AI PLATFORM FOR EDUCATION
AI platform for education
A retrieval-augmented AI platform for higher education: instructors configure grounded tutors aligned with curriculum content inside the existing LMS. Azure Container Apps hosts the workloads; Azure OpenAI Service handles inference and Azure AI Search backs retrieval so responses trace back to approved sources.
Engineering emphasis was on tenant isolation, measurable latency under classroom load, audit-friendly logging, and blue/green-style rollout discipline so teaching periods were not blocked by platform churn.
Steerable AI agents
Teachers control how the agents talk to students using plain instructions. A Socratic tutor that withholds answers, a strict marker, a lab assistant: agents follow the pedagogical rules educators set.
Grounded learning
Teachers and students upload course materials and websites as context for the agents. Content is indexed through Azure AI Search so responses stay aligned with the curriculum.
Equitable access
Every student gets the same access through institutional accounts, regardless of personal resources.
LMS integration
Students interact with the agents inside the LMS, with no separate login or context switch. Engagement is tracked alongside the rest of the course.
Educational insights
Educators see how students use the agents, which informs teaching and surfaces learning gaps.
01The challenge
The customer needed a platform that lets instructors author generative AI tutors tailored to their courses, with insight into how students engage with them. Generic AI tools lacked the authoring controls, course-specific customisation, and engagement analytics that an institutional rollout requires.
02Our implementation
We deploy and configure the platform: integrate with the existing LMS, set up custom agents aligned with course objectives, and help educators put it to use.
The platform runs on Azure Container Apps, behind secure endpoints that protect student data. Inference uses OpenAI language models through Azure OpenAI Service. Azure AI Search provides retrieval over uploaded course resources.
03Impact and results
The platform is in active use across multiple educational institutions and has been recognised as an emerging practice for AI in education.
Educators provide personalised AI tutoring at scale while keeping pedagogical control and equitable access. Teachers report higher student engagement; students gain access to tutoring support outside class hours.
Key capabilities
Steerable AI agents
Teachers control agent behaviour with plain-language instructions, so the agents follow the pedagogical guidelines for the course.
Context-rich learning
Teachers and students upload course materials. Agents ground their answers in that content using Azure AI Search.
Educational insights
Educators see how students use the agents, tracking engagement and progress to inform teaching and surface learning gaps.
Technologies and frameworks
Cloud-native architecture: OpenAI language models through Azure OpenAI Service, Azure AI Search for document retrieval, and Azure Container Apps for the runtime. Designed for the security and reliability that educational institutions require.