AI-Powered Course Advisor on AWS by Integra Technologies

The AI-Powered Course Advisor is a Generative AI solution built on AWS, designed for universities and educational institutions to simplify academic advising and course registration. It leverages AWS services such as Amazon Bedrock for Generative AI capabilities, AWS Lambda for serverless processing, Amazon S3 for data storage, and Amazon RDS for structured academic data management. The solution provides students with instant, accurate guidance for course selection, eligibility checks, and graduation planning through natural language interactions, reducing dependency on manual advising and improving the overall student experience.

The platform evaluates each student request against institutional academic rules and real-time student data before recommending courses. It validates prerequisites and CGPA requirements, prioritizes mandatory retakes, checks timetable conflicts, and confirms course availability. This ensures recommendations remain aligned with academic policies while reducing registration errors and administrative workload. The solution is highly customizable to each university’s academic structure and integrates seamlessly with existing student information systems and portals. Deployment and implementation are delivered as a professional service by Integra Technologies, enabling customers to adopt, configure, and optimize the solution on AWS infrastructure.

This professional service directly supports AWS-native services and helps customers design, deploy, and operationalize AI-powered applications on AWS Cloud.

The AWS Services that are selected for this solution are as follows:

▪ Amazon Bedrock: This service provides the GenAI models that are used to power the agent, the Bedrock Knowledge base using Amazon OpenSearch for Retrieval Augmented Generation (RAG) and Bedrock Guardrails for safe responses. With wide range of GenAI models, appropriate ones were chosen for the use case.

▪ Amazon Elastic Container Service (ECS) – Fargate: This service provides the compute to run the GenAI agent using the Python FastAPI framework. By selecting Fargate which is serverless compute in conjunction with Application Load Balancer (ALB), high availability and scalability is ensured following AWS best practices.

▪ Amazon DynamoDB: This service provides the data storage for the solution to store the student information, course information and timetable data. DynamoDB is serverless and very fast offering key-value pair storage which allows for high performance.

▪ Amazon Cognito: This service provides user authentication for the solution. Amazon Cognito has SDKs which are integrated into the solution that authenticates users in the login page.

▪ AWS Web Application Firewall (WAF): This service acts as a firewall to block any malicious attacks such as SQL injection or cross-site scripting (XSS).

▪ Amazon S3: This service is used as a storage in AWS and in this case a data source for the Bedrock Knowledge Base.

▪ Amazon CloudWatch: This service is used for application logging; it is connected to ECS and provides observability to understand any bugs/errors.