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Graduate certificates in AI and ML have exploded in popularity in recent years. Our directory of U.S. programs contains nearly 200 on-campus, hybrid & online offerings from regionally accredited universities in almost every state. But how do you know which one is the most relevant for your career goals? And how can you be sure that the AI and ML coursework will be applicable to real-world scenarios?
Our practical guide to graduate certificates in AI is designed to give you the answers! Use our rankings of the 15 best online graduate certificates in artificial intelligence to learn about the hallmarks of a top-notch academic program. Compare the pros & cons of alternative qualifications like micro-credentials. And discover how a certificate could be the sensible first step to a master’s degree.
Key Findings
- 10 of the top 15 programs in our rankings of the best online graduate certificates in AI live within a School of Engineering or Computer Science. That’s good news for professionals who are looking for an AI qualification that covers both theory and applications.
- The price of graduate certificates in AI can range from $5,000 to almost $30,000. Technical and engineering-focused certificates in artificial intelligence tend to be more expensive than foundational and business certificates in AI.
- Almost every university has developed master’s degree pathways for students who complete a graduate certificate in AI. However, you will need to determine how many credits will be eligible for transfer to which degree.
What are Artificial Intelligence Graduate Certificate Programs?
A graduate certificate in AI allows busy working professionals to build upon their undergraduate knowledge and practical experiences, developing and refining in-demand skills in AI, machine learning, statistics, deep learning, and associated topics. AI and ML grad certificates from universities are designed to be efficient, with 3-5 courses that can be completed in a short burst of a few months or spaced out over 1-2 years. In many cases, you can choose to apply your certificate credits to a master’s degree in AI or a related field later down the track.
It’s important to note that graduate certificates in AI are not the only qualifications out there. There are a large number of popular alternatives with similar sounding names, including professional certificates that are ineligible for academic credit. So take the time to chat to mentors about your career goals and browse through our advice sections and rankings of the best online graduate certificates in AI before you make a decision. Certificates are designed to be “stepping stones” to more ambitious goals.
Rankings Methodology
At MastersAI.org, we are determined to find you qualifications that give you a superb return on investment (ROI). That means our rankings of the 15 best online graduate certificates in AI are based on the same factors we used to evaluate the best online master’s programs in artificial intelligence. Namely:
- Relevance: For these rankings, we focused on credit-bearing graduate certificates in AI or machine learning (ML) from regionally accredited universities. We excluded add-on certificates (only available to current graduate students), professional certificates (not eligible for academic credit), and certificates from Extension Schools.
- Quality: Graduate certificate programs earned an algorithmic boost if their schools ranked highly in U.S. News & World Report for the fields of AI, Computer Science, Theoretical CS, Engineering, or Statistics. Our algorithm also considered faculty research output in AI, machine learning, and related fields. So it’s no surprise to see Stanford sitting at #1 in our 2025 rankings!
- Price: We compared each program’s total tuition to all other online AI offerings and assigned it an affordability score. That’s where the University of Texas at Austin had a slight edge over Johns Hopkins University in 2025.
- ROI: We analyzed student completion rates to determine whether programs delivered on their promise of graduating AI professionals. Schools with strong completion data received a boost. Our algorithm also incorporated graduate earnings potential after 1 year and again at 2–3 years.
All of the graduate certificates in our rankings can serve as standalone qualifications that you can list on your résumé. In addition, we’ve outlined potential pathways to master’s degrees under each profile. You’ll notice that some graduate certificates in AI have a foundation of computer science; some are designed for engineers; and some are business-focused. Use our detailed descriptions and “Strong Pick For” suggestions to quickly create a viable shortlist.
15 Best Online Graduate Certificates in Artificial Intelligence
1 Stanford University – Stanford, CA
Overview | Online Graduate Certificate in Artificial Intelligence
- Strong Pick For: Technical Coursework; AI Research Projects; Prestige Factor; Pathway to MSCS
- School: Stanford School of Engineering
- Format: 100% Online
- Credits: 13-16 Units
- Program Length: 1-2 Years
Program Summary
Stanford University’s Online Graduate Certificate in Artificial Intelligence from the Stanford School of Engineering is a challenging, time-intensive program that’s heavy on technical studies. You’ll be expected to complete 1-2 courses in artificial intelligence principles & techniques and/or machine learning. Then you can choose 2-3 electives from a huge range of topics in AI subsets. This includes deep learning, reinforcement learning, computer vision, robotics, NLP, and more. Graduate certificate students at Stanford are known as non-degree option (NDO) students. NDO students are not admitted into a “program.” Instead, your application will be evaluated each time you sign up for a course. You must earn a grade of B or better in each course to continue your studies.
Why Study AI Online at Stanford?
Stanford is one of the best of the best in AI! It’s home to the Stanford Artificial Intelligence Lab (SAIL) and its industry affiliates and it’s world-renowned for its academic vigor. This is a graduate certificate for folks who really want to sink their teeth into AI—a number of the courses feature case studies and in-depth research projects. You’ll need to check each course description to learn if you’re eligible to apply. In general, candidates are expected to have a bachelor’s degree with a minimum 3.0 undergraduate GPA and a solid understanding of programming, discrete math, probability theory, and calculus & linear algebra. Up to 18 units earned as an NDO student can be applied to a master’s degree at Stanford. We’d recommend Stanford’s Online Master of Science in Computer Science (MSCS) – Artificial Intelligence.
Note: Stanford also offers a non-credit bearing Online Professional Certificate in Artificial Intelligence for those who don’t need an academic qualification.
Learn More About AI at Stanford
2 Carnegie Mellon University – Pittsburgh, PA
Overview | Online Graduate Certificate in Machine Learning & Data Science Foundations
- Strong Pick For: Large Number of Foundational & Advanced AI Certificates; Career Networking; Prestige Factor
- School: School of Computer Science
- Format: 100% Online
- Credits: 36
- Program Length: 12 Months/1 Year
Program Summary
Choice is the name of the game at Carnegie Mellon University! For this profile, we’re highlighting the Online Graduate Certificate in Machine Learning & Data Science Foundations. But CMU offers a number of more advanced online graduate certificates in AI engineering and LLMs (see below). The curriculum for the ML & data science graduate certificate features five credit-bearing courses. The first four courses in machine learning and Python for data science are 6 units; the course in foundations of computational data science is 12 units. You’ll spend one semester on this final course, acquiring skills in solution design, analytic algorithms, interactive analysis, visualization techniques, and data science applications. There are no electives, but CMU encourages interactions through a mix of live, online classes and asynchronous learning activities.
