EdTech Platform Advisory

Learning Platform Architecture
That Scales With Learners

Advisory for edtech companies building LMS platforms, video delivery pipelines, live class infrastructure, assessment engines, and AI-powered personalised learning experiences.

30-min free session Bengaluru / Remote EdTech & Learning Platforms India & Global
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20+Years Platform Engineering
K12–HEAcross Education Segments
AIPersonalised Learning
Live+AsyncClass Infrastructure
ScalePeak Concurrent Learners
Where EdTech Platforms Break

The Real Problems
That Block Growth

EdTech platforms hit infrastructure and architecture walls at predictable growth stages. These are the ones that come up in almost every conversation.

Video Delivery Breaks Under Load
Buffering and playback failures spike during live sessions and peak enrolment periods. Direct S3 streaming was fine at 100 learners, not at 10,000 concurrent.
LMS Fragmentation Across Teams
Content lives in Google Drive, sessions on Zoom, assessments in a Google Form, and progress tracked in a spreadsheet. No single learner view. No reliable completion data.
Live Class Infrastructure Unstable
Audio/video drops, recording failures, and attendance not captured reliably. Instructors managing technical problems mid-session instead of teaching.
Assessment Engine Has No Integrity
Multiple attempts without tracking, question paper leakage, no proctoring, and manual evaluation taking days. Learners gaming the system because it is easy to do so.
Learner Drop-Off Not Visible
No data on where learners disengage, which modules have low completion, or which assessments create high failure rates. Decisions based on anecdotes, not signals.
Certification Workflow Manual
Certificate issuance managed manually or via third-party tools disconnected from completion data. Learners waiting days for a certificate that should be instant on completion.
Payment & Entitlement Mismatches
Learners who have paid cannot access content. Expired subscriptions still have active access. Refunds processed but content access not revoked. Payment state not trusted.
B2B / Institutional Billing Not Supported
Corporate clients and schools require invoice-based billing, bulk seat management, and usage reports. The platform only supports individual consumer checkout flows.
SCORM / xAPI Content Doesn't Track
Imported SCORM packages play but completion and score data never writes back to the LMS. xAPI statements going nowhere. Compliance training with no audit trail.
Mobile Experience Second-Class
Offline access not available. Video quality not adaptive to bandwidth. App crashes on lower-end Android devices. Learning designed for desktop served broken on mobile.
How I Can Help

EdTech Advisory &
Platform Services

Advisory across the full edtech platform stack - from video infrastructure and LMS architecture to AI personalisation and institutional billing systems.

LMS Platform Architecture
Designing learning management system architecture for scale - course structure, learner progress store, cohort management, content versioning, and multi-tenant support for institutional clients alongside individual learners.
Video Streaming Pipeline
Architecture for scalable video delivery - transcoding pipelines using AWS MediaConvert or Mux, HLS/DASH adaptive streaming, CDN edge delivery, DRM for content protection, and bandwidth-aware playback for mobile-first learners.
Live Class Infrastructure
Architecture for live teaching using 100ms, Agora, or Zoom SDK - session management, recording pipelines, attendance capture, interactive features (polls, Q&A, whiteboards), and post-session recording processing and delivery.
Assessment & Testing Engine
Question bank design, adaptive testing architecture, attempt session management, proctoring integration, automated evaluation, and certificate issuance on completion. Supporting MCQ, subjective, and coding assessments.
Learning Analytics Platform
Learner progress tracking, engagement analytics, module-level drop-off signals, assessment performance patterns, and instructor-facing dashboards. Turning passive event data into actionable insights for product and content teams.
Course Marketplace Architecture
Multi-instructor marketplace design - content upload and review workflows, instructor analytics and revenue dashboards, revenue share and payout engine, course discovery and search, and promotional pricing management.
Payment, Subscription & Entitlement
Payment architecture for edtech: one-time, subscription, EMI, institutional billing, and trial management. Entitlement service ensuring content access is always consistent with payment state - not just verified at checkout.
B2B & Institutional Platform
Multi-tenant architecture for schools, colleges, and corporate clients - branded portals, admin dashboards, bulk user provisioning, SSO integration, SCORM/xAPI compliance, and usage and completion reporting for compliance.
Domain Coverage

Platforms & Technologies
I Work With

LMS Platforms
Moodle Canvas LMS Teachable Thinkific Custom LMS Blackboard
Video & Streaming
AWS MediaConvert Mux Video Cloudflare Stream HLS/DASH DRM (Widevine/FairPlay) FFmpeg
Live Class & RTC
100ms Agora Zoom SDK Twilio Daily.co Jitsi
Content Standards
SCORM 1.2 / 2004 xAPI (Tin Can) LTI Integration IMS Global QTI Assessments
Payment & Billing
Razorpay Subscriptions Stripe PayU Cashfree EMI Integration GST Compliance
Analytics & AI
Learning Analytics Recommendation Engines NLP for Assessment Adaptive Learning Claude / OpenAI Vector Search
Platform Architecture

Core Platform Components &
How They Fit Together

A well-designed edtech platform is a set of loosely coupled systems - each owning a clear domain - connected through a shared learner context. These are the six core layers and how they interact.

