Cursor: AI-Assisted Development with Review Discipline
A reviewed bugfix or feature in a supplied repository. Tests catch an intentionally seeded defect and no unrelated files are changed.
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 catch an intentionally seeded defect and no unrelated files are changed.
Is this for you?
Intermediate learners who can demonstrate the entry competencies listed below. Preparation suggestions are optional.
Before you begin
Write a small function, branch on input and explain an error path Create a branch, commit a change and recover an edit
How you will show your progress
Tests catch an intentionally seeded defect and no unrelated files are changed.
From first principles to applied work.
Explain → Demonstration → Guided practice → Review
Planned outline. Lessons, trainer and schedule are confirmed before this course opens.
0190 live minutesSet up a bounded code task
10 min explanation · 15 min demonstration · 45 min practice · 20 min review
Choose one failing application behaviour in the supplied repo
02120 live minutesProvide project rules and context
15 min explanation · 20 min demonstration · 60 min practice · 25 min review
Write project rules and a focused context pack
03180 live minutesImplement and debug incrementally
25 min explanation · 35 min demonstration · 90 min practice · 30 min review
Make and debug a small editor-assisted change
0490 live minutesReview tests and handoff
10 min explanation · 15 min demonstration · 45 min practice · 20 min review
Submit a reviewed patch and prove the original regression stays fixed
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 catch an intentionally seeded defect and no unrelated files are changed.
- 02
Test a limit or failure
Submit a reviewed patch and prove the original regression stays fixed
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 reviewed bugfix or feature in a supplied repository.
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
- S004
- 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.
Verify AI-Generated Code Before You Trust It
Intermediate · 2 hours
From₹98· 2 hoursOpen micro-course
Turn a Feature Request into an AI Coding Brief
Intermediate · 2 hours
From₹98· 2 hoursOpen micro-course
Git Branches, Pull Requests and Safe Rollback
Beginner · 2 hours
From₹98· 2 hoursOpen micro-course