AI Trainings and Resources Guide

AI Trainings and Resources Guide#

CU Boulder & CURC Resources#

CU Boulder: AI Efforts on Campus#

RMACC-CU AI Workshop#

  • Workshops held in partnership with the Rocky Mountain Advanced Computing Consortium. See CU-RMACC AI Workshop.

CURC AI/ML Trainings#

CURC AI/ML Software Stack#

  • The following AI/ML software are available and actively supported on CURC systems:

    • Ollama: A lightweight and beginner-friendly tool for running large language models locally. Compatible with a variety of systems and enables easy model retrieval. For usage instructions, see Running Large Language Models.

    • Transformers by Hugging Face: A popular framework for working with pre-trained LLMs and building Natural Language Processing(NLP) applications. For usage instructions, see Running Large Language Models.

    • AlphaFold: An AI tool from DeepMind that predicts 3D protein structures from amino acid sequences, revolutionizing biological and medical research. For documentation and usage details, see our AlphaFold Page.

    • CUDA Toolkit, cuDNN, NVIDIA HPC SDK: For GPU-accelerated AI training and inference.

  • Additional supported software can be found in the CURC Software List or you can explore available modules using the module spider command.

National Community Resources#

NAIRR Pilot: AI Training & Events#

ACCESS-CI: AI/ML Events & Workshops#

  • National workshops hosted by ACCESS provide deep dives into topics such as distributed AI training, HPC-ML integration, and software best practices. See ACCESS-CI Events and Trainings Page.

NSF AI Institutes Training Pages#

  • The NSF AI Institutes support research and training across 29 centers nationwide, with programs spanning AI in education, public health and more. Institutes host ongoing events, workshops, and educational outreach. See AI Institutes Events and News Page.

NCAR CISL YouTube Channel#

  • Features in-depth trainings from the National Center for Atmospheric Research. Topics range from scientific computing to ML in environmental data science. For full access, see the NCAR CISL YouTube Playlists.

National Research Platform (NRP)#

  • Events, workshops, and training sessions from the National Research Platform, focused on cyberinfrastructure, distributed computing, and related research computing topics. See the NRP Events Page.

PSC AI/ML Trainings#

  • The Pittsburgh Supercomputing Center (PSC) offers workshops and webinars focused on AI/ML research using the NSF-funded Neocortex system and Cerebras hardware. Learn more on the PSC Neocortex Training Page.

Policy, Ethics, & Responsible AI Use#

RDA: Guidance on AI Tools Usage#

  • Guidance from the Research Data Alliance for responsible use of AI tools in research and collaboration contexts. Topics include informed consent, transparency, privacy, and attribution. See the RDA Guidance on AI tools.

RAISE: Responsible AI in Evidence Synthesis#

  • Cochrane’s guidelines on ethical AI use in health and life sciences research workflows. Discusses oversight, model validation, and responsible tool integration. Read more on the RAISE OSF Page.

Workshops and Proceedings#

Kempner Institute ML Optimization Workshop#

  • Harvard’s Kempner Institute offers detailed guidance on optimizing ML workflows, data management, and model efficiency. View the Kempner ML Workshop.

PEARC Proceedings#

  • Offers peer‐reviewed papers and proceedings in AI and Machine Learning as applied in computing systems and infrastructure. Access the PEARC Proceedings.

Software Carpentry#

  • Offers foundational workshops in Python, data analysis, and version control, which increasingly include AI/ML-relevant tools and workflows (e.g., Jupyter, scikit-learn, TensorFlow intro sessions). Browse upcoming Software Carpentry Workshops.

Vendor Trainings#

NVIDIA Deep Learning Institute (DLI)#

  • Free and paid GPU-accelerated AI learning content. Academic users often get free access. Explore the NVIDIA DLI Portal.

Amazon Web Services (AWS) – ML Training#

  • AI/ML courses using SageMaker, Bedrock, and more. Some content is free. Visit the AWS ML Training Page.

Microsoft Learn – AI & ML#

  • Free Microsoft-hosted learning paths for Azure ML, generative AI, and AI governance. Start learning via Microsoft Learn for AI.

Community Recognized Resources#

Science Gateways Community Institute (SGCI)#

  • SGCI offers occasional workshops on integrating AI/ML into science gateways and user-facing tools. Learn more and explore upcoming events on the SGCI Website, under the Community tab.

CaRCC (Campus Research Computing Consortium)#

  • While CaRCC primarily supports the broader research computing ecosystem, working groups and community calls sometimes cover AI/ML topics, especially in the context of campus-level support and policy. Learn more at CaRCC Website.

Contribute or Suggest a Resource#

Have a trusted training resource you’d like to share with the community? Submit a support request form or submit a GitHub Issue to our documentation.

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