Course & Content Management
Course BuilderContent VersioningSCORM/xAPICurriculum Graph
The content layer manages course structure, module sequencing, and content asset storage. Content versioning allows curriculum updates without breaking learner progress mid-course. SCORM/xAPI compliance enables importing third-party content with completion tracking. Curriculum graphs support prerequisite and adaptive path logic.
Video Delivery Pipeline
TranscodingHLS AdaptiveCDN EdgeDRM
Upload → transcode to multiple bitrates (360p/720p/1080p) → package as HLS → serve via CDN with signed URLs. Adaptive bitrate means mobile learners on 2G/3G get smooth playback at lower quality. DRM (Widevine for Android/Chrome, FairPlay for iOS/Safari) prevents unauthorised download and sharing of paid content.
Learner Progress & Entitlement
Progress StoreCompletion EventsAccess ControlCertificates
The central learner context - completion state per module, time-on-content, assessment scores, and badge/certificate eligibility. Entitlement layer enforces content access based on active subscription or purchase state. Certificate issuance triggered automatically on meeting completion criteria, not as a manual process.
Live Class & Session Management
RTC LayerSession SchedulingRecordingAttendance
Session scheduler creates class links, sends reminders, and manages capacity. RTC layer (100ms/Agora) handles real-time audio/video. Recording pipeline captures sessions, transcodes post-call, and makes recordings available in the LMS. Attendance events written back to learner progress store automatically.
Assessment & Evaluation Engine
Question BankAttempt SessionsAuto-EvaluateProctoring
Question bank with tagging by topic, difficulty, and cognitive level. Randomised question selection per attempt to prevent paper leakage. Attempt session management with timer enforcement and auto-submit. Automated evaluation for MCQ and coding. Proctoring hooks for high-stakes exams. Score and pass/fail events written to learner progress store.
Analytics & Learning Intelligence
Engagement EventsDrop-off AnalysisCohort ReportsAI Insights
Event stream from every learner interaction - content views, video seek points, pause patterns, assessment attempts, and discussion activity. Aggregated into instructor and ops dashboards. Cohort-level analysis for product teams. AI layer surfaces at-risk learners, predicts drop-off, and recommends intervention triggers.
Platform Flow

How a Learner Journey
Flows Through the Platform

Every edtech platform needs a clean end-to-end flow from enrolment through completion. These are the six architectural stages and what happens at each.

01
Enrolment & Entitlement
Payment confirmation triggers an entitlement event. The access control layer grants the learner access to the purchased course or subscription tier. Cohort assignment if applicable. Welcome sequence initiated. No manual access management required.
02
Content Delivery
Learner requests content. Entitlement check at the edge. Signed URLs generated for video assets - not permanent public links. HLS adaptive stream adjusts bitrate to network conditions. SCORM completion signals written back to progress store in real time.
03
Live Class Session
Scheduled session link activated on time. RTC session created via 100ms or Agora API. Recording started automatically. Attendance captured as join/leave events. Interactive features (polls, Q&A) log engagement data. Post-session recording processed and linked to course module within minutes.
04
Assessment & Evaluation
Learner enters assessment attempt. Randomised question set drawn from bank. Timer enforced server-side. Answers submitted, MCQ auto-evaluated instantly. Subjective flagged for review queue. Score event written to progress store. Proctoring alerts flagged for review if active.
05
Completion & Certification
Progress store evaluates completion criteria - content coverage, assessment pass, live session attendance. On criteria met, certificate issuance triggered automatically. Certificate generated with unique ID, learner name, course, and date. Shareable link created. Completion event fires into analytics and CRM for engagement follow-up.
06
Analytics & Personalisation
Engagement events from all prior stages aggregated into learner and cohort views. AI model identifies learners at risk of dropping off based on activity patterns. Recommendation engine surfaces next content or course. Instructor dashboards show module-level completion rates and common failure points in assessments.
AI Innovation & Implementation

AI That Actually Improves
Learning Outcomes

The EdTech AI applications that deliver real results are grounded in learner behaviour data - completion patterns, assessment performance, engagement signals, and content interaction. These are the implementations worth building seriously.

Personalised Learning Path Engine
Adaptive curriculum that adjusts module sequencing based on learner performance, time-on-content, and prior knowledge signals. Collaborative filtering recommends next content based on what learners with similar profiles found most effective. Moving from one-sequence-fits-all to genuinely adaptive paths that improve completion rates.
AI Tutor & Doubt Resolution
Conversational AI tutor grounded in course content - answering concept questions, explaining worked examples, and guiding learners through problem-solving without requiring live instructor time. LLM with RAG over course materials ensures answers stay within curriculum scope rather than going off-topic.
Drop-Off Prediction & Intervention
ML model scoring each active learner's risk of dropping off based on activity patterns - days since last login, module completion velocity, assessment performance, and live session attendance. At-risk learners surface automatically for instructor or ops team outreach before they go silent rather than after.
AI Assessment Generation
Generating question variants from course content using LLMs - creating MCQs, fill-in-the-blanks, and short-answer questions from lesson text. Expanding question banks without instructor effort. AI-evaluated short answers using rubric-grounded scoring, reducing manual evaluation load for text-based assessments.
Content Recommendations & Discovery
Recommendation engine surfacing relevant courses, supplementary materials, and learning resources based on learner profile, career goals, and completion history. Semantic search over course catalog enabling natural language discovery. Improving course discovery conversion and cross-sell into adjacent learning programs.
Content Enrichment & Automation
Auto-generating transcripts, summaries, and searchable chapter markers from video content. Extracting key concepts and glossary terms from course material. Translating content for multilingual learners. Reducing the manual content production overhead that limits course publishing velocity at scale.
Who This Is For

