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  • Interpretability in AI

    Interpretability in AI In this course, you will learn about various interpretable and explainable machine learning algorithms, a branch of machine learning and AI. This course covers everything you need […]

    $500

  • Parallelism in Deep Learning

    Parallelism in Deep Learning In this course, “Parallelism in Deep Learning,” you will learn about the need for parallelism in deep learning and how to use different methods of parallelism […]

    $500

  • Multimodal AI Models

     The tutorial covers five modules covering foundational concepts, conversational AI, encoder architectures, generative models, and vision-language-action systems through lectures and hands-on coding exercises. Participants learn skills that map directly to […]

  • Self-Supervised Learning

    Self-Supervised Learning Dive into the cutting-edge world of self-supervised learning (SSL) for computer vision in this dynamic and hands-on course. SSL is revolutionizing AI by enabling models to learn from […]

    $500

  • TrAC Seminar Series – Yang Du

    Detail Date: March 6, 2026 Time: 11:00 AM - 12:00 PM CST Location: 2004 Black or https://iastate.zoom.us/j/96400866965?pwd=aPTqWkEDLjCH22m9xbotACkG6bHba9.1&from=addon

  • Generative Models

    Generative Models This course covers everything you need to know about generative models, from the basics of discriminative vs. generative models to advanced techniques like variational autoencoders, generative adversarial networks, […]

    $500