Here's Peter Norvig arguing that you shouldn't: Teach Yourself Programming in Ten Years https://www.norvig.com/21-days.html The article is about programming, specifically about books etc advising you on how to learn programming in ten days etc, but it totally applies to Deep Learnign also. Deep Learning is an enormous discipline. In the current point in the hype cycle, there are literally thousands of papers publishe…
I started Deep Learning Specialization in Coursera: https://www.coursera.org/specializations/deep-learning last month and almost finished it, but I realized this field requires a lot of expertise, not something you can learn in a month. What I learned in the courses was just a basic topics in Deep Learning and how to use Numpy, TensorFlow and Keras.
I was considering diving into a Data Science job and started that specialization as a starting point, but I just realized how foolish I am. Chances are I'll find a job, but it definitely takes another 10 years/10,000 hours to master this discipline.
Anyway, the specialization is wonderful and Dr.Ng explains complicated Deep learning topics in a way that is understandable for everyone. So if just learning is what you want, you should take it, but I don't think you are prepared for a real world Data Science job after finishing it.