Artificial Intelligence (AI) CertificateArtificial Intelligence (AI) CertificateArtificial Intelligence (AI) Certificate

Artificial intelligence will help power our digital future

Global business and commerce increasingly rely on artificial intelligence (AI) and machine learning to help identify trends and patterns, predict outcomes, enhance efficiency, and discover client and user insights. According to a report by Zion Market Research, the global machine learning market is projected to grow from $1.58 billion to nearly $21 billion between 2017 and 2024 — a compound annual growth rate of 44%.

The implications of AI are broad, and the potential is limitless — spanning almost every industry and yielding high-demand, high-paying career opportunities. In fact, one of the few things holding many businesses back from implementing machine learning solutions is difficulty finding skilled talent to run them.

At Maryville, we offer a 100% online, project-based artificial intelligence certificate designed to help you thrive in this field. If you want to build your fundamentals in AI and machine learning without committing to a full bachelor’s degree, this certificate can help you develop a foundational understanding of AI techniques and technologies such as Python and AWS. When you earn your AI certificate, you can prepare to take advantage of the many opportunities this field has to offer.

Apply with no application fees or entrance exams, and choose from 3 start dates

Build real-world skills through a dynamic, project-based curriculum that reflects emerging trends and technologies

Earn your certificate in as few as 6 courses (18 credit hours)

Access 100% online coursework with no campus visits required

Develop critical, in-demand skills in deep learning, machine learning, robotics, and more

Learn from a faculty of experienced artificial intelligence experts and industry leaders

Who should earn an online certificate in artificial intelligence?

Do you dream of turning your passion for computer programming and analytics into a rewarding career? Our online artificial intelligence certificate program might be the perfect solution to help you begin your education and career in AI.

Our program is designed to help you build fundamental skills in AI and machine learning without committing to a full bachelor’s degree. It’s dynamic and streamlined, so you can upskill for your current career or reskill to seek new opportunities. Then, if you choose to pursue further education, you can apply what you learned and the credits you earned toward a future bachelor’s in computer science.

Why earn your online AI certificate?

Artificial intelligence is a booming field with tremendous upside. According to Fortune Business Insights, the global AI market is on track to be worth $267 billion by 2027, and fields like machine learning, deep learning, and robotics stand to transform business and operations across a number of fields. According to a 2020 NewVantage report, 91.5% of top companies are invested in artificial intelligence to some degree.

We designed our AI certificate program to be accessible, dynamic, and quick. In as few as six courses, you can begin to build a fundamental understanding of issues, techniques, and opportunities in artificial intelligence and machine learning. With your certificate, you can pursue a career in this fast-growing field — or continue your education. Our courses are for-credit, so if you choose to pursue further education, you can apply what you learned toward a bachelor’s in computer science (up to 18 credit hours) or earn a second certificate from our computer science suite in as few as six additional courses.

Dynamic, affordable, and highly streamlined.

Get personalized support. Benefit from a dedicated student support team who can assist you from application through graduation and beyond.

Learn from a streamlined curriculum. Study in-demand important topics in AI and earn your certificate in as few as six classes.

Prepare for further credentials. Complete coursework that you can apply toward a bachelor’s degree in computer science, or earn a second certificate from our computer science suite with as few as six additional courses.

Gain real-world experience. Learn from a practical, experiential program that helps you build skills you can apply to your career immediately.

What can you do with your online AI certificate?

According to a 2018 survey by MemSQL and learning company O’Reilly Media, about 88% of companies surveyed said they have already implemented or plan to implement artificial intelligence and machine learning in their organization, and nearly three quarters see AI technology as potentially transformative for their industry. O’Reilly Media also notes that one of the main barriers for implementing artificial intelligence and machine learning technology is a lack of expert talent.

With your online certificate in AI, you can begin building your skills in this field and help your organization benefit from artificial intelligence solutions. Better yet, businesses recognize the enormous value AI brings, so you can qualify for a high-security, high-paying career. Our project-based AI program can help you build experience through practice as you study real-world scenarios and issues in the field.

What types of careers can I pursue?

When you earn your AI certificate, you can build the fundamental knowledge to pursue a broad spectrum of opportunities in nearly every industry. Financial firms, social media, entertainment platforms, tech startups, nonprofits, healthcare practices, fuel and energy providers, automobile manufacturers, and even farms take advantage of the insights and automation AI can provide.

As we rely more on digital communication and commerce, employers of all types will need qualified professionals in artificial intelligence to help them take advantage of the many benefits and opportunities the field can provide.

