ITS is thrilled to announce the launch of a Generative AI Workshop Series designed to offer a rich, engaging experience in just 60 minutes per session. With an expanded range of topics, these mini-workshops are tailored to meet the varied interests and needs of instructors, staff, and students. The series aims to equip our academic community with the requisite skills for leveraging GenAI in teaching and learning, as well as professional and personal productivity.
In addition to learning the basics of GenAI and its applications in academic and everyday settings, you will have the opportunity to earn badges to indicate your proficiency. Visit the ITS Generative AI Workshop Series Badging Program Canvas course for more details.
Beginner/Core Workshops
This mini-workshop introduces instructors, students, and staff to the basics of generative artificial intelligence (GenAI) and its applications in academic and everyday settings. Participants will gain a foundational understanding of common GenAI tools and their relevance in various educational and professional contexts.
Workshop Outline:
- What is GenAI?
- Definition and Overview
- Introduction to U-M GPT
- Exploring Key Concepts and Terminology
- Explanation of commonly used terms in GenAI
- Use Cases for Faculty, Staff, and Students
- Practical applications and examples
- Capabilities and Limitations
- Understanding what GenAI can and cannot do
- Generative AI Best Practices
Level: Beginner (Core Workshop)
Audience: Staff, Instructors, and Students
Badge Requirement (GenAI Beginner Badge): Either attend/watch this mini workshop or have attended/watched the previous Generative AI Basics (Full Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
This mini-workshop focuses on the limitations of generative artificial intelligence, with a particular emphasis on ethical considerations, academic integrity, equity, and bias concerns. Participants will be introduced to high-level issues in these areas, preparing them for further extensive training opportunities.
Workshop Outline:
- Academic Integrity
- The role of GenAI in maintaining or challenging academic standards
- How to evaluate student work in a GenAI era
- How students can demonstrate effectively where they have and haven't used GenAI
- How to use GenAI ethically and effectively in classwork
- Bias Concerns
- Examining how GenAI can perpetuate or mitigate biases
- Recommendations for how to prompt to reduce bias in output
- Responsibilities and Risks of Using GenAI
- GenAI is popping up everywhere (Google, Apple)
- Sensitive data types should only be used in U-M tools
Recommended Prerequisites: Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
Level: Beginner (Core Workshop)
Audience: Staff, Instructors, and Students
Badge Requirement (GenAI Beginner Badge): Either attend/watch this mini workshop (previously titled "Critical Challenges in GenAI: Exploring Privacy, Ethical Implications, Integrity, and Bias") or have attended/watched the previous Generative AI Basics (Full Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
This mini-workshop equips faculty, staff, and students with the essential skills to effectively use U-M GPT, the University of Michigan’s equitable, accessible, and secure text-based Generative Artificial Intelligence tool. The session includes foundational and advanced techniques for crafting effective prompts, exploring creative AI interactions, and leveraging U-M GPT for various educational applications. Participants will engage in interactive, hands-on activities to enhance their GenAI prompt crafting proficiency.
Workshop Outline:
- U-M GPT Review
- Prompt Literacy introduction
- Write your own prompt activity
- Student-facing prompts
- Effective text/data input into U-M GPT
- Tips & Tricks
- Data examples
- Prompt Crafting- Hands-On Opportunities
- Conversations/Length
- Rephrase/New Chat
- Specified Style/Tone
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
Level: Beginner (Core Workshop)
Audience: Staff, Instructors, and Students
Badge Requirement (GenAI Beginner Badge): Either attend/watch this mini workshop (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") or have attended/watched the previous Generative AI with U-M GPT (Full Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
Want to learn more about U-M GPT? Watch a recording of our Master the Art of Prompting with U-M GPT (Full Workshop) (recommended but not required to earn the GenAI Beginner badge).