The EdTech Businesses
That Reach Out to Me

EdTech Startups Scaling Fast
You have product-market fit and growing learner numbers. The architecture that got you here is starting to show cracks - video reliability, assessment integrity, and payment entitlement issues under load.
K12 & Higher Education Platforms
Building or modernising digital learning infrastructure for schools and colleges. Need institutional multi-tenancy, SSO, SCORM compliance, and usage reporting - alongside the learner experience.
Corporate L&D & Upskilling Platforms
Enterprise learning platforms for workforce upskilling, compliance training, and certification management. Need bulk user provisioning, SSO, xAPI audit trails, and manager-level reporting alongside the learning experience.
Test Prep & Certification Platforms
High-stakes assessment platforms for competitive exams, professional certifications, and skill-based credentials. Assessment integrity, proctoring, and reliable performance under peak exam-day load are the critical requirements.
Course Marketplace Builders
Building instructor marketplaces where educators publish and monetise their own courses. Need content upload pipelines, instructor dashboards, revenue sharing, payout automation, and fraud controls alongside the learner-facing experience.
Mobile-First Learning Platforms
Building for learners on smartphones in Tier 2/3 cities with variable bandwidth. Offline-first content access, low-bandwidth video delivery, and lightweight app architecture that works reliably on mid-range Android devices.
Why This Matters

Platform Depth Across
EdTech Architecture

EdTech is one of the most complex platform segments to get right. You are building real-time infrastructure (live classes), large-scale media delivery (video), transaction systems (payments and entitlement), and analytics all in one product - for learners across device types, bandwidths, and institutional contexts.

The decisions made early in a learning platform - how progress is stored, how entitlement is enforced, how video is served - create either a compounding technical foundation or a set of compounding liabilities. Getting the architecture right early saves the cost of rebuilding it at scale.

20+
Years platform engineering
K12–HE
Across education segments
Live+Async
Hybrid class infrastructure
AI
Personalised learning engines
FAQ

Common Questions

What kind of edtech platforms have you worked with?
K12 learning platforms, higher education LMS implementations, corporate upskilling and L&D platforms, test preparation systems, live tutoring platforms, and edtech SaaS products. Both India-focused platforms and those building for international learners.
Our video delivery breaks under concurrent learner load. Where do we start?
The first question is whether you are serving video directly from storage or through a proper CDN and adaptive bitrate pipeline. If you are streaming raw files from S3, you will hit this problem at every growth milestone. The fix is a proper HLS/DASH transcoding pipeline with CDN edge delivery - not more server capacity.
We need to support live classes, recorded content, and assessments. How do we architect that?
These are three distinct sub-systems that share a learner context layer. Live class infrastructure needs low-latency RTC (100ms, Agora, Zoom SDK). Recorded content needs an async video pipeline with HLS. Assessments need their own question bank, attempt session, and evaluation engine. Tying them together through a learner progress store is the integration point that matters most.
How do we build personalised learning paths with AI?
Start with the data you already have: completion rates, time-on-content, assessment scores, and re-attempt patterns. A simple collaborative filtering model on this data already outperforms static curriculum sequences. Generative AI is useful for adaptive question generation and explanations - but the personalisation engine underneath should be grounded in learning outcomes data, not just content similarity.
What is the right subscription and payment architecture for edtech?
Edtech payment complexity comes from mixed models: one-time course purchases, monthly/annual subscriptions, EMI for high-ticket programs, and institutional billing for B2B. Razorpay Subscriptions or Stripe handles the recurring layer. The platform needs to enforce content access based on active subscription state - not just payment confirmation - which requires a separate entitlement service that payment events write to.
We want to build a marketplace where instructors publish courses. What does that require?
Instructor marketplace requires: content upload and transcoding pipeline, course builder with publishing workflow, revenue sharing and payout engine, instructor analytics dashboard, and content moderation hooks. The hardest part is usually the revenue split and payout reconciliation, especially when combined with refund policies and promotional discounts.
What is the best way to start?
Book a 30-minute session. Bring one specific challenge - video delivery, assessment engine design, LMS selection, AI personalisation, or scaling architecture. The more concrete the problem, the more useful the conversation.

Ready to Build a Learning Platform
That Actually Scales?

Free 30-minute strategy session. Bring your specific platform challenge and we will work through it together.

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