Generative AI Fluency Modules
AI Fluency Modules
Our asynchronous modules provide flexible opportunities to build both practical skills and conceptual understanding of generative AI. Modules combine short, guided instruction with applied activities that encourage experimentation, reflection, and critical use of campus-supported AI tools.
Explore Our AI Fluency Modules
AI Literacy for Students
Explore strategies for helping students develop critical AI literacy skills. Prepare learners to use AI tools responsibly, understand their capabilities and limitations, and integrate AI into academic work with integrity.
Understanding Generative AI
Lay the groundwork for understanding how generative AI works and where it falls short. Examine the mechanisms that drive generative models, recognize their constraints, and develop a grounded sense of how to use them creatively and productively.
Collaborative Iteration with GenAI
Shift focus from passively receiving AI outputs to actively engaging AI as a collaborator. Learn to structure conversations that build on your own thinking using prompts as iterative tools for exploration and refinement.
Designing Interaction for Consistency
Design AI interactions for consistency through prompt patterns, reusable templates, and custom settings. Learn advanced techniques such as retrieval-augmented generation (RAG) to ground outputs in accuracy and relevance.
Engaging with Multimodal GenAI
Expand from text to multimodal creation with tools that generate images, audio, and video. Learn how to combine these modes effectively and assess outputs for clarity, accuracy, and appropriateness.
Prompt Engineering for Teaching & Learning
Discover advanced prompt engineering techniques designed for educational contexts. Craft effective prompts that support lesson planning, assessment design, student feedback, and personalized learning experiences.
The Cognitive Impacts of Generative AI
Examine how generative AI affects thinking, learning, and cognitive processes. Explore the neuroscience and psychology behind AI-assisted work and its impact on student cognition and learning outcomes.
Using and Creating Custom Agents
Learn to leverage and build custom AI agents tailored to specific tasks and workflows. Gain hands-on experience creating specialized AI assistants using platforms like ChatGPT and Copilot.
Build AI Skills on Your Schedule
Self-paced learning means you can complete modules on your own schedule.
Hands-on practice with real AI tools helps you build practical skills.
Skills-based content focuses on applications for teaching and learning.
Choose your path by selecting modules that match your interests and goals.
Explore These AI Tools
ChatGPT
OpenAI's conversational AI for text generation, brainstorming, and problem-solving.
Microsoft Copilot
Microsoft's AI assistant integrated with productivity tools for writing and research.
Google Gemini
Google's multimodal AI for text, image analysis, and creative content generation.
Notebook LM
Google's AI research assistant that helps you synthesize information from documents.
Adobe Firefly
Adobe's creative AI for generating images, graphics, and visual content.
Github Copilot
AI-powered coding tool for writing, organizing, and managing github repos.
Illinois Chat
Campus-developed AI platform built for University of Illinois educational needs.