Discover the power of NotebookLM, the advanced AI-powered research and note-taking assistant available to all University of Michigan faculty, staff, and students. Designed to help you understand and synthesize information from your own documents, NotebookLM transforms your lesson plans, lecture notes, and research papers into a dynamic knowledge base. By grounding its responses entirely in your sources, it becomes your most trusted research partner.
Recent Updates & Key Takeaways Include:
- Active Learning Tools: Instantly generate flashcards and customized quizzes from your uploaded sources to enhance recall and test mastery.
- Learning Guide Mode: Use the new "Learning Guide" to receive personalized tutoring, breaking down complex concepts step-by-step with probing, open-ended questions that encourage deeper critical thinking.
- Enhanced Reporting: Go beyond standard summaries by generating upgraded reports in custom formats, including Blog Posts, Glossary of Terms, FAQs, and Quizzes.
- Multiformat Audio and Video Overviews: Transform your documents into engaging "podcasts", perfect for on-the-go learning and diverse perspective-taking. Explore the new Video Overview to create a dynamic presentation based on your sources.
Source Versatility: Upload a wide range of source materials, including PDFs, Google Docs/Slides, and even web links, for comprehensive information synthesis.
Workshop Outline:
- Introduction to NotebookLM
- Understanding NotebookLM as an AI-powered research and note-taking assistant.
- Overview of how it utilizes only your uploaded documents for information synthesis and provides citations.
- Practical Applications and New Features:
- Demonstration of uploading diverse source materials.
- Generating Flashcards and Quizzes for study and review.
- Utilizing the Learning Guide for in-depth conceptual mastery.
- Creating customized reports, Audio Overviews, and Video Overviews in new formats.
- Accelerating Knowledge Sharing:
- Examples of generating lesson plans, discussion questions, and study guides.
- Q&A on NotebookLM features and usage.
- Privacy and Terms of Service:
- Overview of the ITS AI Services Privacy Notice and Terms of Service (emphasizing data is not used to train the AI).
- Wrap-up and Resources
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Beginner
Audience: Students, Instructors, Staff
Badge Requirement (GenAI Intermediate Badge): Either attend/watch this mini workshop or have attended/watched the previous From Idea to Insight: Exploring Gemini and NotebookLM for Education (Mini Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
Join this workshop to unlock the full potential of Google Gemini, the versatile AI assistant now available to all University of Michigan faculty, staff, and students. Gemini goes beyond simple Q&A, offering a powerful, multimodal platform to enhance your daily work and exploration. Learn how to use it for in-the-moment assistance, rapid content summarization, and generating various creative text formats.
Recent Updates & Key Takeaways Include:
- Guided Learning Mode: Discover how Gemini can act as a personalized AI tutor, walking students and faculty through complex topics step-by-step rather than just providing a single answer.
- Deep Research: See demonstrations of generating comprehensive, synthesized reports on complex topics with citations, saving hours on initial research.
- Custom AI Experts (Gems): Learn to create and share custom versions of Gemini (Gems) personalized to be experts on any topic, from a learning coach to a specialized brainstorming partner.
Multimodal Capabilities: Explore using images as prompts to analyze lecture notes, textbook problems, or research diagrams, and seamlessly integrate visuals.
Workshop Outline:
- Introduction to Google Gemini:
- What is Gemini, its multimodal capabilities, and how to access it (web and mobile apps).
- Overview of potential educational and research applications at U-M.
- Exploring Key Features and New Updates:
- Hands-on with Guided Learning for step-by-step exploration.
- Demonstrating Deep Research for comprehensive report generation.
- Leveraging image and text generation for practice materials and creative content.
- Creating and Sharing Custom Gems.
- Privacy and Terms of Service:
- Overview of the ITS AI Services Privacy Notice and Terms of Service.
- Wrap-up and Resources
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Beginner
Audience: Students, Instructors, Staff
Badge Requirement (GenAI Intermediate Badge): Either attend/watch this mini workshop or have attended/watched the previous From Idea to Insight: Exploring Gemini and NotebookLM for Education (Mini Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
Are you curious about how AI can help you create custom visuals? In this workshop, you’ll use tools like GPT-Image-1 in U-M GPT and Adobe Firefly to design professional-looking images.
