Building an AI-driven course content generation system using Amazon Bedrock

The education sector needs efficient, high-quality course material development that can keep pace with rapidly evolving knowledge domains. Faculty invest days to create content and quizzes for topics to be taught in weeks. Increased faculty engagement in manual content creation creates a time deficit for innovation in teaching, inconsistent course material, and a poor experience for both faculty and students.

Generative AI–powered systems can significantly reduce the time and effort faculty spend on course material development while improving educational quality. Automating content creation tasks gives educators more time for interactive teaching and creative classroom strategies.

The solution in this post addresses this challenge by using large language models (LLMs), specifically Anthropic’s Claude 3.5 through Amazon Bedrock, for educational content creation. This AI-powered approach supports the automated generation of structured course outlines and detailed content, reducing development cycles from days to hours while ensuring materials remain current and ...