A Complete Guide to Becoming an AI Engineer

AI adoption

Automated software and artificial intelligence are rapidly becoming one of the fastest growing industries. As the technology develops and becomes more and more sophisticated and functional, it will start to be introduced to an increased number of industries for various purposes.

This means a wealth of new jobs will start to appear across the world, one of these being an AI engineer, a rather balanced job where physical labour and an academic mindset is required to succeed. Have you been looking at AI engineer jobs and think it’s something you’d love to do?

Today, we’re going to explore the journey you’d need to take to get from here to a fully-qualified AI engineer in employment.

Research the Industry

Since the industry is evolving and accelerating in its development, you’ll need to do your research to see what is currently available and what the current situation of the industry is. The AI business is a diverse one and with so many new technologies, there may be a tonne of opportunities that you’ll only discover once you conduct this search.

You’ll also need to research how AI works and what solutions are available for what kind of businesses. For example, online AI may mean automated email services and collecting data on customers to market to them effectively.

On the other hand, AI could be introduced into factories and production plants to increase production rates and to streamline existing processes. Make sure you research these areas, so you can become knowledgeable on the subject.

Learning the Required Skills

It goes without saying that entering the AI industry is going to require some training, typically in the form of education and degrees. However, there are a few areas you can research in order to qualify as an AI engineer.

While the most popular would be Computer Science and Programming, other courses you might be interested in including Probability and Statistics, Data Modelling and Evaluation or more advanced courses, such as Machine Learning Algorithms and Libraries or Software Engineering and System Design.

“Of course, this will depend on the courses that are available in your area, but it pays to shop around. If you’re happy to move to a location where these courses are offered, you may have to do so. Otherwise, it might pay to look online to see which digital courses are available in these areas,” shares Paul Duncan, a career coach for UKWritngs.

Applying for Job

Once you’ve completed your education, it’s time to start applying for jobs. Since your education could take up to five years, with a typical course lasting around three, you may need to conduct more research into the industry to see what’s available.

During your time in your course, you may be subject to work experience placements which you could contact for a job if you excel it in, but this is also an experience you can put in your resume.

The resume is perhaps one of the most important parts of this process, since it will be the first impression you have with an employer, and these developing companies are only going to want to hire the top talent which is why it’s so important to get it right.

To help you with your resume writing process, online tools like ViaWriting, Boomessays (read Boomessays review) and Essayroo can help.

Keep Updating Your Knowledge

As I’ve mentioned several times, the industry is rapidly involving, and there are always going to be new and exciting things for you to learn about. Regardless of what stage you’re in in your AI engineer journey, it’s important that you keep your knowledge up-to-date, so you know exactly what’s going on and can be prepared for anything that’s going to happen.

You can do this by subscribing to relevant newsletters and websites that will provide you with the latest stories, following relevant influencers on social media, such as Facebook, and in particular, LinkedIn.

This will give you all the knowledge you need to succeed in your quest to becoming an AI engineer.

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