We recently reviewed some of the highest quality machine learning courses on Udemy. If you are interested in pursuing a career in this field, you may be currently weighing up the pros and cons of taking a relevant course.
As we have discussed here, are Udemy courses worth it?
Will an online course help you on your path to a machine learning career? Furthermore, is a career in machine learning a viable prospect in 2022?
We will answer all those questions and more in today’s article.
So if you are ready, let’s take a look…
The Growing Field of Machine Learning
You probably would have needed to be living under a rock to not hear that machine learning and big data are buzzwords in today’s business world.
Machine learning is a growing field with a huge amount of opportunity in 2022.
According to a report published by the job site Indeed.com, the number of positions between 2019 and 2020 increased by 344%.
Furthermore, the average salary of a machine learning engineer is a whopping $146,085.
And this is not limited to over-privileged, Ivy League alumni working in Silicon Valley.
A wide range of industries now utilizes machine learning (both in-house operations and contracting work), with the sector growing in locations throughout the US.
This, of course, has led to the high demand for skilled engineers. There is more work than there are qualified operators available.
With all this said, now is a great time to be taking a machine learning course and making moves to develop your skills in this area.
The advantages of taking a machine learning course in 2022
We’ve established that there are lots of opportunities in machine learning and that salaries are very competitive.
What other advantages are there for taking a machine learning course and pursuing this as a career?
- Related Content: How to Use Udemy to Boost Your Career Path
Positive Career Trajectory
We are still in the early stages of machine learning. It is a sector that is going to be important and relevant for many years to come.
If you get into machine learning at this nascent point, you can develop your skills as the technology matures, putting yourself into a position where your skills will be in demand for the entirety of your career.
Who doesn’t want that in their career for the foreseeable future?
There is a Machine Learning Skills Shortage
Another great reason to take a machine learning course is that the is a large skills shortage in this field.
You have a real chance to shine, (assuming you are ready to put the hours in to learn). If you follow point 1 above (develop your skills in line with the developing technology), you will find yourself in high demand throughout your career.
Machine learning provides wide career scope
Machine learning skills will open doors to other, high-demand career paths too.
Data science and big data are closely associated with machine learning, as are “hot” programming languages such as Python.
This will give you wide-ranging scope as progress in your career. This in turn makes for more dynamic and satisfying work life.
Challenging and rewarding
Both taking a course in machine learning and pursuing a career in the field will deliver challenging and rewarding experiences.
As you continue to develop your skills and work on various machine learning applications (that have real-world benefits), your level of job satisfaction will undoubtedly be high.
- Related Content: A Short Introduction to Machine Learning
Stable & Lucrative Career Path
Finally, we should reiterate the stable financial remuneration you can expect from a career in machine learning.
This is a sector that is only just getting started, with a lot of room to grow. This will keep the opportunities and demand for skilled engineers high.
This will also keep those salaries ultra-competitive.
If you take a machine learning course now, you will benefit from all of what we have described above. It makes me want to change career paths too.
An Alternative View – Why you shouldn’t take a machine learning course
The video above makes some valid points of why you shouldn’t take a machine learning course and pursue a career in the field.
While I do not share this view overall, it is good to get an opposing perspective.
The main points made are that machine learning isn’t for everyone, that you shouldn’t try to learn it just because the wages are high.
You should also have an idea about the area you would like to move in, once you have taken the course.