All current PyTorch Courses courses in 2024
71 Courses
Data Science: Modern Deep Learning in Python
Immerse yourself in the world of data science with our course on Modern Deep Learning in Python. Designed for both beginners and experienced practitioners, this course offers a comprehensive exploration of cutting-edge deep learning methods using popular Python libraries like TensorFlow, Theano, Keras, PyTorch, CNTK, and MXNet.
Leverage the.
Udemy
IBM AI Engineering
Coursera
AI technology is anticipated to expand by 37.3% by the year 2030, according to Forbes. The IBM AI Engineering Professional Certificate, offered through Coursera, equips data scientists, machine learning engineers, software engineers, and technical specialists with skills to excel as AI engineers.
Throughout the program, participa.
Coursera
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
Embark on a transformative learning experience with our PyTorch Ultimate 2024 course. Begin with a solid foundation, understanding the key topics and objectives, and seamlessly transition through machine learning essentials and deep learning principles. From setting up your environment to master.
Coursera
Introduction to RNN and DNN
Introduction to RNN and DNN
Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs and.
Coursera
RNN Architecture and Sentiment Classification
Title: RNN Architecture and Sentiment Classification
Description: Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exerci.
Coursera
Mastering Neural Networks and Model Regularization
Mastering Neural Networks and Model Regularization
The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with r.
Coursera
Foundations and Core Concepts of PyTorch
Foundations and Core Concepts of PyTorch
In this comprehensive course, you'll embark on a journey through the foundational elements and core concepts of PyTorch, one of the most popular deep learning frameworks. Starting with a detailed overview and system setup, you'll be guided through installing and configuring your environment t.
Coursera
Udacity
Udacity
Generative AI Engineering with LLMs
Generative AI Engineering with LLMs
The Generative AI (Gen AI) market is anticipated to grow by 46% yearly until 2030 (Source: Statista). As a result, Gen AI engineers are in high demand. This program equips aspiring data scientists, machine learning engineers, and AI developers with vital skills in Gen AI, large language models (LLMs), and natu.
Coursera
Fundamentals of AI Agents Using RAG and LangChain
Fundamentals of AI Agents Using RAG and LangChain | Coursera
Business demand for technical gen AI skills is exploding, with AI engineers skilled in working with large language models (LLMs) being highly sought after. This Fundamentals of AI Agents using RAG and LangChain course prepares you with job-ready skills to advance your AI career.
In t.
Coursera
PyTorch for Deep Learning
PyTorch for Deep Learning
Learn PyTorch and become a proficient Deep Learning Engineer. This PyTorch course is a step-by-step guide designed to help you develop your own deep learning models. The curriculum includes essential topics such as Computer Vision, Neural Networks, and much more.