Google Cloud Engineer
Develop the skills to deploy and operate a Google Cloud service through a learning path centred on Google Cloud Engineer. Explore concepts, guided practice and an applied project.
Build practical Google Cloud Engineer skills.
Skills and knowledge developed in this course.
- Project setup
- Compute deployment
- Network configuration
- Data operations
- Operational controls
- Engineering lab
About this course
This course develops practical capability in Google Cloud Engineer. Its course-specific content covers Project setup, Compute deployment, Network configuration, Data operations, followed by an applied project focused on deploy and operate a google cloud service. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with Google Cloud Engineer or plan to take on responsibilities in this area.
Before you start
Basic computer literacy and a foundational understanding of cloud computing. Prior experience with the named product helps with the practical exercises.
Deploy and operate a Google Cloud service
Deliver deploy and operate a google cloud service. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Project setup
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- CLI configuration and project permissions
- Service enablement and account boundaries
Practical exerciseApply project setup to the deploy and operate a google cloud service and capture the validation evidence.
02Compute deployment
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- VM templates and instance management
- Container deployment with Cloud Run or GKE
Practical exerciseApply compute deployment to the deploy and operate a google cloud service and capture the validation evidence.
03Network configuration
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- Subnets, routes and firewall rules
- Service connectivity and load balancing
Practical exerciseApply network configuration to the deploy and operate a google cloud service and capture the validation evidence.
04Data operations
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- Storage permissions and retention
- Managed database connectivity and backup checks
Practical exerciseApply data operations to the deploy and operate a google cloud service and capture the validation evidence.
05Operational controls
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- Monitoring, logs and alert policies
- Billing budgets and configuration review
Practical exerciseApply operational controls to the deploy and operate a google cloud service and capture the validation evidence.
06Engineering lab
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- Release and troubleshoot a small service
- Deliver deployment and operating instructions
Practical exerciseApply engineering lab to the deploy and operate a google cloud service and capture the validation evidence.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Project setup · Compute deployment
Establish the Google Cloud Engineer scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Network configuration · Data operations
Apply the core Google Cloud Engineer techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for deploy and operate a google cloud service. - 04Learning milestone 4 In progress
Deliver the applied project
Complete deploy and operate a google cloud service, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| Cloud Engineer | ₹6–12 LPA | ₹15–28 LPA | ₹30–52 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