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 in deep learning. You will also learn about leveraging data parallelism and model parallelism workflows for your AI models on HPC infrastructures. In this course, […]
Events
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$500
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 to know about interpretability, including an overview of basic concepts of interpretability, interpretable models, model-agnostic methods, and example-based explanations. You will also learn how to […]
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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 […]
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Detail Date: February 20, 2026 Time: 11:00 AM - 12:00 PM CT Location: Zoom link will be updated |
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Detail Date: February 27, 2026 Time: 11:00 AM - 12:00 PM CST Location: To be announced |
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