20 Best Artificial Intelligence Schools for College Students

Use this guide as a resource to help you get on the right path and find your way into the AI industry. AI comprises multiple subfields, including machine learning, which is one of the ways computers acquire their intelligence. AI research scientists, machine learning scientists, and engineers search for solutions to problems, new approaches, and new technologies. The ever-changing and expanding field keeps AI engineering dynamic and impactful. Preparing for the interview requires practice and preparation, especially for tech jobs like AI engineer.

Core courses will dive into deep learning, machine learning, big data and data science, and feature engineering. What hiring managers are looking for is some formal education in a related field. And then you can highlight any additional courses related to AI that you took in college or online that supported your learning. At the core, the job of an artificial intelligence engineer is to create intelligent algorithms capable of learning, analyzing, and reasoning like the human brain.

Take on projects, practice skills, and build your portfolio.

The functions of a professional certification depend on the credential. While no mandatory licensure or certification is required for AI engineers, a professional certification can significantly improve a candidate’s employment and advancement opportunities. They demonstrate the credential-holder has substantial training, experience, and a solid grasp on the material.

During the program of study, you learn through team-based projects to build the collaborative and problem-solving skills needed to be an effective team member and leader. Other general skills help AI engineers reach success like effective communication skills, leadership abilities, and knowledge of other technology. Other disruptive technologies AI engineers can work with are blockchain, the cloud, the internet of things, and cybersecurity.

Jobs you can pursue with a master’s in AI

Students can expect to take 6 hours of bridge courses, 15 hours of core courses, and 12 hours of in their chosen concentration. From aerospace to music, the Skillsoft IT Skills and Salary survey found these are the top-paying industries for IT professionals. Artificial intelligence (AI) has jumped off the movie screen and into our everyday lives. From facial recognition technology to ride-sharing apps to digital smart assistants like Siri, AI is now used in nearly every corner of our daily lives. In addition to analyzing information faster, AI can spur more creative thinking about how to use data by providing answers that humans may not have considered. We can expect to see increased AI applications in transportation, manufacturing, healthcare, sports, and entertainment.

• For more information feel free to visit the program website.Graduates will be able to design and apply intelligent systems in areas such as.
• Earning a degree can lead to higher salaries, lower rates of unemployment, and greater competitiveness as an applicant.
• They get access to the Center for Intelligent Systems and Machine Learning.
• Ensure any computer science or engineering programs have received accreditation from the Accreditation Board for Engineering and Technology (ABET).

Earning your master’s degree in artificial intelligence can be an excellent way to advance your knowledge or pivot to the field. Depending on what you want to study, master’s degrees take between one and three years to complete when artificial intelligence engineer degree you’re able to attend full-time. Even within these industries and specializations, the AI engineer role can vary. They may work as research scientists in AI, robotics engineers, program developers, or machine learning scientists.