Findability, Semantic Modeling, and Comp

The fusion of traditional information science principles with advanced AI technologies is revolutionizing knowledge management. This course explores how artificial intelligence, particularly Large Language Models (LLMs), is transforming information organization, retrieval, and utilization in digital environments.

Students explore the world of AI-enhanced findability, learning to architect intelligent knowledge platforms that maximize the value of structured and unstructured data. The course covers:

• Large Language Models (LLMs) and their game-changing applications in information retrieval

• Vector databases and cognitive search capabilities

• Advanced Natural Language Processing (NLP) and semantic technologies

• Knowledge graphs and how they are being used to add meaning to LLMs

• Machine learning for sophisticated classification and categorization

• Ethical considerations in AI-powered information systems

Through hands-on projects culminating in the design of real-world applications, students will gain practical experience in architecting AI-enhanced information systems. You'll learn to make informed decisions about integrating AI technologies into information architecture, balancing traditional methods with cutting-edge solutions.

This course is ideal for future knowledge strategists, information architects, and AI enthusiasts who want to lead the next generation of intelligent information systems. Join us to explore the intersection of AI and information science and prepare to shape the future of knowledge work.

No programming experience is required—just your curiosity and readiness to engage with the forefront of information technology.