Mastering PyTorch Master PyTorch, an open-source deep learning framework for AI. This course covers everything from the Tensors computations, custom architectures, and advanced functions in PyTorch. It also covers how to debug PyTorch codes to gain confidence in debugging codes. The course is packed with plenty of hands-on activities, homework, and instructor consulting to make […]
Graph Neural Networks Elevate your machine learning skills with our comprehensive course, “Graph Neural Networks”. This course covers everything you need to know about graph neural network models, including the basics of graph machine learning, advanced graph neural networks with various mechanisms, and how to leverage these models to address specific real-world problems. In this […]
Course Description This course covers everything you need to know about physics-informed neural networks (PINNs) and state-of-the-art neural operators. Learn the theory, implementation, and limitations of scientific machine learning models that bridge the gap between traditional numerical methods and modern deep learning. In this course, you will engage in hands-on activities and solve real-world partial […]
Course Description Elevate your machine learning skills with our comprehensive course, "End-to-End Natural Language Processing". This course covers everything you need to know about text data processing using state-of-the-art AI tools and various NLP tasks. Learn how to leverage large language models, master prompt engineering and retrieval augmented generation (RAG), and create your own specialized […]
Course Description This End-to-End Computer Vision course will explore how computers understand and process images. We'll cover key topics from image classification to object detection and segmentation, providing you with practical skills to build, train, and deploy computer vision models. Through interactive lessons and hands-on projects, you'll gain the expertise to create end-to-end solutions for […]
Reinforcement Learning In this course, "Reinforcement Learning", you will learn about various reinforcement learning (RL) algorithms, a branch of machine learning and AI. This course covers everything you need to know about RL, including an overview of the basic concepts of RL, value-based methods, policy-based methods, and actor-critic algorithms. You will also learn how to […]