More Online Options
- Online Graduate Certificate in Generative AI & Large Language Models (School of Computer Science)
- Online Graduate Certificate in AI Engineering Fundamentals (College of Engineering)
- Online Graduate Certificate in Advanced AI Models for Engineering (College of Engineering)
- Online Graduate Certificate in AI Engineering – Digital Twins & Analytics (College of Engineering)
- Online Graduate Certificate in Managing AI Systems (Heinz College of Information Systems & Public Policy)
Why Study AI Online at CMU?
Carnegie Mellon is a massive name in AI—the university is home to scores of AI-focused centers & institutes, the School of Computer Science is deep into AI research, and the College of Engineering is leading the way in areas like self-driving laboratories. See the section on AI at CMU for more info. Then visit each online graduate certificate page to learn more about admissions requirements. Candidates for the ML & Data Science program should have a bachelor’s degree in STEM or a related field; proficiency in advanced math & programming; and—ideally—relevant work experience (internships are acceptable). Like Stanford and Duke, CMU is one of the most expensive schools in our rankings. And it doesn’t offer an online MS or MEng in AI (just on-campus programs). So you’d be earning this certificate as a skills-focused, standalone credential.
Learn More About AI at CMU
Explore CMU’s Online Graduate Certificate in ML & Data Science Foundations
3 University of Washington – Seattle, WA
Overview | Online Certificate in Artificial Intelligence and Machine Learning for Engineering
- Strong Pick For: Working Engineers; Stackable Credential; Manufacturing, Chemical Processes & Robotics Sectors
- School: College of Engineering
- Format: 100% Online
- Credits: 16
- Program Length: 9 Months
Program Summary
The University of Washington’s Online Certificate in Artificial Intelligence and Machine Learning for Engineering is a 9-month program that’s designed for working engineers who wish to apply modern AI and ML methods to their field. It’s an especially strong choice for engineers working in industries such as manufacturing, chemical processes, and robotics. See the admissions section for details on ideal candidates. The curriculum consists of courses in foundations in AI & ML engineering, applied linear algebra or data-driven optimization, and physics-informed machine learning, as well as a practical AI & machine learning project and two credits of a seminar or electives. To accommodate busy students, courses are primarily asynchronous.
More Online Options
- Online Graduate Certificate in AI/ML-Driven Molecular and Process Engineering (Department of Chemical Engineering)
Why Study AI Online at UW?
UW offers this online certificate in a stackable format. That means you can earn it as a standalone credential or combine it with other online & on-campus graduate certificates in the College of Engineering to earn a Master of Science in Artificial Intelligence and Machine Learning for Engineering. The list of eligible certificates for the MS includes the online Graduate Certificate in AI/ML-Driven Molecular and Process Engineering and the in-person Graduate Certificate in Modern Artificial Intelligence Methods from the Allen School. The MS program was launched in 2025, so it’s still finding its feet. But UW Engineering is a prestigious name on the West Coast, with plenty of AI institutes & centers in fields such as neurotechnology, dynamic systems, and robotics.
Note: UW also offers an Online Certificate in Machine Learning through UW Professional & Continuing Education. However, this is not eligible for academic credit.
Learn More About AI at UW
4 University of Texas at Austin – Austin, TX
Overview | Online Graduate Certificate in Artificial Intelligence and Machine Learning
- Strong Pick For: Technical Coursework; Affordability; Aspiring AI & ML Engineers
- School: Department of Computer Science & Engineering; Department of Statistics & Data Science
- Format: 100% Online
- Credits: 12
- Program Length: 4-16 Months
Program Summary
The University of Texas at Austin’s Online Graduate Certificate in Artificial Intelligence and Machine Learning is an asynchronous program composed of pre-recorded lectures and interactive assessments. UT Austin recommends that working professionals limit their load to 1-2 courses per semester, but you could choose to go faster. The curriculum consists of four courses—two required courses in machine learning and deep learning that have been developed by the Department of Computer Science and two electives in AI sub-topics. Electives cover standard AI domains like reinforcement learning and NLP, as well as more niche theoretical areas such as online learning & optimization. There are even industry-specific courses in AI in healthcare and AI techniques in astronomy.
Why Study AI Online at UT Austin?
Affordability is one of UT Austin’s key selling points—tuition for this online graduate certificate was only $5,000 in 2025. That’s at least a third of the price of certificates from other top-ranked schools. It’s also a stackable credential, which means all 12 credits can be applied to the Online Master of Science in Artificial Intelligence (MSAI). Candidates for the certificate are expected to have a bachelor’s in AI or a related field such as computer engineering, electrical engineering, or math; a minimum 3.0 undergraduate GPA; and an extensive background in AI or related sciences. Applicants with degrees in non-technical subjects can apply if they have the equivalent coursework & experience. The Department of Computer Science (CS) supports plenty of AI and Machine Learning research and the MSAI program is known for being technically challenging & highly selective.
Note: UT Austin also offers professional post-graduate certificate programs in AI in collaboration with Great Learning via the McCombs School of Business that are not for academic credit.
Learn More About AI at UT Austin
5 Johns Hopkins University – Baltimore, MD
Overview | Online Graduate Certificate in Artificial Intelligence
- Strong Pick For: Technical Coursework; Aspiring AI & ML Engineers; Defense, Aerospace & Government Jobs
- School: Whiting School of Engineering
- Format: 100% Online
- Credits: 4 Course Units/12 Credits
- Program Length: 1-2 Years
Program Summary
Johns Hopkins University’s Online Graduate Certificate in Artificial Intelligence is an asynchronous online program with optional, weekly live office hours. Most students finish JHU’s certificate within 1-2 years, but you have up to 5 years to complete the program. This certificate consists of four courses—two core courses in AI algorithm design & analysis and creating AI-enabled systems and two required courses in applied machine learning, applied generative AI, or artificial intelligence. You’ll see prerequisites and course descriptions listed in the curriculum section, but keep in mind that this longer plan of study is for the Online Master of Science in Artificial Intelligence (MSAI). Fortunately, all four courses from the certificate can be applied to the MSAI.
