What is Artificial Intelligence Engineering?

While you’re learning new programming languages and mathematical skills to grow in your professional role, you’ll also want to focus on developing your soft skills. These skills are harder to quantify, but they’ll be crucial to your success in any technical role. Artificial intelligence engineers are in great demand and typically earn six-figure salaries. An individual who is technically inclined and has a background in software programming may want to learn how to become an artificial intelligence engineer and launch a lucrative career in AI engineering. Typically, an AI engineer should have a bachelor’s degree in computer science, data science, mathematics, or a related field. Advanced roles may require a master’s or doctoral degree specializing in AI or machine learning.

Engineers use these software development tools to create new programs that will meet the unique needs of the company they work for. Purdue is our #1 pick for a great artificial intelligence school with strong computer science degrees. The school also has an artificial intelligence research program that includes more than two-dozen faculty. If you have your heart set on attending one of the best universities for artificial intelligence out there, then you should look at University of Tennessee at Knoxville.

How to Become an AI Engineer [Career Guide]

One common work environment for AI engineers is tech companies and startups that specialize in AI development. Here, the atmosphere is often fast-paced and innovative, offering opportunities to work on cutting-edge artificial intelligence engineer degree projects and collaborate with other AI experts. These workplaces are driven by a passion for pushing the boundaries of AI technology and creating groundbreaking solutions that can impact various industries.

Falling under the categories of Computer and Information Research Scientist, AI engineers have a median salary of $136,620, according to the US Bureau of Labor Statistics (BLS) [4]. By 2030, AI could contribute up to $15.7 trillion to the global economy, which is more than China and India’s combined output today, according to PricewaterhouseCoopers’ Global Artificial Intelligence Study [2]. This projected growth means organizations are turning to AI to help power their business decisions and increase efficiency. Learn more about the Aero-System Operations (AESOP) program at the University of Cincinnati.

Preparatory Fast Track for Non-CS Students

This experience with the cockpit and flight simulators was invaluable to Mnich, whose goal is to become a pilot and fly planes. His MET undergraduate experience paired with his time in France learning more about the structural maintenance of aircraft is quickly preparing him to achieve this goal. Government agencies and defense organizations also employ AI engineers to work on applications such as national security, healthcare, and public services. In the finance and banking sectors, AI engineers contribute to fraud detection, risk assessment, and algorithmic trading. Similarly, AI engineers play a vital role in the healthcare and biotech industries, working on medical imaging analysis, drug discovery, and personalized medicine. UM-Flint’s Master’s in Artificial Intelligence program immerses students in the lectures captured in our unique cyber classroom experience through an advanced robotic audio-video recording system.

Students spend the fall semester of the dual degree program in France studying aeronautical maintenance, the spring semester in Cincinnati studying aerospace engineering, and the summer semester completing an internship. When Mnich arrived in France, he spoke little to no French and had not yet met any of his classmates, but he embraced the unknown adventure in front of him. “My whole life I’ve worked on cars and dirt bikes and stuff like that, so the hands-on portion of mechanical engineering technology was really valuable to me,” Mnich said.

Javier Viaña Pérez started his studies in mechanical engineering earning two degrees in his native Spain and then came to the University of Cincinnati for his master’s and Ph.D. in aerospace engineering. He has racked up a long list of accomplishments, including creating a high-resolution camera for microsatellites that is currently in use on the International Space Station. His doctoral research in artificial intelligence is dedicated to making a radical shift in how we think about AI. He was named UC College of Engineering and Applied Science Graduate Student Engineer of the Month. The highly advanced curriculum is designed to deeply explore AI areas through multiple concentrations. Students will engage in an extensive core intended to develop depth in all the core concepts that build a foundation for artificial intelligence theory and practice.