How to become an AI engineer
Today, companies rely on AI for many tasks, including data management, business processes, cost reductions, and decision-making. As a result of the increasing reliance on these technologies, there is a growing demand for AI engineers. Read on to learn more about what AI engineers do, as well as the educational and training requirements needed for this career.
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What does an AI engineer do?
If you decide on a career as an AI engineer, you'll be responsible for developing, implementing, and managing systems for data analysis, application development, machine learning, and more.
This includes the following:
- Algorithm design
- Data processing management
- Chatbot creation and maintenance
- Machine learning development and administration
- Systems and network setup and supervision
But there's more to being a successful AI engineer than programming, app designs, and data management. You should be a problem solver and critical thinker. You also need to be a strong communicator and willing to collaborate with others.
Steps to become an AI engineer
To help increase your chances of becoming a high-earning AI engineer, consider following these steps:
Step 1: Earn an undergraduate degree
The first step toward a career as an AI engineer is to enroll in a science-specific (bachelor of science) or technology-specific (bachelor of technology) undergraduate program. Expect to spend about four years learning foundational knowledge about AI and engineering during your bachelor's studies.
Other undergraduate degree options include computer science, information technology, or mathematics.
Step 2: Earn an advanced degree in artificial intelligence
Having one of the above-mentioned undergraduate degrees can help get your foot in the AI career door. Going on to earn an advanced degree can provide you with more skills and opportunities. An advanced degree can also help your career by:
- Allowing you to specialize
- Increasing your earning potential
- Helping you stand out from the competition
When researching master's in artificial intelligence degrees, focus on programs that include machine learning, deep learning, programming languages, and algorithm development.
Step 3: Consider earning an AI engineering certificate
Many schools and technology companies, such as Google, Microsoft, IBM, and Nvidia, offer AI certifications. An AI engineering certificate can complement your graduate education by further demonstrating your knowledge in a particular specialty.
Step 4: Gain real-world experience
Learning about AI in the classroom or online is important. Equally essential is knowing how AI functions daily in a company or organization. Corporate or university internships can provide on-the-job training.
In addition, find a skilled mentor to guide you on your educational and career paths.
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