Cloud AI Modernisation for Education
Scale educational AI from classroom pilots to institution-wide platforms. FERPA-compliant cloud infrastructure for adaptive learning, student success, and administrative AI.
Education & EdTech Challenges
Student data privacy (FERPA)
Equity and bias concerns
Integration with LMS platforms
Faculty adoption
Budget constraints
How Cloud AI Modernisation Solves Education & EdTech Challenges
Refactoring AWS, Azure, GCP, and Oracle workloads into production-grade AI stacks. Multi-cloud RAG pipelines, observability, guardrails, and MLOps that slot into existing engineering rhythms.
Multi-Cloud RAG Pipelines
Production-ready retrieval augmented generation across AWS, Azure, GCP, and Oracle with unified governance.
MLOps Integration
CI/CD pipelines, model versioning, A/B testing, and automated deployment workflows integrated with existing DevOps.
Observability Stack
Real-time monitoring, alerting, cost tracking, and performance dashboards for AI workloads.
Production Guardrails
Content filtering, toxicity detection, PII redaction, and rate limiting to keep AI safe in production.
Use Cases
- ✓Production adaptive learning platform deployment
- ✓Cloud-native student success prediction systems
- ✓Multi-campus AI infrastructure consolidation
- ✓MLOps for educational content recommendation
- ✓FERPA-compliant research AI pipelines
Key Benefits
FERPA-compliant cloud AI infrastructure
Scale personalized learning to all students
Cost-effective compute for educational workloads
Unified AI governance across campuses
Faster deployment of new learning models
Technology Stack
Ready to Deploy Cloud AI Modernisation for Education & EdTech?
Let's discuss how our cloud ai modernisation capabilities can address your education & edtech challenges.
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