Translational AI Center

The Scientific Machine Learning (SciML) digital badge focuses on theory, implementation, and limitations of scientific machine learning models including physics-informed neural networks (PINNs) and state-of-the-art neural operators. The course is designed to develop skills in tackling partial differential equations using machine learning. The SciML course is offered by Iowa State University's Translational AI Center (TrAC) and is part of a larger Advanced AI Techniques pathway program and intended for audiences within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers.

The Self-Supervised Learning in Computer Vision (SSL) digital badge further develops AI skills for creating more efficient and scalable computer vision models. The course is centered on understanding and applying popular SSL methods like SimCLR, MoCo, BYOL, and Vision Transformers (DINO) utilizing PyTorch. The SSL course is offered by Iowa State University's Translational AI Center (TrAC) and is part of a larger Advanced AI Techniques pathway program.

This badge signifies the successful completion of the Professional Certificate in Translational AI program designed for current graduate students or working professionals within the technology industry, IT or related roles and equips students with the necessary skills and knowledge to enhance their AI expertise. The program consists of a series of online courses, including a practical experience component in AI.

The Graph Neural Network digital badge is designed to provide a basic understanding of graph neural networks and how to use these models for a broad range of audiences. The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The Graph Neural Network course is offered by Iowa State University's Translational AI Center (TrAC) and is part of a larger Advanced AI Techniques pathway program.

The Interpretability in AI digital badge is designed to provide a basic understanding of interpretability, including an overview of basic concepts of interpretability, interpretable models, model-agnostic methods, and example-based explanations. The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The Interpretability in AI course is offered by Iowa State University's Translational AI Center (TrAC) and is part of a larger Foundations in AI pathway program.

The Parallelism in Deep Learning digital badge focuses on theory and application of how to use different methods of parallelism in deep learning, leveraging data parallelism and model parallelism workflows for AI models on HPC infrastructures. The Parallelism in Deep Learning course is offered by Iowa State University's Translational AI Center (TrAC) and is part of a larger Advanced AI Techniques pathway program and intended for audiences within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers.

The 3D Vision - NeRFs & INRs digital badge focuses on the basics of 3D Vision and how to use state-of-the-art 3D vision algorithms such as Neural Radiance Fields, Gaussian Splats, Implicit Neural Representations. The 3D Vision - NeRFs & INRs course is offered by Iowa State University's Translational AI Center (TrAC) and is part of a larger Advanced AI Techniques pathway program and intended for audiences within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers.

The Reinforcement Learning digital badge is designed to provide basic concepts of RL, value-based methods, policy-based methods, and actor-critic algorithms. The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The Reinforcement Learning course is offered by Iowa State University's Translational AI Center (TrAC) and is part of a larger Advanced AI Techniques pathway program.

This badge recognizes proficiency in Advanced AI Techniques, showcasing the ability to apply modern AI concepts and tools to real-world scenarios effectively. Recipients of this badge have demonstrated advanced skills in model implementation, performance evaluation, and model architecture design utilizing SciML, GNN and SSL across various domains.