Put your AI certificate to work in a variety of settings, including:

  • Advertising and communication agencies
  • Energy and fuel providers
  • Farms and agriculture sites
  • Financial services firms
  • Hospitals and clinics
  • Insurance companies
  • Local, state, and government offices
  • Manufacturing plants
  • Marketing firms
  • Nonprofits
  • Supply chain operations
  • Tech startups

Entry-level career opportunities in AI include:

  • AI developer/specialist/engineer
  • Bioinformatician
  • Cognitive developer
  • Database architect
  • Data engineer
  • Data visualization developer
  • Image processing/imaging scientist
  • Machine learning developer
  • Natural language processing developer
  • Python developer
  • Robotics engineer

Where can your AI certificate take you?

Pursue high-salary careers

The global machine learning market is projected to break $20 billion by 2024, according to Zion Market Research. Future-focused businesses are making Artificial Intelligence initiatives a priority. While salaries may vary based on factors like experience, location, and education, your machine learning certificate can help you can qualify for high-paying jobs like AI programmer ($75,738)*, Python developer ($79,395)*, natural language processing scientist ($107,649)*, and database administrator/architect ($93,750)**.

*Average salaries based on self-reported data compiled by
**Median salaries based on 2019 data compiled by O*Net Online.

Be integral to a booming field

Computer and information technology careers in the United States are projected to grow by 11% from 2019 to 2029, nearly three times the average for all occupations.* But the outlook for careers related to artificial intelligence and machine learning could be even stronger. According to the advising firm Gartner, 37% of businesses used artificial intelligence by 2019, up 270% over the previous four years. Garter also notes as many as four in five emerging technologies could take advantage of artificial intelligence and machine learning in some capacity. With your AI certificate, you can be on the forefront of this quickly expanding field.

*Growth rates based on projections for 2019 to 2029 by the U.S. Bureau of Labor Statistics.

Help fill the talent gap

As demand for artificial intelligence experts rises, many positions go unfilled. Because there’s a shortage of qualified talent in AI, employers are struggling to find the right fit for the growing number of careers in this field. Some reports indicate that there may be millions of careers open worldwide in artificial intelligence — but as few as 300,000 qualified employees to fill them.* With your online AI certificate, you can begin building the fundamental skills to help you take advantage of the huge demand.

*Forbes, “The AI Skills Crisis and How to Close the Gap”

Why choose Maryville’s online artificial intelligence certificate?

Prepare to thrive with a skills-based education

Our online artificial intelligence certificate program is designed to teach you the skills and techniques to excel in the field. As a Maryville Online student, you can experience our dynamic and project-based curriculum, which is informed by current case studies in AI and updated to reflect emerging trends and technologies. In our program, you can work with cutting-edge technologies like Python and cloud computing through Amazon Web Services. Prepare for real-world opportunities with a dynamic education from experienced faculty, so you can apply your knowledge to your job in real time — or prepare to pursue a new career.

Maximize your education investment

When you earn your online AI certificate from Maryville, you can focus on the topics that can help you achieve your career goals. If you already have a college-level background in some of the areas the curriculum covers, you may be eligible to switch out up to two courses (6 credit hours) with the program electives to ensure you get the most out of your education. You can also apply coursework toward your bachelor’s in computer science from Maryville Online (up to 18 credits).

We’re continually recognized for excellence:

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Forbes America's Top Colleges 2019
Kiplinger Best College Values 2019
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Put our reputation to work.

Maryville University was founded in 1872 and has been helping brave, motivated professionals launch or enhance their careers with industry expertise ever since. Ninety percent of our full-time faculty holds a doctorate or terminal degree, and our software development and computer science faculty comprise experienced practitioners and experts in the field.

We’re proud of our reputation for quality academics, accelerated growth, and affordability, because it demonstrates our commitment to excellence.

Online certificate in data science curriculum*

Our online artificial intelligence certificate allows you to learn fundamental AI and machine learning skills in as few as six classes (18 credit hours). Our program is designed to help you grow your foundation in the subjects and skills employers value most, so you can qualify for a career in the field — or pursue further education.

Focus on skills important to the AI field

When you earn your AI certificate online with Maryville, you get a practical, project-based education informed by case studies in the field. We designed our curriculum to help you build real-world AI fundamentals in high-demand areas like natural language processing, machine learning, deep learning, robotics, computer vision, and applied linear algebra.