Why Study AI Online at JHU?
Quality won’t be a problem at JHU—both the online graduate certificate and the MSAI were conceived by the Whiting School of Engineering and the Applied Physics Lab (APL). In fact, the AI program chair for these qualifications is Barton Paulhamus, Principal Staff Researcher and Chief of APL’s Intelligent Systems Center. In general, JHU is looking for candidates who have completed undergraduate coursework in calculus, linear algebra, probability & statistics, Python, and advanced programming. However, other applicants can apply for provisional status and tackle the necessary prerequisites online. The APL has close ties with defense, aerospace, and government sectors, so this certificate may be an ideal solution for working professionals in the DC/MD area.
Learn More About AI at JHU
6 University of Wisconsin-Madison – Madison, WI
Overview | Online Capstone Certificate in Artificial Intelligence for Engineering Data Analytics
- Strong Pick For: Industrial Engineers; Career Networking; Engineering Applications
- School: College of Engineering
- Format: 100% Online
- Credits: 9
- Program Length: 2-3 Semesters
Program Summary
The University of Wisconsin-Madison’s Online Capstone Certificate in Artificial Intelligence for Engineering Data Analytics is an excellent pick for professionals in engineering settings. It’s a 9-credit program that consists of two required courses in machine learning for industrial engineers and generative AI for engineering applications, as well as one elective in decision analysis or engineering applications of statistics. Although it’s a standalone credential, credits from this certificate can be integrated with all online graduate programs offered by UW-Madison’s College of Engineering and Master of Science programs within the Department of Industrial and Systems Engineering.
Why Study AI Online at UW-Madison?
For more on UW-Madison’s strengths, visit the College of Engineering and explore the work of the Department of Industrial and Systems Engineering. Researchers are working on a number of intriguing AI-related projects in operations research, health systems engineering, and advanced manufacturing and industrial AI. Courses in this graduate certificate feature live sessions and hands-on projects, so there’s time to interact with faculty and fellow students. Applicants are expected to have a BS in engineering or a STEM field from an ABET-approved program; candidates who haven’t graduated from an ABET-accredited program will be considered on an individual basis.
Learn More About AI at UW-Madison
Explore UW-Madison’s Online Capstone Certificate in AI for Engineering Data Analytics
7 Northeastern University – Boston, MA
Overview | Online Graduate Certificate in AI Applications
- Strong Pick For: No Programming Experience; Health Science Professionals; MBA Candidates
- School: D’Amore-McKim School of Business; Bouvé College of Health Sciences
- Format: 100% Online
- Credits: 16 credits
- Program Length: 4 Months-3 Years
Program Summary
Northeastern University’s Online Graduate Certificate in AI Applications is the first program in our rankings that’s designed for working professionals without prior coding experience. It’s a highly affordable, asynchronous certificate that can be completed in 4 months or more. Instead of work in technical programming, the curriculum features three core courses in human-centered AI, current AI trends & tools, and responsible AI, as well as one elective in strategic AI for business or AI across the health sciences. If you earn a grade of B or better on certificate courses, you can apply your credits toward Northeastern’s Online MBA (OMBA) or another eligible master’s degree.
Why Study AI Online at Northeastern?
Tired of filling in application forms? Northeastern has developed an unusual performance-based admissions process called Fast App. Anyone with an undergraduate degree is welcome to apply. You simply start two designated courses in the program and prove your skills by earning a grade of B or better in order to progress to the full certificate. Better yet, electives feature a number of hands-on projects, real-world business case studies, and experiential opportunities in the health space. If you’re a healthcare professional, you may be able to leverage Bouvé’s reputation for health sciences into a better paid position. Thanks to its co-op program, Northeastern is a well-known name with Boston employers.
Learn More About AI at Northeastern
Explore Northeastern’s Online Graduate Certificate in AI Applications
8 University of Maryland – College Park, MD
Overview | Online Graduate Certificate in Engineering – Engineering Artificial Intelligence
- Strong Pick For: Industrial Engineers; Engineering Applications; Pathway to MEng
- School: Maryland Applied Graduate Engineering (MAGE); Clark School of Engineering
- Format: 100% Online
- Credits: 12
- Program Length: 1 Year or More
Program Summary
The University of Maryland’s Online Graduate Certificate in Engineering – Engineering Artificial Intelligence is designed for engineering professionals who need to gain additional credentials in AI. Online students can attend course lectures synchronously (live) or watched the recorded version after the fact. The four required courses in this 12-credit certificate cover probability & statistics for engineering AI, numerical methods for engineering AI, foundations of machine learning for engineering AI, and foundations of data science for engineering AI. All of these courses can then be applied to UMD’s Online Master of Engineering in AI, which has a lot more technical electives for specific engineering sectors (e.g. bioengineering, autonomous vehicles, advanced manufacturing, etc.).
Why Study AI Online at UMD?
UMD’s graduate certificate is a great “on-boarding” qualification for engineers with a bachelor’s degree in a STEM field. It will school you in advanced theory & math and expose you to practical work—the course in optimization features a team project and the course in data science includes hands-on exercises and a capstone project. But we’d recommend it as the first step to the MEng and collaborations with UMD’s Clark School of Engineering. The Department of Mechanical Engineering is closely affiliated with the Center for Industrial Artificial Intelligence (IAI Center). The Maryland Robotics Center (MRC) is busy exploring autonomous systems and bioinspired robotics. And the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) is funding all kinds of cross-college collaborative awards.
