All current PyTorch Courses courses in 2024
49 Courses
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.
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.
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.
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.
Intro to PyTorch and Neural Networks
Intro to PyTorch and Neural Networks
Ready to start your journey into Neural Networks and PyTorch? In this course, you will learn how to create, train, and test artificial neural networks in PyTorch, one of the most popular deep learning frameworks in Python. You will learn about common loss functions and optimizer algorithms while building work.
Codecademy
Free Trial Available
1 hour
On-Demand
Data Science: Modern Deep Learning in Python
Data Science: Modern Deep Learning in Python
Master the latest deep learning techniques using cutting-edge libraries such as Tensorflow, Theano, Keras, PyTorch, CNTK, and MXNet. Accelerate your training processes by leveraging GPU power on AWS.
Categories:
Python Courses
Deep Learning Courses
Neural Networks Courses
TensorFlow Courses
Ke.
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