Build on your experience and maximize your education

Do you already have a background in AI, machine learning, or a similar field? Our certificate program can help accommodate your experience. You may be eligible to replace up to two classes with electives to focus on expanding your knowledge base with new skills — not rehashing old ones.

Expand your career potential with a second certificate

There’s a lot to explore in the field of computer science. That’s why we offer five separate certificate programs in some of the most high-growth, in-demand areas of this booming industry. Once you complete your AI certificate, you can round out your computer science knowledge by choosing to earn a second 100% online certificate in cybersecurity, data science, software development, or user experience and user interface (UX/UI).


  • This course assumes that the student is familiar with the fundamentals of algebraic concepts, expressions, equations, and inequalities. Topics include functions and their graphs; polynomial and rational functions; exponential and logarithmic functions; systems of equations and inequalities; partial fractions; operations with matrices; arithmetic and geometric sequences and series.

Core Courses (18 credit hours)

  • This course provides an introduction to the field of Reinforcement Learning with an emphasis on Deep Reinforcement Learning. Topics cover may include, but are not limited to: Markov decision processes, value-based methods, Deep Q-networks, policy-gradient methods, actor-critic algorithms, and multi-agent problems.

  • This course covers data types, statements, expressions, control flow, top Python core libraries (NumPy, SciPy, Pandas, Matplotlib and Seaborn) and modeling libraries (Statsmodels and Scikit-learn). Project based learning is used to help students develop effective problem solving skills and effective collaboration skills. Cross-Listed: DSCI-503

  • This is an introductory course in machine learning intended primarily for students majoring or minoring in Mathematics, Data Science or Actuarial Science. This course may also be useful for those using predictive modeling techniques in business, economics or research applications. The main focus of this course is to understand the basic operations and applications of what we currently call machine learning. This course will cover material from several sources. A few main topics that will be covered include: how machine learning differs from traditional programming techniques, data manipulation and analysis, some basic coding skills and an introduction to some of the tools available for data scientists. Specific application techniques will include the following (as time permits): data acquisition, classification, regression, overfitting, supervised and unsupervised training, normalization, distance metrics, k-means clustering, error calculation, optimization training, tree-based algorithms (including random forests), frequent item sets and recommender systems, sentiment analysis, neural networks, genetic algorithms, visualizations, and deep learning (including an introduction to convolutional neural networks and generative adversarial networks). Cross-Listed: DSCI-508

  • This course is an introduction to deep learning with an emphasis on the development and application of advanced neural networks. It covers convolutional neural networks, recurrent neural networks, generative adversarial networks, and deep reinforcement learning. Project based learning is used to help students develop effective problem solving skills and effective collaboration skills.

Electives (Choose 2)

  • This course covers text analytics, the practice of extracting useful information hidden in unstructured text such as social media, emails and web pages using Python. Topics include working with corpora, transformations, metadata management, term document matrices, word clouds, and topic models. Project based learning is used to help students develop effective problem solving skills and effective collaboration skills.

  • This course covers introduction to robotics, applications of robots, return-on-investment, abstract models, controlling robot motion, complex motion, robotic sensors, input/output, external sensors, threads, event programming, remote communication, remote sensing, behavior programming, and human/robot interfaces. Students will gain hands-on experience with emerging robot technologies, understand industrial applications of robots, and ramifications of human/robot interaction.

  • This course provides students with an introduction to the theory and practice of computer vision – the practice of analyzing visual images from the world. This course will cover a wide range of computer techniques and problems that address “how we make computers see”.

  • This one semester course is designed to introduce the students to the fundamental concepts underlying the study of linear algebra. Topics include matrix algebra; systems of linear equations; vector spaces and subspaces; basis and dimensions; orthogonality; determinants; eigenvalues and eigenvectors; diagonalization of matrices; and linear transformations.

*To ensure the best possible educational experience for our students, we may update our curriculum to reflect emerging and changing employer and industry trends.

Ready for your next step?

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Take your education further with your online Bachelor of Science in Computer Science

While your artificial intelligence certificate can help you qualify for a great career in areas involving machine learning, robotics, and computing, a bachelor’s in computer science can establish you as a true leader in the field. If you choose to continue your education, we can help you earn your bachelor’s degree more quickly.

Our AI certificate program features college credit coursework, so you can apply the 18 credit hours you earned toward your bachelor’s degree. Get a head start and save time as you build an even greater understanding of artificial intelligence and computer science.

Want to learn more about how your Bachelor of Science in Computer Science can help you take your AI certificate further? Schedule a call with an advisor and discuss the benefits for your career.

Apply to the online AI certificate at Maryville University.

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