Practical Machine Learning with Python & PyTorch

Train and deploy deep learning models into production

Bestseller

0.0

(0 ratings)

347 students

Created by Alex Rivera

Last updated Oct 2026 English Beginner

What you'll learn

Master PyTorch tensors, autograd mechanics, and GPU acceleration

Train convolutional networks for image classification tasks

Understand transformer attention foundations and embeddings

Deploy trained models to production via ONNX and FastAPI

Course Content & Curriculum

1 sections • 2 lectures • 0.5 hours total length

PyTorch Tensor Operations & Broadcasting

Watch Preview 14:00

Linear Regression & Autograd Deep Dive

Locked 18:20

Requirements

Basic Python programming experience
Foundational linear algebra (vectors and matrix multiplication)

Description

Hands-on neural network training, CNNs for computer vision, transformer basics, and ONNX deployment pipelines.

Learn how to take deep learning models from prototyping in PyTorch to real-time production inference.

Instructor

Alex Rivera

AI Research Engineer & Cloud Specialist

★ 4.9 Instructor Rating 👥 12,500+ Students 🎓 1 Courses

Alex is a machine learning researcher and cloud consultant who has trained and deployed large-scale vision and language models across enterprise environments.