Google Cloud Fundamentals
Develop the skills to map a sample workload to Google Cloud services through a learning path centred on Google Cloud Fundamentals. Explore concepts, guided practice and an applied project.
Build practical Google Cloud Fundamentals skills.
Skills and knowledge developed in this course.
- Google Cloud organisation
- Identity and access
- Compute options
- Storage and data
- Networks and visibility
- Foundation project
About this course
This course develops practical capability in Google Cloud Fundamentals. Its course-specific content covers Google Cloud organisation, Identity and access, Compute options, Storage and data, followed by an applied project focused on map a sample workload to google cloud services. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Learners starting in cloud computing and professionals who want an organized foundation before more advanced work.
Before you start
Basic computer literacy and comfort using the relevant operating system. No prior production experience is assumed; any lab accounts or software are confirmed before training.
Map a sample workload to Google Cloud services
Deliver map a sample workload to google cloud services. 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.
01Google Cloud organisation
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- Projects, folders and resource hierarchy
- Regions, zones and service responsibility
Practical exerciseApply google cloud organisation to the map a sample workload to google cloud services and capture the validation evidence.
02Identity and access
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- IAM principals, roles and service accounts
- Least-privilege access boundaries
Practical exerciseApply identity and access to the map a sample workload to google cloud services and capture the validation evidence.
03Compute options
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- Compute Engine and managed instance groups
- Cloud Run and GKE use cases
Practical exerciseApply compute options to the map a sample workload to google cloud services and capture the validation evidence.
04Storage and data
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- Cloud Storage and lifecycle policies
- Cloud SQL, BigQuery and data-service selection
Practical exerciseApply storage and data to the map a sample workload to google cloud services and capture the validation evidence.
05Networks and visibility
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- VPCs, firewall rules and load balancing
- Cloud Logging, Monitoring and billing controls
Practical exerciseApply networks and visibility to the map a sample workload to google cloud services and capture the validation evidence.
06Foundation project
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- Choose services for a sample application
- Explain identity, cost and resilience assumptions
Practical exerciseApply foundation project to the map a sample workload to google cloud services 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
Google Cloud organisation · Identity and access
Establish the Google Cloud Fundamentals scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Compute options · Storage and data
Apply the core Google Cloud Fundamentals 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 map a sample workload to google cloud services. - 04Learning milestone 4 In progress
Deliver the applied project
Complete map a sample workload to google cloud services, 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 ↗