What you could prepare
A one-page brief, a small prototype scope and a test checklist.
An illustrative starting point—not a learner testimonial
I have an app idea. What should I do before asking AI to build it?
You can describe a feature, but have not checked whether someone needs it or how it will work.
Practice: Customer discovery + system mapping + prototype testing
What you could try
- 01
Speak to potential users without leading them toward the answer you want.
- 02
Map users, data, rules and screens, then choose one small workflow.
- 03
Build with fictional data and test mistakes, permissions and unclear steps before considering deployment.
Before you begin
Bring a problem rather than a list of features. Deployment requires separate review of security, hosting, maintenance and ownership.
Thinking about enrolling?
You do not need to know your whole path yet.
Choose one situation you recognise, then try a small activity before deciding what to learn next. This is a suggested learning goal, not a promised enrollment outcome.
1. Bring a real question
Describe what you want to improve and what you have already tried. Use fictional or anonymised examples, not private client, student or workplace records.
2. Try the learning experience
Explore the demo. Start with AI foundations if the tools are new to you, then look for a relevant exercise, role-play or practice format. Check the activity on your device.
3. Register and choose a next step
Use the registration page to review the current intake and requirements. Plan time to attempt, check and improve your work. Confirm any coaching or access support you need.
Learner access is 100% free. External tools, data, devices or production services may have separate costs. Learning does not guarantee a job, customers, income or funding. For younger learners, check age eligibility and parent or guardian requirements.