The best of the best badass hackers and security experts are using machine learning to break and secure systems. This course has everything you need to join their ranks.
In this one-of-its-kind course, we will be covering all from the fundamentals of cybersecurity data science, to the state of the art. We will be setting up a cybersecurity lab, building classifiers to detect malware, training deep neural networks and even breaking CAPTCHA systems using machine learning.
If you've tried to enter the super hot field of cybersecurity and machine learning, but faced rejection after rejection, needing experience to get experience, feeling hopeless that the demand and pay are so high, but nothing you are doing is letting you in, this is your chance to gain an edge over the competition. This is your chance to get credentials and real experience.
If you are looking to break into the field of cybersecurity data science, pick up on the bleeding edge tools, and become the best in the field of cybersecurity, this course is for you.
We will be using python and scikit learn for majority of our machine learning, and keras, a wrapper for tensorflow, for deep learning. This course is hands on and practical. Consequently, a student is expected to put in the work and not be shy about getting their hands dirty with some malware!
If you still haven't chosen to enroll, you might be thinking:
- What if this course sucks. I don't want to take another boring course. If you find the course boring, no worries. Quickly press the pause button and get your money back using the 30-day money-back guarantee. Send me a message after letting me know my course is boring and I'll try to make future content more interesting.
- Do I need to know stuff about cybersecurity? Because I don't. Nop. I'll teach you everything you need to know. You don't need to know jack-squat about cybersecurity.
- I'm not very good at coding in Python. You can find the code repo for this course in my github repo. I'll be walking you through this code and you can play around with it on your own. But if it's still looking too complicated, no worries, come back once you've leveled-up your Python chops.
- What if I am stuck on understanding something. Who is going to help me? I don't know anyone who knows this stuff. If you have a question about the course, use the Q&A and I promise to answer your question. I have a 100% response rate so far and I plan on continuing it.