Cloud Security - AWS & GCP is a structured, practical course covering AWS, GCP, IAM, Zero Trust. It emphasizes explainable methods, checked work and a final outcome that can be reviewed.
CybersecurityTool stack
Google Cloud
Technology marks for Cloud Security - AWS & GCP, sourced from the CC0-licensed Simple Icons project.
Use AWS appropriately in a realistic, bounded task.
Use GCP appropriately in a realistic, bounded task.
Use IAM appropriately in a realistic, bounded task.
Use Zero Trust appropriately in a realistic, bounded task.
Course outline and revision prompts
Module 1
AWS: Security foundations
Apply AWS through assets, threats, risk.
Lesson
Key terms
Revision question
Assets with AWS
assets, AWS, security
In Cloud Security - AWS & GCP, which evidence best supports a assets result produced with AWS?
Threats with GCP
threats, GCP, security
In Cloud Security - AWS & GCP, which evidence best supports a threats result produced with GCP?
Risk with IAM
risk, IAM, security
In Cloud Security - AWS & GCP, which evidence best supports a risk result produced with IAM?
Instructional figureProcess flow
Assets: from context to evidence
Assets connects asset and trust boundary to a verified control in Cloud Security - AWS & GCP.
1Asset and trust boundary
Define the purpose, intended user and AWS constraints.
frames
2Assets
Record owner, sensitivity and operational dependency.
produces evidence for
3Verified control
Compare the observed result with a normal case, boundary case and stated limitation.
Takeaway: Assets is credible only when the result can be traced back to its purpose, inputs and constraints. Assets is the decision layer between the starting context and evidence that the result is fit for purpose.
Module 2
GCP: Defensive controls
Apply GCP through identity, network protection, hardening.
Lesson
Key terms
Revision question
Identity with Zero Trust
identity, Zero Trust, security
In Cloud Security - AWS & GCP, which evidence best supports a identity result produced with Zero Trust?
Network protection with AWS
network protection, AWS, security
In Cloud Security - AWS & GCP, which evidence best supports a network protection result produced with AWS?
Hardening with GCP
hardening, GCP, security
In Cloud Security - AWS & GCP, which evidence best supports a hardening result produced with GCP?
Instructional figureNested structure
Identity: from context to evidence
Identity connects asset and trust boundary to a verified control in Cloud Security - AWS & GCP.
1Asset and trust boundary
Define the purpose, intended user and Zero Trust constraints.
frames
2Identity
Separate authentication from authorization and review privilege.
produces evidence for
3Verified control
Compare the observed result with a normal case, boundary case and stated limitation.
Takeaway: Identity is credible only when the result can be traced back to its purpose, inputs and constraints. Identity is the decision layer between the starting context and evidence that the result is fit for purpose.
Module 3
IAM: Assessment
Apply IAM through safe testing, evidence, remediation.
Lesson
Key terms
Revision question
Safe testing with IAM
safe testing, IAM, security
In Cloud Security - AWS & GCP, which evidence best supports a safe testing result produced with IAM?
Evidence with Zero Trust
evidence, Zero Trust, security
In Cloud Security - AWS & GCP, which evidence best supports a evidence result produced with Zero Trust?
Remediation with AWS
remediation, AWS, security
In Cloud Security - AWS & GCP, which evidence best supports a remediation result produced with AWS?
Instructional figureProcess flow
Safe Testing: from context to evidence
Safe Testing connects asset and trust boundary to a verified control in Cloud Security - AWS & GCP.
1Asset and trust boundary
Define the purpose, intended user and IAM constraints.
frames
2Safe Testing
Write rules of engagement before test traffic.
produces evidence for
3Verified control
Compare the observed result with a normal case, boundary case and stated limitation.
Takeaway: Safe Testing is credible only when the result can be traced back to its purpose, inputs and constraints. Safe Testing is the decision layer between the starting context and evidence that the result is fit for purpose.
Module 4
Zero Trust: Operations
Apply Zero Trust through monitoring, response, recovery.
Lesson
Key terms
Revision question
Monitoring with GCP
monitoring, GCP, security
In Cloud Security - AWS & GCP, which evidence best supports a monitoring result produced with GCP?
Response with IAM
response, IAM, security
In Cloud Security - AWS & GCP, which evidence best supports a response result produced with IAM?
Recovery with Zero Trust
recovery, Zero Trust, security
In Cloud Security - AWS & GCP, which evidence best supports a recovery result produced with Zero Trust?
Instructional figureContinuous cycle
Monitoring: from context to evidence
Monitoring connects asset and trust boundary to a verified control in Cloud Security - AWS & GCP.
1Asset and trust boundary
Define the purpose, intended user and GCP constraints.
frames
2Monitoring
Define detection, enrichment and ownership before alerting.
produces evidence for
3Verified control
Compare the observed result with a normal case, boundary case and stated limitation.
Review the evidence, adjust the method, and repeat.
Takeaway: Monitoring is credible only when the result can be traced back to its purpose, inputs and constraints. Monitoring is the decision layer between the starting context and evidence that the result is fit for purpose.
Course practical outcome
Produce a reviewable Cloud Security - AWS & GCP project using AWS, GCP, IAM.
Expected output: A working Cloud Security - AWS & GCP artefact plus an evidence-based self-review.
Tools: A suitable AWS environment, A plain-text decision log, Test data or realistic sample material
Production steps
Define the intended user, outcome and constraints.
Create the smallest complete result using AWS.
Test one normal case, one boundary case and one failure response.
Revise the work from the evidence and preserve before-and-after results.
Prepare a concise handover containing method, limitations and next step.
Success criteria
The output matches the stated outcome.
Inputs and decisions are reproducible.
Boundary and failure evidence is included.
Limitations and responsibility considerations are explicit.
Self-review
Can another learner repeat the method?
Did I test a difficult case?
Did I avoid unsupported claims?
Is the next action proportionate to the remaining risk?
Safety note: Use security techniques only on systems you own or are explicitly authorised to test.
Next step: Choose one weakness found during review and improve it before extending the AWS scope.
Glossary
AWS
A core concept or tool used in Cloud Security - AWS & GCP; its exact meaning is established in the relevant lesson.
GCP
A core concept or tool used in Cloud Security - AWS & GCP; its exact meaning is established in the relevant lesson.
IAM
A core concept or tool used in Cloud Security - AWS & GCP; its exact meaning is established in the relevant lesson.
Zero Trust
A core concept or tool used in Cloud Security - AWS & GCP; its exact meaning is established in the relevant lesson.
This guide is generated from DigiLearn course material. Product versions, regulations and professional standards can change; consult the linked authoritative source before applying version-sensitive guidance.