Luis Serrano, PhD
ML Engineer and Quantum AI Research Scientist
Intro to Deep Learning with PyTorch
Learn the basics of deep learning, and build your own deep neural networks using PyTorch, an open source machine learning library used for applications such as NLP and Computer Vision.
- Course
- 4.6 (51)
- Updated: Mar 7, 2022
Free Course
Intro to Deep Learning with PyTorch
Prerequisites
0 prerequisites
No prior technical experience required.
You will need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 9 lessons
Program Instructors
5 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Alexis Cook
Curriculum Lead
Soumith Chintala
Instructor
Cezanne Camacho
Curriculum Lead
Mat Leonard
Senior Data Engineer, Octave
Luis Serrano, PhD
ML Engineer and Quantum AI Research Scientist
Alexis Cook
Curriculum Lead
Soumith Chintala
Instructor
Cezanne Camacho
Curriculum Lead
Mat Leonard
Senior Data Engineer, Octave
Reviews
Average Rating: 4.6 (51 Reviews)
Fantastic course! The lessons on control variables, experiment design, and practical analysis tools are extremely clear and helpful for real-world business applications.
K
Kgomotso Mohlala
Aug 17, 2026
good nice recommended
M
Mehfooz Mohammed
Jul 30, 2026
he A/B testing course offered a highly structured and practical curriculum. The real-world scenarios and experimental setups were perfect for understanding data metrics and variable controls. Highly recommended for analysts looking to improve their data-driven product decisions
A
Aulia Ismanto
Jun 20, 2026
Excellent course! It perfectly bridges the gap between statistical theory and real-world business applications for analysts.
M
Mmapelo Mokhonoana
Jun 4, 2026
PERFECT TO LEARN
l
lereng moroeng
May 30, 2026
Free Course
Intro to Deep Learning with PyTorch