Build the product first
Learn how to work with AI and build screen structure, interaction states, forms, and mini-program foundations.
Deliverable: working booking interfaceA hands-on AI product course for beginners
All 27 chapters build the same service-booking mini program. Start with screens and forms, then add APIs, a database, authentication, permissions, payments, files, servers, and monitoring. Every chapter ends with a concrete task, product deliverable, and acceptance checklist.
You do not memorize programming before you begin. Each concept appears inside the product task that needs it. AI speeds up implementation, while you remain responsible for requirements, boundaries, and acceptance—and gradually build sound engineering judgment.
The course project is a service-booking mini program. A customer chooses a service and time and submits a booking; the backend validates availability and saves the data; an administrator accepts, reschedules, completes, or cancels it.
The interface is only the outer layer. The course continues through API contracts, data tables, user identity, business states, and error paths so a booking truly moves from the customer side to the admin side.
The first six chapters build working screens and a mini program. Next come APIs, the database, and login, followed by permissions, concurrency, payments, and files. The final stages cover domains, servers, monitoring, release, and iteration.
Learn how to work with AI and build screen structure, interaction states, forms, and mini-program foundations.
Deliverable: working booking interfaceAPIs, backend, database, login, and one end-to-end acceptance pass.
Deliverable: persistent booking flowRoles, permissions, security, concurrency, payments, refunds, and file uploads.
Deliverable: transaction-ready business systemAnalytics, domains, servers, deployment, monitoring, releases, and iteration.
Deliverable: accessible production productPreserve decisions with Git, project documentation, and context management so future work can continue safely.
Deliverable: maintainable project assetsIn chapter 7, the task is not merely to understand an API definition. You replace local mock services with a real endpoint and verify loading, empty, error, and retry states.
The course repeatedly trains one collaboration loop: explain the current product state, goal, allowed scope, and acceptance criteria; let AI understand the code before implementation; then refine the result from actual runtime evidence.
You learn to verify the user journey, business rules, and data boundaries. When something fails, inspect logs and actual state, then give AI better evidence instead of trying random prompt variations.
Across 27 chapters, requirements, screens, backend, data, security, payments, and launch become one practical product journey.