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AI developers are innovative professionals who are dedicated to designing, developing, and implementing AI models and systems in the company or organization. To create software, AI developers utilize programming skills and algorithms that can be derived from the data and help in making accurate predictions. Many applications were developed by them, including self-driving cars, voice recognition by Siri and Hey Google, and recommended algorithms operated by Netflix and Amazon. AI developer role is not only dedicated to coding but also includes research, creativity, and troubleshooting. If you are interested in settling your career as an AI developer, you need to learn programming languages. Let's have a brief discussion about specific programming languages that an AI developer must know to achieve success.
Nowadays, Python has become a captivating and widely used language in the programming industry and is also renowned as a beginner's language. Python is one of the power tools for data analytics, and every AI developer learns this course as their first programming language upon graduation. According to HackerRank, it is one of the most popular in-demand programming languages in the present markets. Coders and data analysts cherish Python for its workability, intuitive design, and elasticity. It can be used with numerous machine-learning and AI-concentrated programs and helps you finish your systems soon.
Ample software developers use Java, a significant language that has become common in mobile apps, where operations are tapping into artificial intelligence functionalities. Compared to other programming languages, Java is quite simple and supports multi-platform installations with its "write-once, runs anywhere" model. This programming language offers numerous advantages involving simple debugging for AI developers. On the Deeplearning4j GitHub, numerous examples depict the library's operations and provide guidance to users on coding with its tools.
Every AI developer needs to learn C++, a programming language renowned for its speed and effectiveness. This language allows developers to write code quickly, and it is a good choice for several neural networking applications. It is not only utilized as a primary language for AI applications but also utilized across the programming industry. However, the only drawback of this language is that it includes complexity in the writing process.
One of the examples of C++ for AI-focused applications includes the library OpenCV, which supports multiple programming languages, and computer vision libraries are accessible. This library provides an extensive user guide for AI developers to speed up the program.
Maximum programming languages require two or more programming languages to elevate performance and minimize the application's complexity. The first version of Julia was introduced in 2018 and has been spreading its wings in the programming industry. According to HPCWire, the percentage of downloads for the programming language rose to 87% from 2020 to 2021. Julia's artificial intelligence applications have been growing gradually. This programming language is mainly used in scientific computing and data analysis and supports parallelism.
