Free Coupon Mastering PyTorch - 100 Days: 100 Projects Bootcamp Training [100% OFF]

From Basics to Advanced Deep Learning Training

Free Coupon Mastering PyTorch - 100 Days: 100 Projects Bootcamp Training [100% OFF]

Take advantage of a 100% OFF coupon code for the 'Mastering PyTorch - 100 Days: 100 Projects Bootcamp Training' course, created by Vivian Aranha • 140.000 Students, available on Udemy.

This course, updated on April 29, 2025 and it is expired on April 30, 2025.

This course provides 2 hour(s) 30 minute(s) of expert-led training in English , designed to boost your Data Science skills.

Highly rated at 4.0-star stars from 49 reviews, it has already helped 14,163 students.

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The "Mastering PyTorch: From Basics to Advanced Deep Learning Training" course is a complete learning journey designed for beginners and professionals aiming to excel in artificial intelligence and deep learning. This course begins with the fundamentals of PyTorch, covering essential topics such as tensor operations, automatic differentiation, and building neural networks from scratch. Learners will gain a deep understanding of how PyTorch’s dynamic computation graph works, enabling flexible model creation and troubleshooting.

As the course progresses, students will explore advanced topics, including complex neural network architectures such as CNNs, RNNs, and Transformers. It also dives into transfer learning, custom layers, loss functions, and model optimization techniques. Learners will practice building real-world projects, such as image classifiers, NLP-based sentiment analyzers, and GAN-powered applications.

The course places a strong emphasis on hands-on implementation, offering step-by-step exercises, coding challenges, and projects that reinforce key concepts. Additionally, learners will explore cutting-edge techniques like distributed training, cloud deployment, and integration with popular libraries.

By the end of the course, learners will be proficient in designing, building, and deploying AI models using PyTorch. They will also be equipped to contribute to open-source projects and pursue careers as AI engineers, data scientists, or ML researchers in the growing field of deep learning.