AI training programs and learning guides

Community-building groups

• AI for teachers. This group shares knowledge on the subject of AI for teachers. If you use AI for your daily work, either in administration, research or teaching and learning, feel free to join and share your knowledge.

Going behind the scenes on AI

• Updated Sept 20, 2023. AI can now create images out of thin air. See how it works. Kevin Schaul, Hamza Shaban, Shelly Tan, Monique Woo and Nitasha Tiku. A strange and powerful collaborator is waiting for you. Offer it just a few words, and it will create an original scene, based on your description.
• Nov 1, 2023. How AI chatbots like ChatGPT or Bard work – visual explainer. Seán Clarke, Dan Milmo and Garry Blight. Here’s a visual walk-through of how this type of artificial intelligence works.

Learning guides

• A Faculty Guide to A.I. Temple University. Center for the Advancement of Teaching.
• AI for Teaching and Learning. A page with events and AI information from Pima Community College.
• AI Literacy in the Age of ChatGPT. University of Arizona Library.
• AI Toolkit for Educators. EIT InnoEnergy Master School Teachers Conference 2023. Prepared by: Stella Lee, PhD
• Artificial Intelligence in the Classroom. A Collection of Resources/Ideas Prepared by CETL. Chapman University.
• Artificial Intelligence: Guide to Artificial Intelligence (AI) in health sciences research. University of Washington Health Sciences Library.
• Artificial Intelligence in Teaching & Learning. Camosun College. Helpful information, guidance, and resources for faculty and students on the implications of generative artificial intelligence for teaching and learning.
• Artificial Intelligence Resources for Tufts Faculty and Staff.
• ChatGPT and Artificial Intelligence Tools. From Georgetown University. While our understanding of generative Artificial Intelligence (AI) tools—and how to integrate them in teaching—will continue to grow, the fundamental principles of effective assignment design remain intact. Peruse the resources below to learn how your course design can respond to the ubiquity of these technologies, including what policies to consider including in your syllabus.
• Faculty Exposure to AI Training Sessions. Opportunity for collaborating on faculty exposure sessions to AI, Our initial objectives, what we expected, what we learned and what we suggest to others.
• Generative AI & the College Classroom. Educators are acting fast to consider the implications of ChatGPT and several other generative artificial intelligence (AI) tools. The following recommendations represent the CEP’s and IMATS’ initial and ongoing research into generative artificial intelligence and its implications in the higher education classroom, with recommendations for classroom activities, assignment design, and academic honesty and ethical considerations regarding the potential risks of this technology.
• Generative AI: Faculty resources. UNC Chapel Hill. ChatGPT and other generative AI tools are changing Higher Education, organizations and society. To help faculty and staff use these tools appropriately and ethically, the UNC AI Committee has developed a set of resources, including guidance, training, and tools.
• Generative AI – Instructional Opportunities and Challenges. University of Wisconsin-Madison. The principles and resources shared below are intended as first steps to help instructors begin to address generative AI within the courses they teach.
• Guidelines for Instructors on AI. This page includes recommendations for NJIT instructors in Artificial Intelligence (AI) course usage.
• Incorporating Generative AI in Teaching and Learning: Faculty Examples Across Disciplines. Faculty across Columbia University are reimagining their course policies, assignments, and activities to refocus on student learning and transparently communicate expectations to their students about the use of generative AI. In what follows, faculty across disciplines provide a glimpse into their approaches as they experiment with AI in their classrooms and teach AI literacy to their students. 
• Integrating Generative AI in Teaching and Learning: Faculty approaches across Barnard. Barnard faculty are reimagining their course policies, assignments, and activities to refocus on student learning and transparently communicate expectations to their students about the use of generative AI. In what follows, faculty across disciplines provide a glimpse into their approaches as they look ahead to the Fall 2023 semester.
• KU Center for Teaching Excellence AI Resources. The resources on this page are intended to help address those questions.
• Learn with AI. Rather than try to ban this technology from classrooms outright, the Learning With AI initiative from the University of Maine asks if this moment offers an opportunity to introduce students to the ethical and economic questions wreaked by these new tools, as well as to experiment with progressive forms of pedagogy that can exploit them.
• Making Videos Accessible with Universal Translator. May 18, 2023. Universal Translator dubbing efforts leverage dozens of AI technologies to translate the full expressive range of video content in a responsible way, making videos accessible to audiences across the world. We partnered with Arizona State University to make their educational content more available to students anywhere and everywhere, breaking down learning barriers and increasing learning comprehension.
• Practical AI for Instructors and Students Part 1: Introduction to AI for Teachers and Students. From Ethan and Lilach Mollick. This is the first video in a multi-part series.
• Research Index. OpenAI. Database of papers.
• Resources: Paradox Learning. Downloadable documents.
• Sep 22, 2023 (last update). AI and ChatGPT in Teaching. University of Minnesota Libraries.
• Fall 2024. Back-to-School Guide. Dan Fitzpatrick. It’s a mini e-book. A back-to-school AI guide. Use for yourself or for professionally developing your colleagues.

