Build Your First Model with PyTorch and Python PyTorch Tutorial for Beginners

Course Overview

This course is designed to help beginners learn how to build their first model with PyTorch and Python. It covers the basics of setting up a notebook, exploring data, creating a model, turning data into Tensors, making predictions from an untrained model, training the model, and exploring predictions. By the end of the course, learners will have a better understanding of how to use PyTorch and Python to build their own models.

By taking this course, learners will have a better understanding of how to use PyTorch and Python to build their own models. This knowledge can be applied to a variety of career paths, such as data science, machine learning, artificial intelligence, and software engineering. Learners can also use this knowledge to pursue further education in these fields, such as a master's degree in data science or a certificate in machine learning.

To further their knowledge of PyTorch and Python, learners can take additional courses on topics such as deep learning, natural language processing, and computer vision. They can also explore other Python libraries such as NumPy, SciPy, and Scikit-learn. Additionally, learners can practice their skills by participating in online coding challenges and hackathons.