Using simple text descriptions, we’ll show you how to turn your ideas into images. You’ll also explore Firefly editing tools, like adding or removing objects, changing backgrounds, and enhancing photos.
This session is perfect for faculty, staff, and students looking to create eye-catching visuals for assignments, presentations, teaching materials, or communications
Workshop Outline:
- Generative AI for Images - Introduction
- Crafting Effective Prompts
- Troubleshooting Common AI Image Generation Issues
- Ethical Considerations
- Live Demo: GPT-Image-1 in UM-GPT
- Exploring Adobe Firefly Generative AI Features
- Wrap-Up and Key Takeaways
Preparation Tips: To ensure a smooth start, log into Adobe Firefly at least 15 minutes before the workshop begins.
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Beginner (Core Workshop)
Audience: Staff, Instructors, and Students
Badge Requirement (GenAI Advanced Badge): Either attend/watch this mini workshop or have attended/watched the previous Leveraging Generative AI to Create Imagery Part 1 (Full Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
Want to learn more about AI imagery? Watch a recording of our Ignite Digital Creativity – Generative AI Imagery, Part II (Full Workshop) (recommended but not required to earn the GenAI Advance badge).
This mini-workshop is designed to equip faculty with the necessary skills and knowledge to effectively integrate Generative Artificial Intelligence into the classroom setting. Faculty members will explore its impact on students and instruction, learn how to discuss Generative AI (GenAI) with students and receive guidance on writing a GenAI syllabus statement. Although this workshop is designed for instructors, all are welcome.
Workshop Outline:
- GenAI in education
- Objectives, overview, and impact
- Syllabus statements
- Strategies for communication and writing GenAI syllabus statements
- Ideas for (re)designing assignments in a GenAI era
- Sharing experiences, troubleshooting challenges, and providing additional resources
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Beginner (Core Workshop)
Audience: Instructors
Badge Requirement (GenAI Advanced Badge): Either attend/watch this mini workshop or have attended/watched the previous Generative AI in the Classroom Part 1 (Full Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
Want to learn more about GenAI in the classroom? Watch a recording of our Generative AI in the Classroom, Part 2 (Full Workshop) (recommended but not required to earn the GenAI Advance badge).
Intermediate/Advanced Workshops
Discover how to enhance your classroom with U-M Maizey by integrating it seamlessly with Canvas and using it as an innovative assistant for supporting student learning. This workshop is designed for instructors who wish to leverage Maizey as a class tutor, homework helper, and more. By the end of the session, you will have the skills to set up and customize Maizey projects for your educational needs, ensuring that Maizey becomes an invaluable asset in your teaching toolkit. This workshop will also introduce Go Blue, a powerful AI assistant tailored for the University of Michigan student community, designed to enrich daily student life with personalized support.
Workshop Outline:
- Introduction to U-M Maizey for Educators
- Overview of Maizey’s Role in Education
- Benefits for Instructors and Students
- Maizey and Canvas Integration
- Setting Up Maizey with Canvas
- New! Instructor Tools
- Indexing Canvas Courses
- Managing Course Materials
- Practical Applications in Teaching and Learning
- Using Maizey as a Class Tutor
- Enhancing Homework Assistance
- Using a Maizey as a student
- Facilitating Discussion and Research
- Customization and Advanced Settings
- Understanding Maizey Data Sources and File Types
- Defining System Prompts for an Educational Context
- Adjusting Temperature Settings for Accurate Responses
- Hands-On Activity
- Creating and Customizing Maizey Projects
- Crafting Effective System Prompts
- Experimenting with Settings to Optimize Performance
- Q&A and Best Practices
- Sharing Use Cases and Success Stories
- Troubleshooting Common Issues
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Intermediate/Advanced
Audience: Instructors and Students
Badge Requirement (GenAI Intermediate Badge): Attend/watch this mini workshop, or have attended/watched the previous Getting Started with U-M Maizey (Full Workshop), or attend an ITS Make a Maizey event. Visit the ITS Generative AI Workshop Series Badging Program for more details.