Literacy (AI and Information)

• AI and Information Literacy. Welcome to this online module on artificial intelligence (AI) and information literacy! University of Maryland. “You should expect to spend about 1-2 hours reading/watching the information in this module and completing a couple short quizzes and activities.”
• AI in Education. “This site is a resource for students, built by students, to provide ways you can use generative artificial intelligence productively and responsibly as part of your learning journey in university.” The University of Sydney.
• There’s an AI for that. https://theresanaiforthat.com/ “32,029 AI tools for13,991 tasks and 4,989 jobs”
• Tome for creating presentations. https://tome.app/blog/how-to-create-a-great-presentation-with-ai-in-tome
• 2025. AI Literacy for All: A Universal Framework. Leo Lo. “The framework integrates five essential components—Technical Knowledge, Ethical Awareness, Critical Thinking, Practical Use, and Societal Impact—each structured into four progressive levels guiding learners from basic awareness to strategic insight.”

Prompting

• Aug 31, 2023. Generative AI Prompt Creation and Management. Dominik Wever. Join us for a chat with the CEO of Promptitude, Dominik Wever, about harnessing the power of generative AI to create prompts that help us work better, smarter, and more efficiently….Wever will provide you with a high-level understanding of how generative AI works, share useful strategies for crafting effective prompts, and deliver a short demonstration of Promptitude, a platform that helps organizations integrate GPT into apps and workflows.
• Sept 19, 2023. Prompt Engineering 101 for Content Developers. Lance Cummings. A presentation with prompt writing info.
  • Video of the presentation can be found here.
• Sept 26, 2023. The Anatomy of a Prompt. Lance Cummings. There’s nothing magical about structured prompt operations
• AI Prompting Guide for Online Course Design. Tarrant County College – Connect Campus.
• General AI Prompting Guide for Educators. Tarrant County College – Connect Campus.
• GitHub AI prompting library. Welcome to the Prompts for Education repository! Our mission is to transform the way students, educators, and staff in K-12 and higher education institutions interact with generative AI technology like ChatGPT and Bing Chat. By using these prompts, staff can save time and work more efficiently, and students can explore new and exciting learning opportunities. Whether you’re a student, a third-grade teacher, a college professor, or a school administrator, this collection is designed with you in mind. No technical expertise required!
• Submitted Jan 28, 2023. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, Denny Zhou. We explore how generating a chain of thought — a series of intermediate reasoning steps — significantly improves the ability of large language models to perform complex reasoning. In particular, we show how such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain of thought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting.
• Submitted Feb 2023. A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, Douglas C. Schmidt. This paper describes a catalog of prompt engineering techniques presented in pattern form that have been applied to solve common problems when conversing with LLMs.
• Submitted Feb, 21, 2023. A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, Douglas C. Schmidt. This paper provides the following contributions to research on prompt engineering that apply LLMs to automate software development tasks.
• Edited March 10, 2023. ReAct: Synergizing Reasoning and Acting in Language Models. Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao. In this paper, we explore the use of LLMs to generate both reasoning traces and task-specific actions in an interleaved manner, allowing for greater synergy between the two: reasoning traces help the model induce, track, and update action plans as well as handle exceptions, while actions allow it to interface with external sources, such as knowledge bases or environments, to gather additional information.
• Submitted March 11, 2023. ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design. Jules White, Sam Hays, Quchen Fu, Jesse Spencer-Smith, Douglas C. Schmidt. This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to automate common software engineering activities, such as ensuring code is decoupled from third-party libraries and simulating a web application API before it is implemented.
• GenAI Chatbot Prompt Library for Educators. AI for Education. Massive prompting library by topic.
• Feb 2025. Prompt Engineering. Lee Boonstra. “This whitepaper discusses prompt engineering in detail. We will look into the various prompting techniques to help you getting started and share tips and best practices to become a prompting expert. We will also discuss some of the challenges you can face while crafting prompts.”

Training programs

• AI Literacy Canvas Module Request Form. Rush University. This module is designed to empower faculty leaders in guiding students in the use of new and emerging technologies.
• AI for Education. 4 lessons available. The complete four-lesson, 8-hour unit is freely available, has versions designed for grades 7-9 or 10-12, and is aligned to US,UK, AUS, and ISTE standards.
• AI Tools for Teaching & Learning course request form. From Laura Otero, PhD at California State University Monterey Bay. And here is the main page for their faculty resources: Center for Academic Technologieshttps://csumb.edu/cat/faculty-resources/ai/
• An Essential Guide to AI for Educators. A 2-hour, hands on course designed to help educators get started using ChatGPT to save time, engage students, and implement AI responsibly.
• Generative AI Prompt Literacy. University of Michigan-Flint. This course isn’t just about the ‘how’ of AI prompts. It explores the ‘why,’ highlighting the impact of well-crafted prompts on the quality and usefulness of AI output.
• Welcome to the Elements of AI free online course! The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
• OpenAI Academy. “Unlock the opportunities of the AI era by equipping yourself with the knowledge and skills to harness artificial intelligence effectively.”

Time-sensitive trainings

• Starts Sept 15, 2023. Impact and application of Generative Artificial Intelligence within Education. This is intended to be a collaborative online space for sharing practice and exemplars and developing good guidance, particularly for those in the IEEE Education Society community.
• Oct 2023 trainings. AI for Teaching and Learning.