Phase 1: Architecture & Requirements Scoping
- Define peak concurrent user traffic expectations (e.g. 10:00 AM exam spikes). See University LMS Burst Traffic Architecture.
- Confirm single sign-on (SSO) protocols (SAML 2.0, OAuth2, OpenID Connect).
- Audit course backup formats and historical grade records for migration.
Phase 2: System Integration & Security Setup
- Configure automated bi-directional synchronization with SIS / ERP.
- Setup LTI 1.3 endpoints for virtual labs, plagiarism checkers, and external tools.
- Verify DPDP data privacy boundaries and role-based access control (RBAC).
Phase 3: Course Migration & AI Layer Deployment
- Migrate core courses and validate quiz question banks.
- Deploy AI assistance services (course drafting, RAG student tutors). See What Is an AI LMS?.
- Perform load testing under simulated exam traffic.
Phase 4: Faculty Training & Change Management
- Conduct department-level workshops on rubric-based grading and AI tools.
- Establish helpdesk escalation channels and student onboarding guides.
Phase 5: Go-Live & Continuous Optimization
- Execute staged rollout by department or faculty branch.
- Monitor real-time server load, Redis session cache, and student engagement metrics.