5 Most Preferred Programming Languages for AI Engineers

Summary: For AI engineers, the best programming language depends on the project’s needs. This blog highlights the 5 popular programming languages for AI Engineers.  Some of the popular options include Python, R, JavaScript and others.

Introduction 

As Artificial Intelligence projects become increasingly sophisticated, the demand for AI Engineers increases. So, which programming languages are favoured by AI engineers today? Read on to find out!

Artificial Intelligence and data-driven technology are booming industries with a bright future ahead. Therefore, the demand for Artificial Intelligence and Machine Learning engineers and data scientists is growing at a rapid rate. 

As a result, aspiring AI engineers should choose their programming language carefully to build a successful career in the growing field of Artificial Intelligence.

In this article, we will discuss the most popular AI programming languages used in projects and their potential applications in the near future. The popular programming languages discussed below are in 2023. 

5 Programming Languages: AI Engineers’ Top Picks

The world of AI is abuzz with innovation, but the foundation lies in code. Delving into this realm, we explore the top 5 programming languages favoured by AI engineers. Each offers unique strengths. Let’s unlock the secrets behind these powerhouses and discover which one might be the perfect fit for your next AI project. 

1. Python Programming Language

Python is one of the most commonly used programming language in the Machine Learning industry. Many data scientists and programmers use it due to its flexibility and simplicity. It is used by many tech giants such as Facebook, Google, Amazon, Netflix, Uber, and Instagram to develop various software applications for their startups and corporations.

Due to its popularity among developers, it is widely used for building new applications, chatbots, and various tools and scripts for performing tasks in Python code.

Some examples of applications that have been built using Python include Instagram and Pinterest apps, Shopify e-commerce stores, Quora and other Q&A websites, and YouTube analytics dashboards. Although Python is easy to learn for beginners, it has a very steep learning curve that requires a lot of time to master.

This is why most experts and seasoned developers prefer to use more “advanced” programming languages such as C++ or Java instead.

However, it is still a good choice for beginners who are new to the field of computer programming. It is also a great choice for non-programmers who are interested in learning the fundamentals of programming and working on simple AI-related projects in Python code.

Pros:

The most widely used programming language in ML

Versatile and easy to use

Has a vast library of built-in modules

Small learning curve compared

Cons:

Does not offer the advanced security features

Limited support for parallel processing

Not suitable for large-scale projects

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2. Java Script Programming Language

JavaScript is one of the most popular programming languages used by data scientists for the development of Artificial Intelligence and Machine Learning systems. It is used for a wide range of different purposes, such as building web apps, mobile applications, and desktop applications.

It is also used to implement various features in modern web browsers like Google Chrome, Microsoft Edge, and Mozilla Firefox. Its popularity stems from the fact that it is easy to learn and straightforward to use.

Furthermore, it is supported by all the major web browsers, which means that there is no need to worry about compatibility issues when developing websites with JavaScript code.

Developers can combine JavaScript with other programming languages to create powerful web applications without having to write complex code from scratch. This means that novice programmers can start developing their apps and websites and progress to more complex development tasks as they gain experience in the field.

Pros:

Easy to learn and use

Extensively supported by all major web browsers

Suitable for a wide range of different types of applications

Cons:

Doesn’t offer the level of security 

It may not be powerful enough to handle large and complex projects

It is not suitable for working with mobile devices

3. SQL Programming Language

SQL is another programming language commonly used to develop artificial intelligence and machine learning applications. Unlike PHP and JavaScript, which are widely used for developing different kinds of web applications, SQL is mainly used for writing database queries.

This language enables you to extract data from relational database management systems and manipulate it programmatically to carry out specific tasks related to your application. Therefore, if you want to build an application that uses data from a database, it is best to choose SQL as your programming language of choice.

One of the main advantages of using SQL is that it is very easy to learn and understand compared to other programming languages such as C++ or Java.

As a result, you can quickly start coding and building applications for data manipulation and analysis without worrying about the steep learning curve associated with them. Take up a Data Science course online in order to become a professional expert in SQL. 

Pros:

Simple and easy to use

Allows users to extract data from relational database management systems.

Easily integrates with other programming languages such as PHP and JavaScript

Cons:

Can be difficult to master because of its technical nature.

Difficult to master because of complex syntax

Lack of support for modern features such as object-oriented programming

Less widely used than other programming languages, such as PHP and JavaScript

Requires extensive coding experience in order to use it effectively

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4. R Programming Language

Finally, another programming language that you can use to develop Artificial Intelligence and Machine Learning applications is R. This language is primarily used in data analysis for predictive modeling and data mining applications.

The syntax of R is very similar to Python, which makes it relatively easy for beginners who have no prior programming experience to learn.

Once you become familiar with the basics of this language, you can move on to more advanced development tasks. This includes building interactive web apps that collect data from users and analyze their data to provide users with useful recommendations to improve their user experience.

Pros:

Better performance than other languages

It is supported by different platforms

Numerous libraries are numerous and easy to use

Very little syntax is required

Cons:

Difficult to find developers for certain jobs 

5. GoLang Programming Language

GoLang is a statically typed programming language that is frequently used for the development of mobile applications. It has several built-in libraries that can help you speed up the development process and improve the performance of your apps without compromising on functionality.

It is an open-source language that is completely free to use. Therefore, if you are looking for a programming language that you can use to develop apps for mobile devices, you should definitely consider learning GoLang.

Some of the main advantages of using this language include performance optimization, easy code readability, and high security levels. You can also apply a combination of different frameworks to improve the functionality and efficiency of your apps even further.

Pros:

Performance Optimization

Easy Code Readability

High-Security Levels

Support for Cross-Platform Development

Easy to Learn and Debug, Open-source

Widely Used in the Development of Mobile Apps.

Cons:

Slower compilation time compared to other languages

Lack of object-oriented features

A limited number of libraries and debugging tools

To sum up!

The best programming languages for AI engineers are Python, R, and GoLang because of their ease of use and portability. AI engineers generally prefer to learn and use these languages rather than other programming languages like Java and C++.

Furthermore, the rapid growth of the AI industry is likely to increase the demand for these programming languages in the coming years.

You should be aware of the job trends in Artificial Intelligence to develop your skills faster and become one of the industry experts.  If you are looking to launch a career in AI, you should learn one of these programming languages to become an AI engineer yourself.

Frequently Asked Questions

Is it Beneficial to Learn Multiple Programming Languages for AI?

Absolutely! AI is a vast field, and different languages excel in different areas. Having a diverse skillset allows you to tackle a wider range of projects and adapt to the ever-evolving landscape of AI development.

Can I use JavaScript to build AI projects?

Absolutely! JavaScript’s versatility extends to web-based AI and interactive applications. Frameworks like TensorFlow.js allow you to train and run AI models directly in web browsers, making it a great choice for creating user-facing AI experiences.

Why is Python so Popular in AI?

Python’s easy-to-learn syntax and vast ecosystem of AI libraries like TensorFlow and PyTorch make it perfect for rapid prototyping and development. It’s a great choice for beginners due to its readability, but it’s also powerful enough for complex projects undertaken by experts.