All current PyTorch Courses courses in 2024
71 Courses
AI Capstone Project with Deep Learning
Embark on a transformative journey with the AI Capstone Project with Deep Learning course, offered exclusively on Coursera. This pinnacle program is meticulously designed for those who wish to leverage their deep learning acumen by tackling a real-world challenge head-on. Participants will have the freedom to select their preferred library—as Keras.
Coursera
Free Online Course (Audit)
16 hours
On-Demand
Secure and Private AI
Discover how to navigate the critical intersection of AI and privacy with our enlightening course on Secure and Private AI. In an era where the analysis of sensitive data, from predicting cancer survival rates to evaluating educational success, demands not only innovative methodologies but also stringent privacy measures, understanding how to acces.
Udacity
Free Online Course
8 weeks
On-Demand
Generative AI, from GANs to CLIP, with Python and Pytorch
Join our comprehensive course on Udemy titled "Generative AI, from GANs to CLIP, with Python and Pytorch." This course is designed to take you on a journey through the fascinating world of generative AI networks. Whether you are starting out or looking to deepen your understanding, this course covers everything from the basics to more advanced conc.
Udemy
Paid Course
10 hours 34 minutes
On-Demand
Computer Vision for Embedded Systems
Explore the fascinating intersection of computer vision technologies like OpenCV and PyTorch with embedded systems including Raspberry Pi and Jetson in Purdue University's course offered through edX. This course delves into the challenges of deploying computer vision on resource-constrained embedded systems, introducing techniques such as quantizat.
edX
Free Online Course (Audit)
5 weeks, 7-8 hours a week
On-Demand
Create Machine Learning Models in Microsoft Azure
Title: Create Machine Learning Models in Microsoft Azure
Description: Machine learning forms the foundation for predictive modeling and artificial intelligence. In this course, you will learn both the underlying concepts and practical skills needed to build models using the most common machine learning tools. The curriculum covers core princip.
Coursera
Free Online Course (Audit)
13 hours
On-Demand
Deep Learning for Bioscientists
Elevate your research with deep learning Deep learning, a popular branch of machine learning, enables computers to process data like the human brain, using similar approaches to how we believe our brains process information, to help with solving complex problems and generating highly accurate insights. On this five-week course, you’ll develop esse.
Introduction to On-Device AI
Introduction to On-Device AI
As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device:
Explore how deploying models on devic.
Implement Named Entity Recognition with BERT
In this course, you'll learn about the state-of-the-art transformer technique called BERT, how to tag respective news domain entities to classify information, and how to get relevant insights about geo-political news using a deep learning library. Classifying information into multiple domain entities is crucial for an enterprise to garner key i.
Gen AI Foundational Models for NLP & Language Understanding
Gen AI Foundational Models for NLP & Language Understanding
This IBM course will teach you how to implement, train, and evaluate generative AI models for natural language processing (NLP). The course covers a variety of NLP applications including document classification, language modeling, and language translation. Learn the fundamentals of buil.
Generative AI and LLMs: Architecture and Data Preparation
Generative AI and LLMs: Architecture and Data Preparation
This IBM short course, part of the Generative AI Engineering Essentials with LLMs Professional Certificate, teaches you the basics of using generative AI and Large Language Models (LLMs). It is perfect for existing and aspiring data scientists, machine learning engineers, deep-learning en.
