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Recently, we explored what machine learning engineers do and we also wrote about how to become a machine learning specialist. Here we’ll explain how you can develop the skills and knowledge needed to launch your career in machine learning.
If you’d like to get a job as a machine learning expert or AI engineer so you can help play a critical role in developing the next generation of cutting-edge technology, then this post is the perfect place to begin.
We’ll explain how to learn machine learning best practices, covering the options for doing it yourself, via on-the-job training, or studying within a traditional degree program, explaining the pros and cons of each approach to help you make the right decision.
After you’ve learned about how to gain the skills and knowledge needed to break into the industry, fill out our information request form to receive additional details about CSU Global’s 100% online Master’s Degree in AI and Machine Learning, or if you’re ready to get started, submit your application today.
There are three typical strategies for learning the skills you need to become a machine learning specialist, and the course you choose to take should depend on your own specific needs and career goals.
The three standard options you’ll have for studying machine learning are:
Let’s evaluate each of these three potential paths to inspect their pros and cons, and to show you how to determine which option will work best for you.
You can develop the skills needed to become a machine learning professional yourself, but this is likely to be a difficult path for anyone looking to launch a career in the field.
Why? Because while it’s possible to study machine learning by reading books and relevant blogs, completing free online courses, and sitting in on machine learning webinars, it’s unlikely that you’ll be able to build real expertise in the discipline without anyone overseeing your learning process.
Accordingly, you may save money compared to enrolling in a degree program, but you run the risk of studying outdated information, failing to properly understand the principles and best practices you’re introduced to, and simply failing to build the correct knowledge and skills needed to succeed in this competitive industry.
The problem with trying to learn it on your own is that you won’t have anyone to supervise your learning process, provide feedback on your skills, or point you in the right direction if you get the wrong idea about something, making this the riskiest way to build your machine learning expertise.
Finally, even if you are able to develop also the required knowledge and skills needed to be a successful machine learning engineer, your lack of educational credentials and actual industry experience are likely to be a major hindrance to finding a good job.
Simply put, while it’s possible to teach yourself machine learning, we don’t recommend attempting that approach.
You might be able to pick up machine learning skills via on-the-job training, and this would be a much better option than trying to do it on your own because this path should include at least some supervision by someone who is themselves an industry expert.
Having a mentor that you can rely on to show you the ropes and provide feedback on your work, as well as answers to your questions, would be a critical asset for developing your expertise in the field.
If you’re able to find an organization that offers on-the-job training, then we suggest you take that offer, because it’s a great opportunity to develop a competitive, valuable, and difficult skillset that most employers simply won’t offer.
The best benefits to on-the-job-training programs are that they should include assistance and oversight from an expert, they don’t cost you anything, and may even come with a salary, making them an excellent option for picking up machine learning skills.
However, while the prospect of learning on the job sounds great, the odds of actually find a position like this are exceptionally rare since organizations are typically going to hire employees who already have the background knowledge, skills, and abilities to serve as a machine learning specialist.
While you may be the lucky person who does find an on-the-job training program, we think it’s far more likely that you’ll need to pursue the more common, more traditional, but incredibly effective strategy for building machine learning skills; enrolling in a degree program at an accredited school.
Yes, in fact, the best way to learn the skills you need for a career in machine learning is to enroll in a degree program where you’ll be supported by the full range of resources that can only be provided by an institution of higher education.
Completing a degree in machine learning is by far the best way to ensure that you’ll be able to develop the skills and knowledge needed for launching a successful career in this ultra-competitive industry.
Getting your degree from a school that has a reputation for properly preparing students to become successful machine learning specialists is also important, as that will ensure that your credentials are respected by the hiring managers you come across when applying for jobs.
If you’re serious about starting a career in machine learning, then our recommendation is to enroll in an accredited, respected degree program, like CSU Global’s online Master’s Degree in AI and Machine Learning program.
CSU Global’s online Master’s Degree in AI and Machine Learning will teach you everything you need to know to thrive in a cutting-edge, high-tech role.
The primary aim of the program is to develop your skills for solving real-world business problems using machine learning and AI-driven technical solutions.
You’ll graduate from our program and enter the job market fully prepared to provide value to any organization from day one, having learned to:
Our program’s curriculum also provides direct experience working with the latest deep-learning libraries, including Tensorflow, and includes work to develop your proficiency in coding in Python.
Finally, we include coursework that will give you real-world experience designing and deploying advanced machine learning technologies for a variety of applications, including solving problems in healthcare, manufacturing, oil, and gas and the automotive industry as well.
In short, completing CSU Global’s Master’s in AI and Machine Learning program is the best possible way to prepare yourself for a successful career in the field.
Yes, completing a Master’s Degree in Machine Learning is worth the time and cost required, as it’s a valuable investment in yourself and your future.
The skills and knowledge you develop during your master’s program will set you up for long-term success in this innovative, challenging, and competitive field.
Furthermore, the academic credentials you gain by completing your master’s program will prove that you’ve developed the necessary skills and abilities required to serve as a successful machine learning specialist, making it much more likely that you can land a good role in the field.
If your goal is to establish a career in machine learning, and you want to enter the workforce with the confidence to pursue higher-level roles, including roles in management and leadership, then you should certainly consider completing your M.S. in AI and Machine Learning online at CSU Global.
No matter what role you choose to pursue after graduating, completing our master’s program is likely to help improve your marketability as it demonstrates you have the dedication, passion, and commitment needed to be a successful machine learning expert.
CSU Global’s online Master’s program in AI and Machine Learning will qualify you to pursue employment at a variety of different types of organizations, including private or public corporations, nonprofit organizations, and state or federal government agencies.
After earning your Machine Learning Master’s Degree, you can expect to find a role helping develop cutting-edge, next-generation computing technology, while handling responsibilities like:
When you graduate from our Master’s Degree program, you’ll be fully prepared to launch a career pursuing some of the best roles in the industry, including positions like:
Keep in mind that you will be able to pursue far more roles than the three mentioned above, as this is just an abbreviated list of typical job titles.
Yes, you should consider completing your Master’s in Machine Learning online, especially if you have a busy schedule due to other responsibilities, like work or family duties.
CSU Global’s accelerated online program is the perfect solution if you need a program that will work around your schedule, as we provide far more flexibility than traditional in-person degree programs.
In fact, our flexible online program will make it much easier to juggle your educational pursuits with existing work and family responsibilities, as we provide:
If you’re looking to get your degree, but you need a flexible program and schedule that allows you to study wherever and whenever you want, then you will definitely want to consider getting your degree online with us.
If you’re serious about pursuing a career in the exciting and growing field of machine learning, then our online M.S. in AI and Machine Learning program should top your list of potential options.
This program is regionally accredited by the Higher Learning Commission and widely respected by industry professionals, while CSU Global itself is recognized as an industry leader in online education, having recently earned:
Finally, to ensure that your education is affordable, we also offer competitive tuition rates and a Tuition Guarantee that promises your tuition rate won’t increase from enrollment through graduation.
To get additional details about our fully accredited, 100% online Master’s in AI and Machine Learning program, please give us a call at 800-462-7845, or fill out our Information Request Form.
Ready to get started today? Apply now!
