Trainings by TrAC – Fall 2025
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Author: baditya
- Scientific Machine Learning (SciML) – Learn physics-informed neural networks (PINNs) and state-of-the-art neural operators
- End-to-End Natural Language Processing – Master text processing, prompt engineering, RAG, and custom NLP model development
- End-to-End Computer Vision – Develop CV models for classification, detection, and segmentation using PyTorch
- Reinforcement Learning – Master value-based and policy-based RL algorithms for sequential decision-making
- Mastering PyTorch – Master PyTorch, an open-source deep learning framework for AI, covering everything from Tensors computations to custom architectures and advanced functions
- Duration: 4-week instructional period
- Format: Asynchronous, self-paced recorded videos with live sessions
- Completion: Badge completion time is ~60 days
- Cost: $500 for industry professionals, $300 for ISU staff/government employees; ISU students can take it for credit for free of cost.
- Duration: 8 hours (typically split across 2 days or weekend sessions)
- Style: Intensive, hands-on workshops with expert instructors
- Focus: Latest trends and practical implementation techniques
- Target Audience: AI practitioners, researchers, and advanced students
- Distributed computing for large-scale AI applications
- Courses focusing on scalable AI model training
- GPU acceleration for machine learning workloads
- Fundamentals of Deep Learning – 1-5 p.m., Mondays, Sept. 15 and 22, 2025, led by Aditya Balu
- Generative AI with Diffusion Models – 1-5 p.m., Mondays, Oct. 6 and 13, 2025, led by Aditya Balu
- Fundamentals of Accelerated Computing with CUDA C/C++ – 1-5 p.m., Mondays, Oct. 27 and Nov. 3, 2025, led by Adarsh Krishnamurthy
- Avoiding AI Fails, Data Viz 101, Introduction to Python for Non-programmers, Basic Data Cleaning with OpenRefine, and Exploring Free Tools for Text Analysis