TrAC ADLRG Mini-course on Federated Learning (class 3/3) In this mini-course, we will cover concepts in Federated Learning.

Course Description Dive into the theory, implementation, and limitations of Scientific Machine Learning (SciML) models. In this course, you will engage in hands-on and practical activities under the expert guidance of our experienced instructors. Learning SciML will be enjoyable and rewarding as you engage in real-world applications, such as solving partial differential equations using physics-informed […]

Join our dynamic MLOps course and discover how machine learning has been transformed from a research tool into a key component of modern applications used by millions. In this hands-on course, you’ll master essential topics like MLflow, Data Pipelines, RestAPI development, and containerization. Our expert instructors will guide you through every step, ensuring you gain […]

Join our cutting-edge End-to-End Computer Vision course and unlock the power of visual data in today’s digital world. In this comprehensive and hands-on course, you’ll dive deep into the complete lifecycle of computer vision applications. From data collection and annotation to model training, deployment, and performance monitoring, our expert instructors will guide you through every […]

In this course, "Graph Neural Network", we will learn about graph neural network models, a branch for machine learning and AI. We will cover everything from the overview of graph machine learning, basic graph neural networks and advanced graph neural networks with different mechanisms. We will also cover how to leverage these models to address […]