What Degree Do You Need to be an AI Engineer

What Degree Do You Need to be an AI Engineer?

The advent of technology has completely changed the game for businesses, regardless of what industry they are in. Digital and modern demands are increasing, and companies are under pressure to meet the demands of the times. 

That or they stray behind their competitors and will be unable to drive their company forward — unless they innovate and adopt modern technology into their operations. 

With the advent of technology also came the need for professionals who can provide specific technical services that today’s companies need to thrive. 

One of the most in-demand careers now is in the world of artificial intelligence. Job opportunities for AI engineers have increased dramatically over recent years and are now up by over 119%. 

If you are considering a career in artificial intelligence, then you are in for a very prosperous job with a lot of growth opportunities. 

But before you can access that, you first need to get your degree. With regards to a career as an AI engineer, most companies require a bachelor’s degree in mathematics or computer technology. 

However, smaller companies are less picky and usually accept graduates of any related bachelor’s degree for an entry-level job. 

Educational Requirements Needed for an AI Engineering Career

A career in AI Engineering will involve a lot of technical matters. So in order to get a job in the industry, you need to be adept in math, sciences, and even engineering studies. 

Most companies, especially high-tier ones, require an educational degree in mathematics and computer sciences. Others require a minimum of related bachelor’s degrees. 

To be a viable candidate for an AI engineering job, you need an educational background in the following courses of study: 

  • Computer sciences 
  • Engineering
  • Mathematics
  • Physics
  • Robotics

Some computer engineering course graduates can also become great AI engineers. 

This is because they already have a solid background in basic AI concepts, as well as the soft skills needed to take on a highly technical and demanding job. 

Professionals like software engineers are already qualified for an AI engineering job. But some companies would require them to take short courses and boot camps to learn the basics of AI engineering. 

What You Can Expect to Learn 

There are a handful of schools that are already offering AI engineering degrees where you will learn the specifics in the industry and help you develop the soft skills needed to take on the job. 

AI engineering courses focus specifically on intelligent software, which is, after all, the core of artificial intelligence. An AI engineering degree will delve deep into machine learning, AI concepts, and data science. 

Some examples of courses that you will take in an artificial intelligence engineering degree include:

  • Introduction to artificial intelligence
  • Data science
  • Embedded and distributed AI
  • Industrial product realization and collaboration
  • Machine learning
  • Mathematics for intelligent systems
  • Product development 
  • Software product quality assurance

These courses can differ depending on the school you choose to enroll in. 

On the other hand, some other schools do not yet offer degrees that are specific to AI. But the basics of it are covered in computer science courses. These serve as solid backbones to an AI engineering career.

Should you decide to enroll in a computer science course, some things you can expect to cover throughout the course degree include: 

  • Algorithms and data structures
  • Basic programming
  • Operating systems
  • Fundamentals of computer science
  • Information theory
  • Principles of computer hardware
  • Software development and testing
  • Systems and architecture
  • Theory of computation
  • Web applications and databases

Some schools allow students to choose their specific specializations later in the school year, whether it be computer science, computer security, games development, software engineering, and artificial intelligence, among others. 

And if you are set on pursuing an artificial intelligence engineering career, it is highly recommended that you go for an AI specialization. 

A Career as an AI Engineer 

An AI engineer is a valuable asset to a company, especially one that is making efforts to meet the demands of the modern digital era. 

They are mainly responsible for developing, testing, and deploying artificial intelligence models, retrieving business insights through AI efforts, and utilizing AI to meet the company’s goals.

An AI engineer does have a very technical and complex job ahead of them. But like any profession, it’s a fulfilling one if you really like what you do. 

To give you an idea of your future endeavors, here are the responsibilities of an AI engineer:

  • Automate repetitive tasks through AI to improve productivity in the company 
  • Build programs and infrastructure for the retrieval, management, storage, and use of data
  • Build artificial intelligence models that benefit the organization
  • Conduct effective artificial intelligence development methods and procedures
  • Perform tests, analysis, and necessary improvements to create high-quality AI models and software for the company
  • Retrieve insights on AI performance to help higher ops make better business decisions

The Skills Needed to Become an AI Engineer

Mathematical understanding and knowledge

Math is the main crux of AI engineering. Hence, to be successful in the career, you need to have and develop this technical skill. 

There will be a lot of complicated math concepts involved in the career. It is ideal that a candidate is knowledgeable in the understanding and application of linear algebra, statistics, and calculus. 

Programming skills

Programming languages will be the name of the game when it comes to artificial intelligence. So a candidate needs to be knowledgeable in programming concepts and skillful in applying them.

Artificial intelligence, being a sector of machine learning, mostly makes use of Python as its main programming language. But being adept in R, Java, and C++ is also a huge advantage. 

Domain knowledge and understanding

A huge bulk of an artificial intelligence engineer’s job will be done on domains. So they definitely need to know everything about how a domain works and how to use it. 

AI engineers will also need to troubleshoot issues and repair domain platforms to eliminate risks and overcome problems while on the job. 

Communication skills

The process of creating an AI model or completing an AI project is not a one-man job. AI engineers do not work alone. They have to collaborate and coordinate with other professionals to complete the tasks at hand. 

Effective communication skills are non-negotiable when determining if a candidate is suited for the job. They should be able to clearly and fluently communicate all the technical and non-technical concepts. 

AI engineers also work closely with the sales and marketing departments, as well as executives. And in these cases, they should be able to understand the project so well that they can communicate it in layman’s terms to non-engineers. 

Conclusion

The field of artificial intelligence is continuously developing. More and more innovations are being created every day. 

That’s why companies are more eager in finding AI engineers who can help them achieve corporate goals. 

True enough, AI careers have exponentially sky-rocketed. And if you are considering pursuing this profession, there’s no doubt that job growth is at its peak. 

But in order to become successful, you need to take the right degree and develop the fundamental skills that will be demanded from you when you enter into the working class.

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