Learn More About AI at UMD
Explore UMD’s Online Graduate Certificate in Engineering: Engineering AI
9 Duke University – Durham, NC
Overview | Online Graduate Certificate in AI Foundations for Product Innovation
- Strong Pick For: Python Training; AI-Powered Products; Pathway to MEng
- School: Pratt School of Engineering
- Format: 100% Online
- Credits: 12 & Python Boot Camp
- Program Length: 15 Months
Program Summary
Duke University’s Online Graduate Certificate in AI Foundations for Product Innovation is geared toward engineers who aim to build AI-powered products. Extensive programming experience is not required for admission. Take one course per term and you can finish the program in 15 months. The certificate begins with a 4-week Python and Data Science Bootcamp (experienced students can request to opt out) followed by courses in sourcing data for analytics, modeling process & algorithms, deep learning applications, and a technical AIPI elective (e.g. LLMs, applied computer vision, etc.). All 12 credits can be applied to the 30-credit Online Master of Engineering in Artificial Intelligence for Product Innovation as long as you earn a grade of B or better in each course.
Why Study AI Online at Duke?
Like UMD’s program, Duke’s certificate is a strong pick for folks who are using the certificate as a test run for an online master’s degree. The hands-on MEng features an AI/ML industry project, additional technical electives, and an internship or second project. Even if you don’t decide to pursue the MEng, you’ll still have a prestigious name on your résumé. The Pratt School of Engineering has deep expertise in AI/ML research and plenty of connections to major industry partners. Applicants are expected to have a bachelor’s degree in science or engineering (or the equivalent technical work experience) and two undergraduate semesters of calculus. The major downside is cost—Duke is the most expensive option in our rankings. However, a limited number of merit-based scholarships are available.
Learn More About AI at Duke
Explore Duke’s Online Graduate Certificate in AI Foundations for Product Innovation
10 Purdue University – West Lafayette, IN
Overview | Online Graduate Certificate in Foundations of Artificial Intelligence
- Strong Pick For: No Programming Experience; Overview of AI Foundations; AI Policy & Governance
- School: Interdisciplinary (Engineering; Computer Science; Policy)
- Format: 100% Online
- Credits: 9
- Program Length: ~1-2 Years
Program Summary
Purdue University’s Online Graduate Certificate in Foundations of Artificial Intelligence is an asynchronous program with optional synchronous elements such as office hours, help sessions, and seminars. It’s an introductory, non-technical certificate that consists of three required courses in interdisciplinary AI fundamentals, societal impacts of AI, and AI policy/governance/ethics and one elective in AI essentials or advanced AI fundamentals for technical professionals. Certificate credits can be applied to the Online Master of Science in Artificial Intelligence (MSAI), which is available in a technical AI & ML major or a leadership-focused AI Management & Policy pathway.
Why Study AI Online at Purdue?
Have a look at the course descriptions to get a better handle on the thrust of Purdue’s online graduate certificate. It might suit managers & leaders who need a strategic perspective on AI’s impact on business, government, and society. It’s worth noting that a number of professors who teach the MSAI are located in the Department of Political Science, which oversees the Governance and Responsible AI Lab (GRAIL). Candidates should have an accredited bachelor’s degree in any major with a minimum cumulative GPA of 3.0, but no programming experience is required to apply.
Learn More About AI at Purdue
Explore Purdue’s Online Graduate Certificate in Foundations of AI
11 Texas A&M University – College Station, TX
Overview | Online Graduate Certificate in Artificial Intelligence and Machine Learning
- Strong Pick For: AI Theory & Applications; Career Networking
- School: Department of Computer Science & Engineering
- Format: 100% Online
- Credits: 12
- Program Length: 1 Year or More
Program Summary
Texas A&M University’s Online Graduate Certificate in Artificial Intelligence and Machine Learning combines asynchronous learning with interactive elements such as collaborative project work and Zoom interactions with students & faculty. However, most coursework can be done at your own pace. Certificate students select four computer science & engineering courses from a choice of five topics: artificial intelligence, machine learning, AI robotics, deep learning, and deep reinforcement learning. All of these credits can directly be applied to the Online Master of Science in Artificial Intelligence. You may also wish to ask about the possibility of transferring credits to the Online MSCS or Online MEng in Computer Engineering.
Why Study AI Online at Texas A&M?
Texas A&M’s program is a good choice for comp sci undergraduate majors who would like to explore AI theory and applications. The program is open to candidates who are ready to tackle graduate-level computer science classes and—ideally—hold a bachelor’s degree in computer science, computer engineering, or a related field. Within the Department of Computer Science & Engineering, you’ll find plenty of research strengths in AI and robotics and some intriguing labs, as well as collaborations with the AI/ML research group in the Department of Electrical & Computer Engineering. And if you opt to transfer into the MSAI, you’ll be able to select from a range of advanced computer science electives.
Learn More About AI at Texas A&M
Explore Texas A&M’s Online Graduate Certificate in AI and ML
12 University of Massachusetts Amherst – Amherst, MA
Overview | Online Graduate Certificate in Artificial Intelligence for Business
- Strong Pick For: AI in Business Applications; Python Training; Career Networking; MBA & MSBA Candidates
- School: Isenberg School of Management
- Format: 100% Online
- Credits: 12
- Program Length: 9 Months
Program Summary
The University of Massachusetts Amherst’s Online Graduate Certificate in Artificial Intelligence for Business is a business-focused program that’s designed to bridge technical AI skills and management strategy. It has a remarkably flexible curriculum, with only one required course in business applications with Python (no prior programming experience is expected) and three electives. You can choose from topics in machine learning for analytics, data science for business, applications of AI in business, generative AI business applications & strategy, and legal boundaries & ethical dilemmas. Credits from this certificate can be applied to Isenberg’s Online MBA or Online Master of Science in Business Analytics (MSBA).
Why Study AI Online at UMass Amherst?
Unlike other business AI graduate certificates that avoid technical coursework, UMass Amherst’s program provides plenty of practical training in Python and other fundamental AI/ML skills. Students tackle real-world exercises and industry projects. Since it involves virtual meetings & interactions with fellow students, it may also be a good choice for anyone seeking to network. Candidates with a bachelor’s degree in any major are welcome to apply. If you’re eyeing the MSBA or MBA as a potential next step, examine Isenberg’s section on graduate outcomes. A number of graduate students have finance and healthcare backgrounds.
