualizing the Kubernetes architecture, you'll deploy a Kubernetes cluster using GKE, deploy Pods to a GKE cluster, and view and manage Kubernetes objects.
This course equips students to build highly reliable and efficient solutions
on Google Cloud using proven design patterns. It is a continuation of the Architecting
with Google Compute Engine or Architecting with Google Kubernetes Engine courses
and assumes hands-on experience with the technologies covered in either of those
courses. Through a combination of presentations, design activities, and hands-on
labs, participants learn to define and balance business and technical requirements
to design Google Cloud deployments that are highly reliable, highly available, secure,
In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
IT leaders and business leaders who are interested in embracing SRE philosophy. Roles include, but are not limited to CTO, IT director/manager, engineering VP/director/manager.
Other product and IT roles such as operations managers or engineers, software engineers, service managers, or product managers may also find this content useful as an introduction to SRE.
Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability Engineering (SRE), this course features a combination of lectures, demos, hands-on labs, and real-world case studies. In this course, you'll gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, and profiling CPU and memory usage.