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Data Science

Deep Learning & Neural Networks with PyTorch

Master deep learning from the ground up with PyTorch. Covers CNNs, RNNs, Transformers, GANs, and state-of-the-art architectures. Build and deploy computer vision and NLP models to production.

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65 hours totalEnglishCertificate of completion
Michael Chen

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Michael Chen

Deep Learning & Neural Networks with PyTorch
$109.99

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4 chapters of content
65 hours on-demand video
Full lifetime access
Access on mobile and desktop
Certificate of completion

What You'll Learn

Build real-world production-ready projects
Master modern development workflows and best practices
Understand core concepts and theory behind the technology
Implement authentication, authorization, and security
Deploy and scale applications to the cloud
Write clean, maintainable, and well-tested code
Debug and optimize performance issues
Land a high-paying job in the industry

Course Curriculum

4 chapters • 1 free previews

1. PyTorch Fundamentals & Tensors
Free
2. Building Neural Networks with nn.Module
3. Convolutional Neural Networks for Vision
4. Transformers & Attention Mechanisms

Your Instructor

Michael Chen

Michael Chen

Expert Instructor

Data Scientist and ML Engineer at a Fortune 500 company. Author of 3 books on machine learning and AI.