Yes. You can start learning pytorch on Coursera for free in two ways:

1. Preview the first module of many pytorch courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in pytorch, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn PyTorch effectively, start by selecting a course that matches your current skill level. Begin with foundational courses that cover the basics of Python and machine learning concepts. As you progress, engage in hands-on projects to apply what you've learned. Utilize online forums and communities to ask questions and share experiences. Consistent practice and experimentation will help reinforce your understanding and build confidence in using PyTorch.‎

Typical topics covered in PyTorch courses include the fundamentals of tensors, building and training neural networks, optimization techniques, and model evaluation. Advanced courses may explore specific applications such as computer vision, natural language processing, and reinforcement learning. Additionally, many courses emphasize practical projects that allow learners to apply their knowledge in real-world scenarios, enhancing both understanding and skill development.‎

For training and upskilling employees, courses like the Machine Learning with Scikit-learn, PyTorch & Hugging Face Professional Certificate are particularly beneficial. These programs provide a structured approach to learning essential skills in machine learning and deep learning using PyTorch. Additionally, the Deep Learning with PyTorch course offers practical insights that can be directly applied to workplace projects, making it an excellent choice for workforce development.‎