Learn More About AI at UMass Amherst
Explore UMass Amherst’s Online Graduate Certificate in AI for Business
13 Arizona State University – Tempe, AZ
Overview | Online Professional Certification in Computer Science – AI and Machine Learning
- Strong Pick For: AI Foundations; Pathway to Master’s in Computer Science
- School: Ira A. Fulton Schools of Engineering
- Format: 100% Online
- Credits: 12
- Program Length: 6-9 Months
Program Summary
Although Arizona State University’s Online Professional Certification in Computer Science – AI and Machine Learning is not a traditional academic graduate certificate, you’ll still receive nine credits on an ASU transcript, along with a certification from the Ira A. Fulton Schools of Engineering. So we’ve made an exception for our rankings! Plus, if you earn this certification with a 3.00 GPA on the first try, you can apply your credits to ASU’s Online Master of Computer Science (MCS). For the curriculum, you’ll choose three courses from topics in AI, knowledge representation & reasoning (KRR), deep learning in visual computing, and statistical machine learning. If you like the look of all of them, you can complete the additional course and receive a maximum of 12 credits on your transcript.
Why Study AI Online at ASU?
ASU’s Ira A. Fulton Schools of Engineering has a solid reputation among employers. It offers ABET-accredited undergraduate programs in software engineering and computer science. It has a dedicated School of Computing and Augmented Intelligence with plenty of innovative research centers. And it is focused on offering practical qualifications. The online professional certification program features hands-on projects and optional weekly live sessions where you can talk to instructors. In order to apply, you simply fill in an application and wait for the university to assess your qualifications. If you’re thinking of using it as a pathway to a graduate degree, take a look at the MCS curriculum first. ASU offers master’s concentrations in cybersecurity and big data systems.
Note: ASU also offers an Online W.P. Carey Certificate in Artificial Intelligence in Business, but an academic transcript will only be provided if you enroll in a W. P. Carey graduate degree.
Learn More About AI at ASU
Explore ASU’s Online Professional Certification in Computer Science – AI & ML
14 University of Arizona – Tucson, AZ
Overview | Online Graduate Certificate in Natural Language Processing
- Strong Pick For: NLP Engineers; Statistical NLP
- School: Department of Linguistics; College of Social & Behavioral Sciences
- Format: 100% Online
- Credits: 9
- Program Length: 4-12 Months
Program Summary
The University of Arizona’s Online Graduate Certificate in Natural Language Processing is a hyper-specific program focusing on core NLP methods, applications, tools & packages. Coursework is asynchronous with weekly deadlines. Take three courses in one semester and you can finish in 4 months; take one course per semester and you can finish in a year. The curriculum consists of two required courses in statistical NLP and advanced statistical NLP and one elective in an area such as speech technology, neural networks, text retrieval, advanced computational linguistics, or NLP algorithms. Certificate credits can be applied to the Online Master of Science in Human Language Technology or the Online Master of Science in Data Science.
Why Study AI Online at U of A?
U of A’s online graduate certificate in NLP is the brainchild of the Department of Linguistics in the College of Social & Behavioral Sciences. The Department supports a number of unusual labs, including a Computational Language Understanding (CLU) Lab, and a research group in computational linguistics. The certificate program is open to candidates from a wide range of fields & disciplines, but U of A explicitly states that it’s catering to students who have more language expertise than computational expertise. If you’re enjoying the certificate experience, you might wish to make the jump to the master’s degree. The MS in HLT features an industry internship in lieu of a thesis.
Learn More About AI at U of A
15 Ohio State University – Columbus, OH
Overview | Online Graduate Certificate in Artificial Intelligence in Digital Health
- Strong Pick For: AI Applications in Healthcare; Bioinformatics Research; Aspiring Healthcare Data Scientists & AI Project Managers in Healthcare
- School: Department of Biomedical Informatics
- Format: 100% Online
- Credits: 12
- Program Length: 8-16 Months
Program Summary
Ohio State University’s Online Graduate Certificate in Artificial Intelligence in Digital Health is an asynchronous program that focuses on AI applications in healthcare & medicine. It’s open to both folks with computer science backgrounds who are working in the health sector and healthcare professionals who need to learn AI technologies. The program can be completed in as few as 2 semesters (two courses per semester) or spaced out over 3-4 semesters. The curriculum is composed of one required course in programming for biomedical informatics and three electives in topics such as AI/ML applications in medical imaging, AI/ML in digital health, predictive analytics in electronic health records (EHRs), and NLP in biomedical informatics.
More Online Options
Why Study AI Online at Ohio State?
Ohio State is an excellent choice for healthcare professionals. The certificate lives within the highly active Department of Biomedical Informatics (DBMI). It’s taught by faculty within the Department’s Division of AI in Digital Health Clinical Informatics and Implementation Science (AICIIS). And it’s hyper-focused on practical skill sets, including machine learning algorithms for biomedical informatics research. For this certificate, Ohio State is looking for applicants who have earned a bachelor’s degree and completed two undergraduate courses in computer science, math, statistics, analytics, or similar; or those with a bachelor’s degree and two years of professional experience in data science.
Learn More About AI at Ohio State
Explore Ohio State’s Online Graduate Certificate in AI Digital Health
Who are AI Certificate Programs Designed For?
Ideal Candidates for a Graduate Certificate in AI
AI and ML graduate certificates are designed for technical professionals who seek deeper academic training in the fields of artificial intelligence, machine learning, and robotics; business professionals who need to learn more about AI applications in corporate settings; and bachelor’s program graduates who wish to test the waters before jumping headfirst into a master’s degree.
Programming languages, natural language processing (NLP), computer vision algorithms, and advanced mathematics are just a few of the core and advanced AI and ML skills you can master through a credit-bearing graduate certificate. Additional specialized competencies can be developed through your choice of electives. Combined, these skills will empower you to be more competitive for higher positions and help you qualify for a promotion or raise.
