Table of Contents
Is machine learning the best career?
Yes, machine learning is a good career path. According to a 2019 report by Indeed, Machine Learning Engineer is the top job in terms of salary, growth of postings, and general demand. Part of the reason these positions are so lucrative is because people with machine learning skills are in high demand and low supply.
What is machine learning DevOps?
Machine learning DevOps (MLOps) is an organizational change that relies on a combination of people, process, and technology to deliver machine learning solutions in a robust, scalable, reliable, and automated way.
How to become a successful DevOps Engineer?
A successful DevOps engineer must learn to juggle between different tasks like coding, integrating, and testing. If you set out to build a career in DevOps, your career path in DevOps can see you start as a Release Manager, then move up to DevOps Test Engineer, DevOps Cloud Engineer, and finally, a DevOps Architect.
Is it the right time to learn DevOps?
Concepts like Agile, Scrum, DevOps, and CI/CD have taken over the digital economy. The demand for DevOps experts across various roles is witnessing a steady spike. If you are interested in developing a flourishing DevOps career, the time is now to get training in these increasingly valuable skills.
What are the best resources for learning DevOps?
Simplilearn, as one of the world’s leading providers of online training in DevOps, offers full-stack online DevOps courses that can effectively help you to realize your big IT dreams and jump-start your career in DevOps.
Is there a lack of skilled talent in DevOps?
However, there is a lack of skilled talent because though a career in DevOps is rewarding, it is also challenging. At the most basic level, it requires full ownership of one’s roles and responsibilities and one’s capability to innovate as a technical solution provider.