Want to learn more about U-M Maizey? Watch a recording of our Tailoring U-M Maizey: Your Personalized Digital Assistant (Full Workshop) (recommended but not required to earn the GenAI Intermediate badge).
Enhance your productivity by harnessing U-M Maizey for various staff-related tasks, including managing Dropbox, Google Drive, and public website data efficiently. This workshop is aimed at staff members who want to utilize Maizey to streamline their workflows, manage large data sets, and automate routine tasks. Participants will learn how to set up and configure Maizey projects, customize system prompts, and adjust settings to improve Maizey's performance for diverse applications.
Workshop Outline:
- Practical Applications for Staff
- Streamlining Administrative Tasks
- Automating Data Processing
- Enhancing Document Management and Retrieval
- Customization and Advanced Settings
- Understanding Maizey Data Sources and File Types
- Defining System Prompts for Various Staff Roles
- Adjusting Temperature Settings for Improved Accuracy
- Hands-On Activity
- Creating and Customizing Maizey Projects
- Crafting Effective System Prompts
- Experimenting with Settings to Optimize Performance
- Q&A and Best Practices
- Sharing Use Cases and Success Stories
- Troubleshooting Common Issues
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Intermediate/Advanced
Audience: Staff
Badge Requirement (GenAI Intermediate Badge): Attend/watch this mini workshop, or have attended/watched the previous Getting Started with U-M Maizey (Full Workshop), or attend an ITS Make a Maizey event. Visit the ITS Generative AI Workshop Series Badging Program for more details.
Want to learn more about U-M Maizey? Watch a recording of our Tailoring U-M Maizey: Your Personalized Digital Assistant (Full Workshop) (recommended but not required to earn the GenAI Intermediate badge).
Ready to transform your work tasks and free up valuable time? Join our interactive workshop and discover how Generative AI (GenAI) tools can streamline your approach to work tasks, course data management, and administrative tasks. Enhance your productivity and increase your time engaging with your colleagues and higher-order tasks.
Workshop Outline:
- Effortless Course Content Creation
- Using GenAI to generate materials such as reports, slides, and content for work pages
- Streamlined Data Analysis
- Exploring techniques for analyzing data and summarizing academic and administrative materials using GenAI tools
- Hands-on Experience
- Practical, hands-on exercises to get comfortable using GenAI tools for work tasks.
- Peer Insights and Best Practices
- Participatory discussions and sharing of best practices for integrating GenAI into professional tasks
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Intermediate/Advanced
Audience: Staff
Badge Requirement (GenAI Intermediate Badge): Either attend/watch this mini workshop or have attended/watched the previous Boosting Teaching and Work Productivity with Generative AI (Full Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
Ready to transform your teaching and free up valuable time? Join our interactive workshop and discover how Generative AI (GenAI) tools, specifically U-M GPT, can streamline your approach to creating syllabi, assignments, rubrics, and lesson plans. Dive into practical ideas for designing assignments and instructional materials in a GenAI era, and engage in hands-on opportunities using U-M GPT and resources like the "60+ ChatGPT Assignments to Use in Your Classroom Today" Book Guide. Enhance your productivity and gain more time to engage with your students!
Workshop Outline:
- Effortless Course Content Creation
- Using U-M GPT for generating slides, content for Canvas pages, and other course materials (syllabus, lesson plans, rubrics)
- Designing Assignments and Instructional Materials
- Practical ideas for creating assignments and instructional materials.
- Hands-on exploration of the "60+ ChatGPT Assignments to Use in Your Classroom Today" Book Guide
- Engaging exercises to design and refine assignments
- Streamlined Data Analysis
- Techniques for analyzing data and summarizing academic materials using GenAI tools
- Hands-on Experience
- Practical, hands-on exercises to get comfortable using U-M GPT and other GenAI tools.
