Deep learning continues to be the hottest thing in data science. Deep learning frameworks are changing rapidly. It is often taught in a bottom-up manner, requiring that you first get familiar with linear algebra, calculus, and mathematical optimization before eventually learning the neural network techniques. This can take years, and most of the background theory will not help you to get good results, fast. Instead, a top-down approach can be used where first you learn how to get results with deep learning models on real-world problems and later learn more about how the methods work.
Dinesh recommends the following next steps: