Current
Intermediate
Learn the Basics
Meta AI (PyTorch courses) · PyTorch · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
Self-paced
Classes
15
Step-by-step guide to a complete ML workflow in PyTorch, from data to training and saving models.
What you'll get
Build and train a basic neural network
Load data and optimize model parameters
Save and reuse trained models
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Basic Python and deep learning familiarity
Pricing
Free
Certification
No
Growth Leverage: Completing 'Learn the Basics' positions you for roles such as Machine Learning Engineer, Data Scientist, or AI Developer, opening pathways to advanced certifications like TensorFlow or PyTorch specialization. It lays a foundation for positions focused on building and deploying machine learning models across various industries.
Skills Value: Skills learned can address critical business challenges such as predictive analytics and automation, making candidates attractive for employers; the average salary for entry-level machine learning roles starts at $90,000, with significant demand in tech sectors fueling high market value.
PyTorch
Deep learning
Workflow