Preparing for a Potential Master’s Degree
The next logical step after a graduate certificate in AI is a master’s degree. Even if you aren’t thinking of further study at this point in your career, it’s sensible to have the option. So be sure to find out if your certificate credits can be applied to a master’s degree at the same university or transferred to a master’s degree of your choice at another school.
- AI graduate certificate credits are often transferred to master’s programs like the MS in Artificial Intelligence (MSAI), MEng in Artificial Intelligence, or MS in Data Science (MSDS). Some MS in Computer Science (MSCS) programs will accept AI graduate certificate credits, but you will need to check.
- You will usually be required to earn a grade of B or better in your graduate certificate courses in order to apply your credits to a master’s degree. In some cases, only certain courses in the graduate certificate may be eligible for transfer.
Types of AI Graduate Certificate Programs
Computer Science Foundations
If you’re interested in digging deep into AI theory and technical applications, opt for AI graduate certificate programs that have been developed by a School/Department of Computer Science or Schools of Engineering with a strong track record in computer engineering & computer science. Examples from our rankings include:
- Stanford’s Online Graduate Certificate in Artificial Intelligence
- UT Austin’s Online Graduate Certificate in Artificial Intelligence and Machine Learning
- Texas A&M’s Online Graduate Certificate in Artificial Intelligence and Machine Learning
These certificates will often feature 1-2 computer science courses in AI and machine learning, as well as 2-3 electives in AI sub-topics (e.g. NLP, computer vision, robotics, etc.).
Master’s Degree Pathways: Master of Science in Computer Science (MSCS) in AI; Master of Science in Data Science (MSDS); Master of Science in Artificial Intelligence (MSAI)
Engineering Foundations
Engineering professionals should prioritize AI graduate certificate programs from the School of Engineering. These kinds of certificates will be hyper-focused on AI engineering applications. Examples from our rankings include:
- UW’s Online Certificate in Artificial Intelligence and Machine Learning for Engineering
- UW-Madison’s Online Capstone Certificate in Artificial Intelligence for Engineering Data Analytics
- UMD’s Online Graduate Certificate in Engineering – Engineering Artificial Intelligence
For these kinds of certificates, schools will usually ask for proof of an undergraduate degree in engineering or a STEM field. Some universities—like UW-Madison—will also want to see that it’s an ABET-accredited bachelor’s program.
Master’s Degree Pathways: Master of Engineering (MEng) in Artificial Intelligence; Master of Science in Artificial Intelligence (MSAI)
AI in Business
Do you need something a little less technical? Folks with a business background and limited programming experience have the option to explore AI graduate certificates from Schools of Business or Management. Examples from our rankings include:
- Northeastern’s Online Graduate Certificate in AI Applications
- UMass Amherst’s Online Graduate Certificate in Artificial Intelligence for Business
Always check the curriculum before applying. AI graduate certificates like Northeastern’s are primarily focused on strategic AI and management concerns. In contrast, UMass Amherst’s graduate certificate features a fair amount of practical training in Python and AI business applications.
Master’s Degree Pathways: Master of Science in Business Analytics (MSBA); MBA
Subject-Specific
Some universities have gone the extra step and developed graduate certificates in AI that focus on specific domains or industry sectors. Examples from our rankings that would fall under this category include:
- University of Arizona’s Online Graduate Certificate in Natural Language Processing
- Ohio State’s Online Graduate Certificate in Artificial Intelligence in Digital Health
These are “niche” qualifications that are designed to help professionals with a particular passion for their subject. They can lead to a master’s degree, but you should ask the program coordinator for details. For instance, U of A’s certificate credits can be applied to an MS in Human Language Technology or an MS in Data Science.
Master’s Degree Pathways: Subject-dependent
Coursework for AI Graduate Certificate Programs
Prerequisites
Technical graduate certificates in AI & ML will typically expect candidates to have undergraduate credits in programming, discrete math, probability, statistics, calculus, and linear algebra. Business-focused graduate certificates in AI will have more flexible admissions requirements.
If you don’t have certain prerequisites, it may still be possible to apply for provisional acceptance, depending on the program and which classes you’re missing. For instance, Johns Hopkins University’s Online Graduate Certificate in Artificial Intelligence accepts applicants who still need to complete prerequisites on a provisional status.
Core Coursework
A graduate certificate in artificial intelligence generally takes 9-15 credits to complete (3-5 courses), allowing for a mixture of required core coursework plus electives.
Typical core classes vary by program, but a few common ones include:
- Artificial Intelligence
- Foundations of Algorithms
- Introduction to Machine Learning
- Applied Machine Learning
- Creating AI-Enabled Systems
- Foundations of Data Science
Electives
Some graduate certificates in AI will allow students to choose electives; some will have a fixed plan of study with no electives. Visit the curriculum links in our directory to learn more about what’s available in each program. For example:
- Stanford’s Online Graduate Certificate in Artificial Intelligence has computer science & computer engineering foundations. So it features electives in deep learning, reinforcement learning, computer vision, robotics, NLP, and more.
- UMass Amherst’s Online Graduate Certificate in Artificial Intelligence for Business is a business program. So it contains electives in areas like data science for business and applications of AI in business.
Structure & Format of AI Graduate Certificates
Delivery Method
Graduate certificates in AI are now available in an on-campus, online, or hybrid/blended format. On-campus or hybrid certificates may be valuable if you’re considering an in-person master’s degree and want to start making connections with faculty & researchers. Online certificates will be designed for working professionals who don’t have the time to commute to campus.
A number of schools are happy to advertise that their graduate certificate programs in AI are 100% online or hybrid; others don’t make the delivery method clear. If there’s a program you’re interested in that doesn’t overtly specify it’s online, dig around in the catalog to see how classes are offered. If in doubt, reach out to the program coordinator for clarification.
Plan of Study
Unless the program’s description states otherwise, graduate certificate students can usually decide if they want to knock out all core courses first or mix things up by taking electives simultaneously. This can be very helpful during scheduling, in the event that a required course’s seats are all filled up and you don’t want a delay. Obviously, if an elective requires foundational knowledge learning from a core course, you should take the core course first.
