Current
Beginner
Introduction to Deep Learning with PyTorch
DataCamp · DataCamp · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
4 hours
Classes
16
Build deep learning models with PyTorch. Cover neural network fundamentals, training loops, CNNs, and sequence models.
What you'll get
Build neural networks with PyTorch
Train models with backpropagation
Implement CNNs for image tasks
Build sequence models for text data
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Experts seeking deep specialization
Prerequisites & pricing
Prerequisites
Python and basic ML knowledge
Pricing
$25/month subscription
Certification
Certificate
Growth Leverage: Completing this course enables individuals to qualify for roles such as Machine Learning Engineer, Data Scientist, or AI Specialist. With expertise in PyTorch, graduates can also pursue certifications like TensorFlow Developer or deepen their qualifications with advanced deep learning programs.
Skills Value: The skills acquired can command a salary premium, with Machine Learning Engineers earning an average of $120,000 annually. Employers seek these abilities to develop advanced AI applications, solve complex image and text processing problems, and drive innovation in data-driven projects.
PyTorch
Deep Learning
Neural Networks
CNN
Python