Please note: This course is restricted to individuals in Region 4 (AZ, ID, CO, MT, NM, ND, SD, UT, WY).
In this course, you will get hands-on experience with generative AI models for education, with specific applications to health sciences. You will come away with a deeper understanding of the underlying technology, prompting techniques, multimodal features, and ethical issues such as bias, copyright, and privacy protection. You’ll develop methods for staying current and avoiding hype about AI. And finally, you’ll become familiar with the most hopeful possibilities for applications of generative AI for health and medicine.
This is a six-week asynchronous course.
Each week will include:
- Several short video lectures (total viewing time: about 60 minutes per week)
- Related readings
- Hands-on activities with several options for each topic.
Expect to spend about 3 to 4 hours per week to participate fully in the course.
Prerequisites
No technical understanding of generative AI is needed. You will need to create free accounts on several AI systems such as ChatGPT, Claude, and NotebookLM, Elicit, and Perplexity. Links to the necessary accounts will be provided.
The Instructor
Nicole Hennig is an expert in instructional design, user experience, and emerging technologies. She is currently an e-learning developer and AI education specialist at the University of Arizona Libraries.
Previously, she worked for the MIT Libraries as head of the user experience department. In her 14 years of experience at MIT, she won awards for innovation and worked to keep academics up to date with the best new technologies.
She is the author of several books, including Keeping Up with Emerging Technologies, Apps for Librarians, and Siri, Alexa, and Other Digital Assistants.
Librarians who take her courses are applying what they’ve learned in their communities. See their testimonials.
To stay current with the latest developments in AI, sign up for her email newsletter, Generative AI News, and follow her on Bluesky or Mastodon, where she posts daily about libraries, artificial intelligence, and other technologies.
- Understand generative AI technologies.
- Craft effective prompts for AI models.
- Address ethical concerns like bias and privacy.
- Utilize AI for data analysis and multimedia creation.
- Identify reliable sources to stay current on AI trends.
- Become familiar with generative AI as it's used in healthcare and medicine.
By registering for this class, you are agreeing to the NNLM Code of Conduct.