A Storage Method of Online Educational Resources for College Courses Based on Artificial Intelligence Technology

In the Internet era, the scale of online education resources small files of college courses in online learning is becoming larger and larger, and the workload is large. The traditional storage method meets the storage requirements of massive education resource small files, and designs a storage method of online education resource of college courses based on artificial intelligence technology. Through artificial intelligence technology to recognize the characters and voice in online education resources of college courses, complete the recognition of online education resources of college courses in the platform. Gzip compression algorithm is used to compress recognition results. Design the distributed cloud storage architecture of online education resources to realize the distributed storage of compressed data resources. The test results showed that this method took less memory and took less time to read small files randomly, and has high reliability.