Time to Completion
Most AI or ML graduate certificate programs are structured to be completed quickly and efficiently. Courses are typically the same ones offered to master’s degree students; thus classes run the standard length of the term unless the program is specifically designed to be standalone with shorter courses. Take one course per semester and you might finish in 4 semesters/16 months. Take two courses per semester and you could have your graduate certificate in 8 months.
Online Artificial Intelligence Certificate Programs
A sizeable number of online graduate certificate programs in AI are offered in an asynchronous, “learn on your own time” format. Lectures are prerecorded and assessments can be completed at your convenience. You may be expected to contribute to class discussions and message boards, but you won’t have to log in at a specific hour.
Occasionally, you will encounter an online graduate certificate in AI where courses are taught “virtual live,” allowing students to attend lectures remotely via teleconferencing (e.g. Carnegie Mellon’s weekly live online classes). Many graduate certificate programs will also include optional synchronous elements such as virtual office hours, help sessions, and live seminars.
How Much Do AI Certificate Programs Cost?
How to Calculate the Price
Unlike industry certifications, which are generally charged at a flat rate, AI graduate certificate courses are considered to be part of a college’s standard course catalog and count as academic credit. Calculate how many credits/units are in the program and use the graduate tuition rate to determine the overall cost.
To give you a sense of the price range, we ran the numbers on the online AI graduate certificate programs in our rankings. Remember that these are costs for an online program. If you select a hybrid or on-campus certificate, you will also have to factor in commuting expenses.
Expensive ($20-$30k)
Expensive online graduate certificate programs in AI can cost anywhere from $20,000 to $30,000. Unsurprisingly, these technical & engineering-focused programs tend to be offered by major league players like Duke University, Stanford University, Carnegie Mellon University, and Johns Hopkins University. These are names that will impress employers. In 2025, Duke had the most expensive online AI graduate certificate in our rankings, with a total price tag of $28,920.
Mid-Range ($10k-$20k)
Mid-range online graduate certificate programs in AI cost between $10,000 and $20,000. You’ll still find plenty of programs from prestigious universities in this category, including the University of Washington and the University of Maryland. However, they will be on the higher end of the price spectrum ($16k-$18k). Certificate programs on the lower end of the price spectrum tend to come from strong regional players like the University of Massachusetts Amherst and the University of Wisconsin-Madison ($11k-$12k).
Cheap ($5-$10k)
Cheap online graduate certificate programs in AI will cost under $10,000. These can provide an excellent return on investment (ROI), especially if you are unsure about whether you wish to commit to a master’s degree. Schools like Northeastern, Purdue, Arizona State University, and the University of Arizona fall into this category. In 2025, the cheapest online AI graduate certificate in our rankings was being offered by the University of Texas Austin, with a total price tag of $5,000.
Popular Alternatives to an AI Graduate Certificate
Professional AI Certificate Programs
Professional certificates in AI are non-degree programs designed to help working professionals and career changers acquire practical, job-ready skills in AI. In most cases, professional certificates are NOT credit bearing. You will not be earning graduate credits that can appear on your academic transcript. And—in most cases—you won’t be able to transfer your professional certificate credits to a master’s degree within the university. So be sure you understand the rules before you apply.
Here are a few well-known examples of professional certificate programs in AI and machine learning that are offered by prestigious universities in the USA:
- Stanford University’s Online Professional Certificate in Artificial Intelligence
- University of Washington’s Online Certificate in Machine Learning through UW Professional & Continuing Education
- University of Berkeley’s Online Professional Certificate in Machine Learning and Artificial Intelligence delivered via Berkeley Executive Education (2-6 months)
- MIT’s Online Professional Certificate in Machine Learning & Artificial Intelligence
- Georgia Tech’s Online Professional Certificate in Data Structures and Algorithms via edX
- Cornell University’s Online Artificial Intelligence Certificate Programs
- Columbia University’s Online Artificial Intelligence Executive Certificate
- University of Chicago’s Online AI for Leaders Certificate
- Brown University’s Online Applied AI & Data Science Certificate from the School of Professional Studies
Add-On Graduate Certificates
An add-on graduate certificate in AI is a credit-bearing credential that’s designed to supplement an existing degree. Add-on graduate certificates are frequently on-campus and aim to help master’s and PhD students dig deeper into technical AI coursework.
Examples of an add-on certificate in AI include:
- UPenn’s Online Graduate Certificate in Artificial Intelligence, which is open to current Penn Engineering students and Penn Engineering alumni. Two of these course units can be transferred to UPenn’s Online Master of Science in Engineering in Artificial Intelligence (MSE-AI).
- University of Illinois Urbana-Champaign’s on-campus Accelerating Innovation in AI Certificate for graduate students in any major.
- UT Austin’s on-campus Graduate Portfolio Program in Ethical AI for students in their first or second year of doctoral or master’s studies.
- Princeton University’s on-campus Graduate Certificate in Statistics and Machine Learning for students currently enrolled in a PhD or master’s program.
- Washington University St. Louis’s on-campus Graduate Certificate in Data Mining & Machine Learning that can be added to any master’s program in the McKelvey School of Engineering.
Extension School Certificates
Some universities offer graduate-level certificates in AI through their Extension Schools. An Extension School is a division within the university that’s designed for non-traditional learners and working professionals. Programs may be part-time, online, self-paced and/or focused on professional development. For example:
- UC San Diego Division of Extended Studies offers an Online Certificate in Technical Aspects of Artificial Intelligence and Online Specialized Certificate in Machine Learning Methods. Although credits in these certificates could be applied to a master’s degree at other universities (subject to approval of the receiving institution), the Division is not a degree-granting institution. That’s why we excluded it from our academic rankings.
- Harvard’s Online Graduate Certificate in Artificial Intelligence is offered by its Harvard Extension School (HES). So it doesn’t carry the same weight as the main university. It’s important to note that the Harvard Extension School is a degree-granting institution. However, “Extension Studies” will be listed on your diploma. If you’re comfortable with this distinction, credits from this certificate can be applied to the Master of Liberal Arts (ALM) in Extension Studies – Data Science.
