Does Wharton AI Course Offer Good Future Career?

Wharton AI Course

It’s 2022, and Artificial Intelligence technology has already made its way into almost all industries, from gaming to healthcare. AI and machine learning are changing the way jobs are done, making them more efficient and innovative. While every job and its requirements differ, you can still benefit from the Wharton AI course.

Artificial Intelligence is soon becoming the field gaining rapid popularity among businesses and investors alike. So it makes sense that AI would have a promising future, opening many career opportunities in various areas. So if you’re interested in learning AI and are wondering what job you might get after, this article is for you.

Career Opportunities After Getting Trained In AI

In today’s job market, we not only have a lot of AI roles in various fields, but you will also find roles in which individuals work closely with AI professionals. So, if you want to increase your knowledge in AI, you must apply for the Wharton AI course.

Once you’re done with the training, you might need proper career guidance in AI, so these are some of the best options for working with AI:

Research Scientist

Research scientists are responsible for conducting research regarding machine learning applications. Research scientists have to deal with machine learning constantly, so they need to have that skill mastered.

Other Artificial Intelligence skills that help a research scientist are mathematics, statistics, and deep learning.

According to Glassdoor, a research scientist in the US earns $1,00,966 per year.

AI Engineer

AI engineers are not that different from software engineers. Where software engineers design, develop, and test software applications using traditional methods, AI engineers do the same with Artificial Intelligence.

All of the AI infrastructures are handled by AI engineers, who develop applicable AI models using their AI knowledge and machine learning algorithms.

According to Glassdoor, an AI engineer in the US earns $1,20,330 per year.

Big Data Engineer

Creating and maintaining efficiency in the ecosystem of businesses is one of the primary responsibilities of a big data engineer. They handle an organization’s huge data. So tasks relating from building data to administering it, all these tasks become part of the big data engineer’s role.

They are expected to use all their knowledge and experience in data and analyze, sort, and convert the data into plausible outcomes using robust methods.

According to, the role of a lead big data engineer earns an annual salary of $171,259 in the US.

Business Intelligence Developer

A business intelligence developer is responsible for considering business acumen along with Artificial Intelligence. They also deal with a lot of data sets. Analyzing all kinds of data, they conclude the top business trends. The results are accurate and reliable because the AI is fed with stimulated data before the analysis.

This ensures that the brand image, recognition, and awareness align with the brand’s goals.

According to, a business intelligence developer earns a salary of $93,149 per year in the US.

UX Designer

AI is not something that goes on behind the scenes. On the contrary, many users have dealt with AI firsthand, so it only makes sense that this technology can be used to enhance the user experience for a product or service.

AI is used in UX design to make the user’s experience more friendly and to help customers understand the buying process more efficiently.

According to Glassdoor, a user experience designer in the US earns $1,21,404 per year.

The Learning Path Followed In Wharton AI Training

Now that you know the future career options that lie in front of you can go ahead and apply for the AI training course with Wharton University.

This is what your journey will look like:

Orientation Session

The perfect way to introduce you to the course and all the topics it will cover is by conducting an orientation session. Then, you will get a walkthrough of the entire AI course, including some introductions from your professors.

Foundational Topics

While all the basics of AI, like machine learning and big data, will be covered, you will also learn to actually handle and interpret big data. In addition, you will learn to derive accurate results using various methodologies.

AI For Various Industries

Industries in which AI plays an important role will be discussed. For example, AI applications in marketing, finance, and human resources enhance the user experience. So you will learn to build AI-powered applications in these industries.

AI-Driven Transformations

Finally, you will learn how to transform businesses using AI and survive in this competitive market.


No matter the industry, you will work with AI at least once in your career. AI has great potential and scope in the upcoming job market, and all tech and non-tech professionals must get training in AI.

For any further information, clarification, or career guidance related to the topic, feel free to call us: 1800-212-7688.

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