PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer. AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition, natural language processing, and predictive analytics. During this course, you鈥檒l learn about 2-D Tensors and derivatives in PyTorch. You鈥檒l look at linear regression prediction and training and calculate loss using PyTorch. You鈥檒l explore batch processing techniques for efficient model training, model parameters, calculating cost, and performing gradient descent in PyTorch. Plus, you鈥檒l look at linear classifiers and logistic regression. Throughout, you鈥檒l apply your new skills in hands-on labs, and at the end, you鈥檒l complete a project you can talk about in interviews. If you鈥檙e an aspiring AI engineer with basic knowledge of Python and mathematical concepts, who wants to get hands-on with PyTorch, enroll today and get set to power your AI career forward!