Top 8 AI Programming Languages

Constantin Macri 09/05/2023 | 00:11

The rise of chatbots like ChatGTP has proved that artificial intelligence is the future of the tech industry, and in short order, many of the devices we use every day will use A.I. to make decisions without us. A.I. may be an exciting field, but in order to take full advantage of what you can gain from working in artificial intelligence, machine learning, or computer science, you need to know what programming languages you’ll need to master in order to secure a high paying position and the best career options. As you likely already know, almost 9,000 programming languages have been developed, of which somewhere between 250 and 2,500 are in wide use. No one can master all of these different languages, so you need to be selective about those you will learn, choosing those that will give you the best chance of success. Nevertheless, it’s also important to note that you can always learn another language, so your success isn’t just dependent on what you know but also on the experiences, creativity, and skills you gain from the learning process.

The Best Programming Languages for AI You Should Know

In this article, we’ll list the eight programming languages that are most important in the field of A.I. and machine learning. These are the languages that employers want their programmers to know and the languages that are most likely to get your foot in the door when applying for high-paying jobs in the A.I. and machine learning fields.


The most important language currently in use in machine learning and A.I. fields is Python. As a simple but powerful language, it serves as the foundation for much of A.I. Indeed, many programmers have done a cost-benefit analysis to show that using Python speeds up the development process without sacrificing the object-oriented, functional, and procedure-oriented programming support necessary for efficient coding. Additionally, freelancers working in Python often earn high salaries because they are able to work quickly, complete projects fast, and make more money faster.

R Language

Another popular choice in the A.I. and machine learning fields is R, a language often used by those specializing in the evaluation, analysis, and manipulation of statistical data. When you use R, you can produce a publication-read plot, complete with equations and mathematical formulae. Because R is highly adaptable, it’s frequently found being deployed in general purpose programming. But that same versatility also makes it great for A.I. because of packages such as RODBC, Gmodels, Class, and Tm that make implementing machine learning algorithms easy.


While not as famous as some of the other languages on our list, Lisp is older than most, having been invented back in 1958. Knowing Lisp can be valuable if your job involves working with legacy systems. Imagine, for example, the value you would bring to an organization when you are the only person who knows how to program for an older system. Lisp has a number of benefits that continue to have relevance in the twenty-first century. It’s very good at prototyping and allows for the easy dynamic creation of new objects while automatically cleaning up garbage. Lisp’s development cycle makes it easy to interactively evaluate expressions and recompile functions in an active program.


Perhaps most popular in the medical field, where its flexibility and power are highly valued, Prolog has many applications beyond the healthcare industry. It’s also great for A.I. Prolog specializes in pattern-matching by using a tree-based data structure and automatic backtracking. It’s a great arrow to have in your quiver as an A.I. specialist.


Of all the programming languages you might use in the A.I. field, Java is the most likely to help you in your career because it is the most widely used programming language in the world and can be deployed in many other contexts beyond A.I. Its versatility makes it extremely popular, and it can be used to dovetail with algorithms, artificial neural networks, and other relevant aspects of A.I. Because it is flexible, it’s an excellent choice for large-scale projects, and it can also help to bridge between different applications and programs, allowing for more interaction and collaboration.


A classic. While it’s more of a low-level language, it’s also perfect for A.I. models in production. C++ is renowned for its performance and efficiency, making it an ideal choice for implementing AI models in production environments where resource constraints and speed are critical. Moreover, its extensive library support and interoperability with other languages enable seamless integration into existing systems. As a result, many AI developers continue to rely on C++ for deploying robust, high-performance applications that stand the test of time. 


A newer language, Julia is quickly rising in the A.I. field because of its powerful graphics for data visualization and its dynamic interface. Julia’s high-level, easy-to-read syntax and impressive computational capabilities make it an attractive option for AI researchers and developers. Its ability to smoothly interface with existing libraries in languages like C and Python further expands its appeal, as it can be seamlessly integrated into existing projects. With a growing community and ongoing development, Julia is poised to become an increasingly popular choice for AI professionals seeking both performance and ease of use in their programming toolkit. 


As a purely functional programming language, Haskell is highly efficient at memory management. This efficiency in memory management allows Haskell to minimize resource consumption and reduce the likelihood of common programming errors, such as uninitialized variables or null pointers. The strong type system and mathematical foundations of Haskell make it well-suited for complex algorithms and data manipulation tasks, often found in AI and machine learning projects. Additionally, its focus on immutability and referential transparency fosters code clarity, enabling developers to create maintainable and reliable applications with fewer bugs.

Wrapping Up about AI Programming Languages

When you are ready to start studying a programming language, it can be difficult to choose the best one for you. However, when you make your choice and start taking a course in your language of choice, you should know that there are people standing by to help when you need to get your homework done fast. Many students will ask, “Can business students like me pay someone to do my programming homework for me?” The great news is that many services have experts on hand who can do coding assignments and show students like you the best way to code in any of the top languages used in the artificial intelligence world. These experts can help with your toughest assignments because most reputable homework services use programmers who have advanced degrees in computer science or information systems and have years of experience producing flawless code in a variety of languages. 

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