- Peer Insights and Best Practices
- Participatory discussions and sharing of best practices for integrating GenAI in higher education.
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
- The GenAI Educational Landscape: Best Practices for Instructors (Mini Workshop) OR Generative AI in the Classroom, Part I
Level: Intermediate/Advanced
Audience: Instructors
Badge Requirement (GenAI Intermediate Badge): Either attend/watch this mini workshop or have attended/watched the previous Boosting Teaching and Work Productivity with Generative AI (Full Workshop). Visit the ITS Generative AI Workshop Series Badging Program for more details.
This workshop topic introduces you to the University of Michigan's personalized AI assistant: Go Blue.Links to an external site. Discover how Go Blue can enhance your campus experience with features like class information, dining menus, student organization finder, campus navigation, and more. Learn about the newest Go Blue App, which includes voice-based search, image analysis, and location access. This session will empower you to make the most of these innovative tools to simplify and enrich your daily life at U-M.
Workshop Outline:
- Exploring Go Blue
- Core Features: Class Information, Dining Menus, Student Club/Organization Finder, GenAI Help, Campus Information, Student Support
- Live Demo
- Unveiling the Go Blue App
- Additional app functionalities: voice-based search, image analysis and location access
- Live Demo:
- Exploring the Go Blue App interface and key features
- Effectively prompting Go Blue
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
- Harness U-M Maizey and Go Blue for Teaching and Learning (Mini Workshop OR Streamline Daily Work Tasks with U-M Maizey (Mini Workshop) OR Getting Started with U-M Maizey (Full Workshop)
Level: Intermediate/Advanced
Audience: Students, Instructors, Staff
Badge Requirement (GenAI Advanced Badge): Attend/watch this mini workshop. Visit the ITS Generative AI Workshop Series Badging Program for more details.
Reimagine your teaching and course design with U-M’s innovative suite of generative AI Instructor Tools, powered by Maizey. This workshop introduces five innovative tools—each built to streamline your workflow, enrich student learning, and enhance your effectiveness as an educator.In this workshop, you’ll get hands-on experience with 5 GenAI Instructor Tools:
AI Prompt Coach: Learn to craft effective prompts and get the best from any AI tool, every time.
Wolverine Course Design Assistant: Plan, build, and refine engaging courses with expert guidance rooted in instructional best practices and learning science.
Wolverine Learning Objectives Assistant: Create measurable, impactful learning objectives—quickly and confidently.
Wolverine Letter of Recommendation Assistant: Save time with AI-crafted, personalized letters that showcase each applicant’s unique qualities.
Wolverine Multiple Choice Questions Assistant: Develop scenario-based assessment questions with rich feedback to support deep student understanding.
Join us to explore strategies for integrating these tools into your daily practice. Whether you’re designing a new course, writing recommendations, or rethinking assessments, you’ll leave with actionable skills—and inspiration—to use these tools to support teaching & learning.
Recommended Prerequisites:
- Introduction to GenAI: Unpacking Key Concepts (Mini Workshop) OR Generative AI Basics (Full Workshop)
- Critical Challenges in GenAI: Academic Integrity, Bias, Responsibilities, and Risks (Mini Workshop) (previously titled "Critical Challenges in Gen AI: Exploring Privacy, Ethical Implications, Integrity, and Bias") OR Generative AI Basics (Full Workshop)
- From Basics to Brilliance: Prompt Crafting with U-M GPT (Mini Workshop) (previously titled "From Basics to Brilliance: Prompt Engineering with U-M GPT") OR Generative AI with U-M GPT (Full Workshop)
Level: Intermediate/Advanced
Audience: Instructors, Staff
Badge Requirement (GenAI Advanced Badge): Attend/watch this mini workshop. Visit the ITS Generative AI Workshop Series Badging Program for more details.