Generative AI tools
Prompting, model comparison, evaluation, and workflow practices for responsible use.
A useful shelf
AI Resources
Start with the tools, infrastructure, learning, and Northeastern services that support practical AI work.
Cloud computing
Cloud pathways for experiments, applications, storage, and scalable workloads.
GPU & HPC resources
Compute resources for model development, data processing, and intensive experiments.
GitHub, Copilot & Codespaces
Developer tools for version control, collaboration, environments, and AI-assisted coding.
Research resources
Methods, evaluation practices, papers, datasets, and reproducible experiment patterns.
Teaching resources
Assignment design, classroom practices, and guidance for teaching with generative AI.
Courses & learning
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View courses →Claude at Northeastern
Find Northeastern's current guidance and access information for Claude and generative AI.
Institute for Experiential AI
Explore Northeastern's broader experiential AI community and applied learning context.
College of Engineering computing
Start with the university and College of Engineering services that support technical work.