Course discovery works better when the commitment is visible before registration.
Pearlcity organizes practical technology courses into comparable paths, then gives each course a detailed view of duration, prerequisites, highlights, modules, and projects before a learner enters registration.
OwnershipFrontend product implementation across course information architecture, responsive discovery, detailed routes, and registration flow.
6Detailed course pathsDefined in the current source
MODULESCurriculum depthVisible before registration
PROJECTSPractical expectationCourse outcomes framed as work
RESPONSIVEDiscovery surfaceOne hierarchy across viewports
01
Information architecture
Make the learning commitment legible.
A course card can create interest, but it cannot carry the whole decision. Each course route expands the promise into duration, prerequisites, highlights, modules, and project expectations.
The registration flow preserves the selected course instead of forcing the learner to reconstruct context after choosing a path.
Course decision flow, simplified from source
01ExploreCompare practical course paths
02UnderstandReview duration, prerequisites, and highlights
03InspectOpen modules and project expectations
04RegisterCarry the selected course into the form
02
Product surface
A broad catalogue still needs one visual hierarchy.
Product evidence / discoveryThe full interface shows how course choices, programme detail, and registration prompts remain part of one responsive discovery sequence.
03
Outcome
What this archive proves.
Structured course data can support both comparison and detailed decision-making without duplicating page logic.
Prerequisites, modules, and projects make the cost of commitment clearer before registration.
A responsive information hierarchy can carry a content-heavy education product across screen sizes.
Claims on this page were limited to the current frontend source. No enrolment, completion, placement, or learner-outcome figures are inferred.
