AI for Library Liaisons (Library Resources)

Offered through Khan Academy, this free course provides background on how generative AI works, and shares some best practices for teaching and learning with generative AI.

Rutgers University offers a series of courses through LinkedIn Learning on AI topics for various interests and skill levels.

Offered by the University of Michigan, this free self-paced course contains five comprehensive modules and self-guided assessments to teach you about Key Terms and Natural Language Processing, Prompting for Educational Purposes, Diverse and Inclusive Prompt Development, Best Practices, and Prompt Examples.

Developed by Vanderbilt University, this sequence of three courses starts with fundamental knowledge and moves to advanced skills for prompt engineering - the art of crafting instructions for large language models.
The course is free to audit, but a fee is required to receive a certificate of completion.

Available through Auburn University, this self-paced, asynchronous online course has an estimated total duration of approximately 10-15 hours. The 8 modules weave expertise from a diverse range of faculty in order to provide a meaningful learning experience to a diverse range of learners.
The course fee is $89 for 365-day access.

Created by the Wharton School, this series of 5 videos provides an overview of AI large language models for educators and students. They take a practical approach and explore how the models work and how to work effectively with each model.

ACRL's Instruction Section's Tips and Trends newsletter provides an overview of AI in ILI and provides links to numerous theoretical and practitioner resources.

In this article published in The Journal of Academic Librarianship authors Kautonen and Gasparini "present a holistic process model called the B-Wheel that addresses the phenomenon's complexity with approaches adopted from design thinking ideologies. We propose design approaches as an alternative strategy for academic libraries that want to avoid partial optimisation of AI skills and to ensure more generative competency building in their organisation."