Free Vibe Coding & AI App Development Course with Certificate
Free vibe coding course teaching AI app development end to end: requirements, prompting, UI, databases and auth concepts, APIs, debugging, testing, versioning, deployment, security and SEO. Flash cards, checkpoint quizzes and a verifiable certificate.
AI assistants shift most of the cost of software from typing code to deciding what should exist. The bottleneck moves to clear thinking: scope, data shape, edge cases and review. You remain accountable for correctness, security and licensing of everything the assistant produces. Treat generated code as a fast junior developer's first draft, not as a finished product.
AI writes the code; you own the decisions and the review.
Write one paragraph describing an app you want, then list the decisions only you can make.
Every expert you admire learned it exactly this way — one scene at a time.
What you will be able to do
- Turn a vague idea into a scoped, buildable requirement set
- Write build prompts that produce working, reviewable software
- Design usable screens and navigation before generating code
- Understand data models, relationships and authentication concepts
- Connect and secure third-party APIs and keys
- Debug AI-generated code by reading errors instead of guessing
- Test the paths that actually break and catch regressions
- Use versioning concepts to move fast without losing work
- Deploy, monitor and iterate on a live application
- Apply security, privacy and SEO basics before launch
Course structure
Foundation — Scope, screens and your first working build
From idea to a running app: scoping, user stories, screen design, build prompts, reading generated code and shipping something real.
Advanced — Data, auth, APIs, debugging and testing
The parts that decide whether an app survives real users: data models, authentication, permissions, integrations, error handling and tests.
Mastery — Deploy, secure, optimise and build a portfolio
Take an app from working to trustworthy: deployment, monitoring, performance, security, privacy, cost, SEO and shipping a portfolio others can inspect.
Full syllabus — every topic covered
30 topic cards across three levels. Each card teaches one idea, ends with a takeaway, and is followed by a checkpoint quiz every five cards.
Level 1: Foundation — Scope, screens and your first working build
From idea to a running app: scoping, user stories, screen design, build prompts, reading generated code and shipping something real.
- 1. What vibe coding actually changes — AI writes the code; you own the decisions and the review.
- 2. Scope one job, not a platform — One user, one job, one definition of done.
- 3. User stories and acceptance criteria — Every feature needs checkable acceptance criteria before it is built.
- 4. Sketch the screens and the flow — Decide the screens and the flow before the first build prompt.
- 5. Writing a build prompt that works — One feature per prompt, with explicit behaviour and constraints.
- 6. Read the output before you accept it — Review what changed every time, even without reading every line.
- 7. Front end, back end and where things run — Never trust the browser; secrets and rules belong on the server.
- 8. Iterate in small, testable steps — Small steps with a working state between them.
- 9. When the assistant loops on an error — After two identical failures, change the approach — not the wording.
- 10. Ship version one deliberately — Ship the core path working, then learn from real use.
Level 2: Advanced — Data, auth, APIs, debugging and testing
The parts that decide whether an app survives real users: data models, authentication, permissions, integrations, error handling and tests.
- 1. Model your data before your screens — Entities and relationships first; screens follow the data.
- 2. Relationships, keys and avoiding duplicate truth — One fact, one place, referenced by id.
- 3. Authentication versus authorisation — Hiding a button is not security; the server must enforce permissions.
- 4. Row-level access rules in plain language — Default deny, scope by user id, verify with a second account.
- 5. Working with third-party APIs — Verify endpoints in official docs; plan for failure responses.
- 6. Secrets, environment variables and key hygiene — Server-side env vars, least privilege, rotate on exposure.
- 7. Debugging by reading, not guessing — Reproduce, read the error, change one thing, verify.
- 8. Error handling users can act on — Loading, empty, success and error states are part of every feature.
- 9. Testing what actually breaks — Test the money paths and add a test for every repeat bug.
- 10. Version control concepts without ceremony — Commit before risk; history is how you undo a bad generation.
Level 3: Mastery — Deploy, secure, optimise and build a portfolio
Take an app from working to trustworthy: deployment, monitoring, performance, security, privacy, cost, SEO and shipping a portfolio others can inspect.
- 1. Environments: development, staging, production — Separate data and keys per environment; production is not a sandbox.
- 2. Deployment and rollback — Know your rollback path before your first incident.
- 3. Monitoring, logs and knowing you broke something — If you are not monitoring it, your users are your error log.
- 4. Performance basics that users feel — Measure first; images and query patterns cause most slowness.
- 5. Common web vulnerabilities in plain terms — Validate on the server, enforce access there, and keep dependencies current.
- 6. Privacy, data collection and consent — Minimise what you collect; document and honour deletion.
- 7. Cost, quotas and avoiding surprise bills — Set spend alerts and quotas before your first public launch.
- 8. SEO and shareability for AI-built apps — Public pages need server-visible HTML, unique metadata and a canonical URL.
- 9. When to bring in real code knowledge — Recognise the moments where guessing becomes expensive and expertise pays.
- 10. Portfolio projects that get you hired — Deployed, explained, honest — three projects are enough.
Frequently asked questions
- What is vibe coding?
- It is building software by describing what you want in natural language and letting an AI assistant generate and modify the code, while you review, test and direct the result. You stay responsible for what ships.
- Do I need to know how to code?
- No. You can complete the course and ship an app without prior coding. The course does teach the concepts — data models, auth, APIs, errors — because understanding them is what separates a working app from a fragile one.
- When does real code knowledge become necessary?
- When you need to debug something the assistant keeps getting wrong, optimise performance, handle sensitive data, integrate an unusual API or take over long-term maintenance. The course flags each of those moments.
- Which platform does it teach?
- It is platform-neutral. The workflow — scope, prompt, review, test, deploy, secure — transfers to any AI coding assistant or app builder, and the course avoids claims about what any specific product can or cannot do.
- How long does it take?
- About 9 hours across three levels — Foundation, Advanced and Mastery — at your own pace.
- What does the certificate include?
- Your name, the course, total duration, score, issue date, a unique verification ID and a QR code linking to a public verification page — shareable to LinkedIn in one click.