Top engineering degrees for working in artificial intelligence

As an AI engineer, you will need to communicate your ideas with numerous other engineers and developers. Therefore, communication skills and management of employees come in handy while trying to work on a project. So while you’re solving math equations to prepare for your career, make sure you do it with people around you.

Furthermore, knowledge of algebra and statistics will help you to develop and implement various AI and Machine Learning models. Machine learning engineers — who have developer backgrounds — design machine learning algorithms to create products. Data scientists must investigate and analyze algorithms needed for business solutions. Machine learning (ML) engineers use data to design applications and systems that address business problems.

How to Become a Machine Learning Engineer

AI engineering requires the understanding of top machine learning algorithms, such as linear regression, and deep learning algorithms, such as recurrent neural networks, and how to utilize them using a framework. AI engineering involves a wide range of activities, from designing and building algorithms to training machine learning models, to developing software and hardware systems that can support AI applications. AI engineers also work to deploy and maintain AI systems, ensuring that they can operate at scale and deliver meaningful insights and results. Artificial intelligence and machine learning are creating immense opportunities across every industry. A degree in electrical and electronic engineering will give you the knowledge and skills to work with the technology that shapes our everyday lives, in the fields of energy and information. From electrical circuits and systems to bioelectronics, data science and signal processing, a degree in this field of engineering can give you the academic and practical skills to thrive in the artificial intelligence industry.

Surrounded by the beauty of the Pacific Northwest, you’ll thrive in an enriched learning environment. You’ll find the flexibility to take courses in AI as well as other disciplines relevant to your research interests. And, with the depth and breadth of Oregon State’s other world-class programs, you’ll have the opportunity collaborate researchers in a wide variety of areas, from agriculture to zoology. Pursuing a career in AI is pervaded with abundant opportunities and high-income margins compared to many other tech-driven jobs. As of 2021, the global Artificial Intelligence market is valued at USD 93.5 and is projected to expand at a compound annual growth rate (CAGR) of 38.1%.

How To Become An AI Engineer

Programming languages such as Java, Python, and C++ help machine learning engineers perform their jobs. Another vital step on your AI career progression is the strengthening of your software development and programming skills. This includes having a solid grasp of programming languages (Python, R, techniques, math, applied algorithms, linguistic processing and deep learning systems. A master’s curriculum in this field builds proficiency in crucial areas like the ethics of AI, problem-solving, machine learning, computer programming, natural language processing, and robotics.

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