Audience
- Entrepreneurs and business professionals exploring a new digital product.
- Analysts and project managers building small internal tools.
- Beginning developers who want a disciplined AI-assisted workflow.
AI & technology
Vibe Coding
Turn ideas into working prototypes with AI-assisted development and careful validation.
Learning with a practical purpose.
Move from an idea to a working software prototype through structured AI-assisted development. This module is designed for people who can describe a business problem but want a clearer method for turning that description into screens, data and useful behaviour. The emphasis is small, inspectable changes and evidence that the application works.
You will build a focused business tool, such as an enquiry tracker or action planner, while learning to read the code and configuration generated along the way. Sessions show how to write acceptance criteria, use version control, investigate errors and test the result. AI assistance supports the process; you remain responsible for understanding and validating what you create.
Live onlineTeaching through Kent Business College, UK
2 hoursOne live session each teaching week
14 sessionsA semester for each module
28 live hoursPer module, plus independent study
The outline below is a 14-session online module, with one two-hour live session each teaching week. Reading weeks, breaks and additional activities follow the agreed cohort calendar. The cohort syllabus, full route, dates, fees, independent study and assessment requirements are confirmed before enrolment.
Who this module is designed for.
Starting knowledge and preparation
- Comfort using a computer, browser and online collaboration tools.
- Willingness to read and edit small amounts of generated code.
- A modest application idea that can be completed as a learning prototype.
What you will work towards.
- Convert a business idea into a small, testable product brief.
- Guide an AI coding assistant with clear context and acceptance criteria.
- Build a prototype with understandable screens, data and user interactions.
- Use version control, debugging and practical tests to manage changes.
- Explain the difference between a successful demonstration and a supported production service.
Explore the 14-session learning plan.
Explore the focus and practical output of each teaching session. Open individual sessions below, or expand the complete plan.
Session 01 Choosing a small useful product
Define one user, one important problem and the smallest workflow that would provide genuine value.
Practical output: A one-page product brief.
Session 02 Requirements and acceptance criteria
Describe expected behaviour through concrete examples, including empty states, invalid inputs and common errors.
Practical output: A prioritised backlog with acceptance checks.
Session 03 How a web application fits together
Explore the relationship between interface, application logic, data storage and external services using a simple example.
Practical output: An application structure map.
Session 04 Prompting for a controlled first build
Provide the assistant with a clear brief and ask for a small implementation that can be inspected.
Practical output: A first working screen and build log.
Session 05 Reading and changing generated code
Trace an interaction through the code and make a deliberate change without replacing the whole application.
Practical output: An explained code change.
Session 06 Designing usable screens
Improve navigation, forms and feedback so that the intended user can complete the main task clearly.
Practical output: A revised interface and usability checklist.
Session 07 Data and persistence
Define the records the application needs and connect them to a simple, controlled storage mechanism.
Practical output: A data model and persistent workflow.
Session 08 Version control and recoverable changes
Use commits and a reviewable change history to compare versions and recover from an unsuccessful alteration.
Practical output: A repository with meaningful checkpoints.
Session 09 Debugging with evidence
Reproduce an error, inspect useful logs and ask the assistant for a targeted fix with an explanation.
Practical output: A bug report and verified repair.
Session 10 Testing the important user journeys
Check the main workflow, invalid inputs and empty states against the acceptance criteria written earlier.
Practical output: A practical test record.
Session 11 Permissions, secrets and external services
Identify information that must stay on the server and restrict actions to the intended users.
Practical output: An access model and configuration checklist.
Session 12 Feedback and focused iteration
Observe a peer using the prototype and prioritise changes that improve task completion and clarity.
Practical output: A usability finding and improvement backlog.
Session 13 Preparing a shareable prototype
Package the application, check configuration and document the steps required to run or review it.
Practical output: A shareable prototype and setup guide.
Session 14 Demonstration and next-stage plan
Present the user journey, explain key implementation choices and identify the work needed before operational use.
Practical output: A final demonstration and development roadmap.
Apply the learning
A focused business application
Build a small application that solves one defined workflow, such as recording enquiries or tracking project actions. Include a working form, saved records and clear feedback for the user. Your evidence should show how you inspected generated changes and verified that the application meets its acceptance criteria.
Your project evidence can include
- A product brief, backlog and interface sketches.
- A runnable application with version history.
- Test evidence, a setup guide and a next-stage plan.
Use anonymised, public or suitable synthetic material where workplace information is confidential. The issued assessment brief confirms the required evidence.
Assessment, feedback and certification.
- Practical checkpoints assess whether you can explain and control the generated implementation.
- The project is reviewed against its own agreed user journeys and acceptance criteria.
- A demonstration explores your debugging decisions and the evidence supporting the final result.
Teaching and the relevant course certificate are provided through Kent Business College in the UK. Completion requirements are set out in the module information; attendance alone should not be assumed to meet every assessment requirement.
Questions worth asking.
Can I join without being a programmer?
Yes, with basic digital confidence and a willingness to learn technical foundations. The module includes reading code and investigating errors.
Will AI build everything automatically?
You will guide and review the work. Requirements, testing, permissions and deployment decisions still need deliberate human judgement.
Can I use my own business idea?
Yes, provided it can be reduced to a manageable prototype and you can work without exposing confidential customer or company information.