Full-Stack Corporate LMS with Video Conferencing & Training Analytics
The Problem
An enterprise client needed to consolidate their employee training into a single platform — not just a place to host videos, but a system where instructors could run live sessions with screen sharing, build structured courses with quizzes and assessments, and managers could track who completed what and how they performed. Their existing setup was a patchwork: Zoom for live sessions, a shared drive for materials, spreadsheets for tracking attendance, and no clear picture of training effectiveness. None of these tools talked to each other, and scaling to new offices and remote teams was becoming unmanageable. They needed a production-ready MVP in four months — fast enough to onboard their next hiring cohort — with a web interface for desktop users and a mobile app for field workers who train on the go.
Why Building a Full-Featured LMS with Live Video in Four Months Is Hard
Combining course authoring, live video conferencing, and training analytics into a single platform under a tight timeline creates competing priorities at every level of the stack:
- Live video inside a learning context — screen sharing, instructor controls, and session recording must integrate with the course structure so sessions are automatically linked to the right module, cohort, and attendance record
- Course authoring flexibility — compliance modules need timed assessments, skills training needs interactive quizzes, and onboarding needs sequential content with prerequisites; the authoring tool must handle all of these without CMS-level complexity
- Multi-device parity — desktop users on Angular and mobile users on Flutter need feature-equivalent experiences; a quiz on the web must work identically on a phone, and a live session on a tablet must have the same controls as desktop
- Analytics that managers actually use — attendance, quiz scores, completion rates, and time-on-task must roll up into dashboards that answer "Is this training working, and who is falling behind?"
- Four-month MVP constraint — every architectural decision had to balance doing it right against shipping on time; over-engineering meant missing the deadline, under-engineering meant rebuilding within months
- Enterprise-grade reliability from day one — the first real use was onboarding a full hiring cohort, with no soft launch; the platform had to work at production quality the moment it went live
What We Did
Architecture & Core Backend
- Designed the platform around the Django backend — chosen for its built-in admin, ORM maturity, and the speed of building structured data models for courses, modules, users, and enrollments
- Set up PostgreSQL modeling the relationships between organizations, teams, courses, modules, assessments, enrollments, and completion records — designed for the analytics queries that would come later
- Implemented role-based access control (admin, instructor, manager, learner) with organization-scoped permissions, and a Django REST Framework API powering both web and mobile from a single backend
Course Authoring & Learning Experience
- Built the course authoring system — instructors create structured courses with ordered modules containing video lessons, text, attachments, and quizzes with configurable question types
- Developed the Angular web frontend (learner dashboard, catalog, module player, quiz interface, progress tracking) and the Flutter mobile app with offline-capable content and sync-on-reconnect
- Implemented prerequisite and sequential unlock logic — courses can require completion of prior modules before advancing, with configurable pass thresholds
Live Video & Session Management
- Integrated WebRTC-based video conferencing directly into the course structure — instructors launch live sessions from within a module and attendance is automatically tracked against the enrollment roster
- Built screen sharing for instructor-led presentations with participant controls (mute, hand-raise, chat), and session recording attached to the module as on-demand content
- Developed scheduling and notification workflows — upcoming sessions appear in the learner dashboard with calendar integration and reminders
Analytics, Reporting & Launch
- Built the training analytics dashboard for managers — completion rates by team, quiz score distributions, time-on-task, attendance records, and learner progress timelines
- Implemented unified attendance tracking (live participation plus on-demand completion) and exportable CSV/PDF reports for compliance and HR
- Load-tested under concurrent usage (multiple live sessions, learners on web and mobile) and deployed the production MVP on schedule for cohort onboarding
Key Results
In Their Words
We went from scattered tools and spreadsheets to a single platform where we can build courses, run live sessions, and actually see whether training is working — in four months. Trembit delivered exactly what we needed to onboard our next cohort on time.
Their proactive team gets things done as if it were their own project.
What We Learned
The four-month constraint was an asset, not a limitation
Tight timelines force decisions that infinite timelines defer. We scoped the authoring tool to the question types the client actually used, built analytics around the reports managers actually pulled, and shipped video conferencing with the controls instructors actually needed. Every feature had to earn its place by solving a real onboarding workflow, so the product launched focused and usable rather than sprawling and half-finished.
Django was the right call for an enterprise data model under time pressure
The relationship graph between organizations, teams, users, courses, modules, assessments, enrollments, and completions is inherently complex. Django's ORM and admin let us model and validate these relationships quickly and expose them via DRF without building CRUD infrastructure from scratch. For a four-month MVP with a complex data model, the framework paid for itself in the first two weeks.
Multi-device parity requires a single source of truth, not a single codebase
Angular and Flutter are fundamentally different frameworks, and sharing UI code would have been slower than building each natively. What we shared was the API contract — every endpoint, validation rule, and business logic decision lived in the Django backend. A quiz behaved identically on web and mobile not because the rendering code was shared, but because the scoring logic, time limits, and pass thresholds were enforced server-side.
Need a Corporate LMS?
Book a 30-minute architecture session — we'll discuss your training platform requirements and the infrastructure decisions that matter most. No pitch deck. Just engineering clarity.