ADLRG – Federated Learning – 2
TrAC ADLRG Mini-course on Federated Learning (class 2/3) In this mini-course, we will cover concepts in Federated Learning.
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Courses
ADLRG – Federated Learning – 3
TrAC ADLRG Mini-course on Federated Learning (class 3/3) In this mini-course, we will cover concepts in Federated Learning.
TrAC Advanced AI Course on Scientific Machine 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 […]
$500
TrAC Foundational AI Course on MLOps
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 […]
$500
TrAC Foundational AI Course on End-to-End Computer Vision
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 […]
$500
TrAC Advanced AI course on Graph Neural Networks
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 […]
$500
TrAC Advanced AI Course on Self-Supervised Learning
Course Overview Self-Supervised Learning (SSL) is transforming the way we use machine learning by leveraging unlabeled data to create powerful models. This course offers a foundational understanding of SSL principles, […]
$500
TrAC Foundational AI Course on Generative Models
Course Description Elevate your machine learning skills with our comprehensive course, “Generative Models”. This course covers everything you need to know about generative models, from the basics of discriminative vs. generative models to advanced techniques like variational autoencoders, generative adversarial networks, and diffusion models. Engage in hands-on activities, solve real-world problems in image and time-series generation, […]
$500
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 […]
Deep 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 […]
Interpretability in AI
In this course, “Interpretability in AI”, you will learn about various interpretable and explainable machine learning algorithms, a branch of machine learning and AI. This course covers everything you need […]
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 […]