Build a Cloud-Deployed API with Logs and CI
A small deployed API and reproducible release workflow. Tests gate deployment and cleanup removes billable lab resources.
Register your interest. Dates and delivery are confirmed before enrolment opens.
What you will be able to do.
Build understanding, put it into practice and finish with work you can explain.
- Tests gate deployment and cleanup removes billable lab resources.
Is this for you?
Intermediate learners who can demonstrate the entry competencies listed below. Preparation suggestions are optional.
Before you begin
Build a validated endpoint and test an invalid request Deploy or simulate a bounded service and explain rollback and teardown Create a branch, commit a change and recover an edit
How you will show your progress
Tests gate deployment and cleanup removes billable lab resources.
From first principles to applied work.
Explain → Demonstration → Guided practice → Review
Planned outline. Lessons, trainer and schedule are confirmed before this course opens.
0160 live minutesDefine environment and budget
5 min explanation · 5 min demonstration · 35 min practice · 15 min review
Scope a supplied API and one cloud sandbox
02120 live minutesContainerise or package the service
10 min explanation · 15 min demonstration · 70 min practice · 25 min review
Prepare environment and container configuration
03180 live minutesAdd CI checks and secrets
15 min explanation · 25 min demonstration · 105 min practice · 35 min review
Build a tested deployment pipeline
04120 live minutesDeploy into an approved sandbox
10 min explanation · 15 min demonstration · 70 min practice · 25 min review
Add logs budget controls and a rollback target
05120 live minutesTest health logs rollback and cleanup
10 min explanation · 15 min demonstration · 70 min practice · 25 min review
Simulate failed release and dependency restart
06120 live minutesWrite an operations runbook
10 min explanation · 15 min demonstration · 70 min practice · 25 min review
Deliver runbook teardown steps and cost assumptions
How you will practise and be assessed.
The planned assessment checks your result, your judgement and your ability to apply what you learned independently.
- 01
Build the promised result
Demonstrate the promised artifact
WHAT YOUR WORK SHOULD SHOWTests gate deployment and cleanup removes billable lab resources.
- 02
Test a limit or failure
Simulate failed release and dependency restart
WHAT YOUR WORK SHOULD SHOWThe documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.
- 03
Apply it independently
Independently explain and change one assumption in a small deployed api and reproducible release workflow.
WHAT YOUR WORK SHOULD SHOWThe learner predicts and verifies the change; AI output is not accepted without understanding.
Where this course stands.
Lab assets and supported tool versions are confirmed before teaching
Explore the source reference- Course ID
- B018
- Content
- Course outline in review
- Trainer
- Instructor to be confirmed
- Enrolment
- Not open · requests welcome
- Publication
- Planned
- Catalogue date
- 2026-10-15
Want to learn this?
Share your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.
- Your course is already selected
- Just your name and email to get started
- No payment or booking commitment
Know what your batch includes.
Learning support, assessment requirements and any certificate terms are confirmed with the batch before enrolment. Include your goals in your course request so the proposed format can be matched to what you need.
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