Learn practical tools
Build working familiarity with generative AI, coding assistants, evaluation, and data workflows.
For Northeastern faculty
Faculty Development
Practical support for teaching with AI, researching with AI, and making sound decisions about emerging tools.
Integrate AI into teaching
Design assignments that make AI use visible, useful, and connected to learning outcomes.
AI-assisted research
Explore where AI can support literature review, coding, analysis, and research workflows.
Generative AI for educators
Develop classroom-ready practices for prompting, critique, feedback, and responsible use.
Compute and infrastructure
Find pathways to cloud, GPU, and HPC resources for teaching and experimentation.
Develop courses & assignments
Work with peers to shape practical courses, modules, labs, and assessments.
A working faculty practice
Move from tool curiosity to classroom evidence.
Effective faculty development is grounded in a real course, assignment, or research workflow. Workshops and collaborations can help you prototype, test, and revise.
Browse workshops- Bring a current course or research workflow.
- Choose one problem worth improving.
- Try a tool or method with clear boundaries.
- Evaluate the result with students or collaborators.
- Share what worked and what needs revision.
Looking to collaborate?
Faculty can propose a hands-on session, connect around a research question, or help shape a new learning pathway.
Find a faculty pathway →