Industry Certifications in AI
A number of major tech companies offer their own certifications & certificates in AI and machine learning. These qualifications will get you up to speed in specific AI technologies and platforms. Some well-known examples include:
- Google Cloud: Professional Machine Learning Engineer Certification
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning Specialty
Micro-Credentials in AI
A micro-credential in AI is a short, competency-based program that focuses on proficiency in AI & ML skill sets. Micro-credentials typically have fewer courses than a traditional academic graduate certificate and may take only a few months to complete. Folks who opt for a micro-credential usually earn a digital badge or certificate from the university, but they won’t be able to list micro-credential courses on their academic transcript.
Examples of AI micro-credentials include:
- Arizona State University’s non-credit Stackable Microcredential in Deep Learning with TensorFlow.
- University of Houston’s non-credit Micro-Credential in Artificial Intelligence (MAI) from the Hewlett Packard Enterprise Data Science Institute (HPE DSI).
- New Jersey Institute of Technology’s non-credit AI Literacy Microcredential and AI for Educators Microcredential.
- Upper Iowa University’s non-credit Artificial Intelligence (AI) Micro-Credential.
MicroMasters® Programs
MicroMasters® Programs are a series of online graduate-level courses created by major universities and offered on platforms like edX. A classic example is the MITx’s MicroMasters® Program in Statistics and Data Science (SDS) developed by MITx and the MIT Institute for Data, Systems, and Society (IDSS). This qualification features work in machine learning with Python and a capstone exam. Credits from MITx’s MicroMasters Program can be applied to degrees at certain universities, but you should check the list of approved schools.
Coursera Courses & Certificates in AI
You will also find AI courses, graduate certificates, and MasterTrack® certificates that have been developed by universities & tech companies and made available through Coursera, an open online course provider. (Andrew Ng’s Machine Learning Specialization course series is particularly popular.) Taking a few beginner-level Coursera courses in AI and machine learning can help you decide whether you’d like to pursue an academic qualification.
There are a few Coursera offerings that can help you prepare for a master’s degree. A well-known example is the University of Colorado Boulder’s Online Data Science Graduate Certificate. This is a stackable credential—credits can be applied to the university’s Online Master of Science in Data Science (MS-DS), also on Coursera.
AI Bootcamps
AI bootcamps are intense, short-term training programs focused on practical skills. They are aimed at career changers, upskillers, and recent graduates. They may be offered in an online, hybrid, or in-person format. They often take 2-6 months to complete. And they can help you build a portfolio of projects to showcase to employers.
For an example, check out Caltech’s 24-week Online Artificial Intelligence and Machine Learning Bootcamp, which is offered by the Center for Technology & Management Education (CTME) in collaboration with Simplilearn. This bootcamp for aspiring AI & ML engineers includes 15+ hands-on projects, including 3 capstones. However, bootcamp graduates only receive Continuing Education Units (CEUs), not academic credits for their work.
AI Graduate Certificate FAQ
What Does the Term Credit Bearing Mean?
“Credit bearing” means that credits within a course, certificate or program count for academic credit. These credits will appear on your official academic transcript and can be applied to a degree program in the future. Credit-bearing graduate certificates usually go through the same curriculum approval process as master’s degree programs and are subject to oversight by the university and accrediting bodies.
What Are Stackable Graduate Certificates in AI?
Stackable graduate certificates in AI are credit-bearing programs that are designed to be “stacked” or combined with other certificates & courses to build toward a master’s degree. One of the most well-known examples of a stackable credential is UW’s Online Certificate in Artificial Intelligence and Machine Learning for Engineering, which students can combine with a number of different graduate certificates in order to earn an MS in AI and ML for Engineering.
Can Earning a Graduate Certificate in AI Increase My Chances of Getting Accepted for a Master’s?
Earning a graduate certificate in AI may increase your chances of getting accepted into a master’s program, but the answer is going to depend on your individual circumstances.
- Graduate certificates tend to have lower admission standards than master’s degrees, which may make them an attractive “on-boarding” qualification for students with a weak undergraduate record and/or low GRE scores.
- Some universities will invite students who have been rejected from a master’s program to apply for the graduate certificate and try again for the MS after they have earned high grades on their certificate courses.
- Some universities explicitly note that completing a graduate certificate (with an acceptable GPA) will give you priority admission into select master’s program.
Should I Earn a Graduate Certificate in AI or an Alternative Qualification?
There are many popular alternatives to a graduate certificate in AI, including professional certificate programs, industry certifications, micro-credentials, and Coursera offerings. You don’t have to earn an academic qualification in order to advance your career in artificial intelligence.
Having said that, a credit-bearing graduate certificate in AI may be an excellent choice if you are:
- Contemplating earning a master’s degree from a well-known school, but you want to see if the AI coursework is challenging, up-to-date, and taught by great faculty.
- Able to persuade your employer to subsidize the cost of your education over time—first the graduate certificate and then the master’s degree.
- Wish to use the certificate to tap into the expertise of a particular department or research center within a university.
- Enjoy the experience of lectures and class discussions, as well as opportunities to network with fellow professionals in your field.
Will Potential Employers Care About a Graduate Certificate in AI?
Think of a graduate certificate in AI as a supplemental qualification. It’s not going to carry the same weight as a master’s degree and/or years of work experience, but it can help prove to employers that you are serious about continuing your education and willing to improve your understanding of AI theory & applications. It also shows hiring committees that you have gone through the gauntlet of structured coursework & assessments. As one IT manager puts it: “If you are in IT and have decades of experience but not a single certification, post-grad education, or local university course on your résumé, that’s a big thumbs down.”
Schools with Artificial Intelligence Graduate Certificate Programs
Alabama
Auburn University
Samuel Ginn College of Engineering
Auburn University, Alabama
University of Alabama at Birmingham
Marnix E. Heersink Institute for Biomedical Innovation
Birmingham, Alabama
University of Alabama in Huntsville
Office of Professional and Continuing Education
Huntsville, Alabama
University of South Alabama
Department of Computer Science
Mobile, Alabama
Alaska
University of Alaska Anchorage
College of Business and Public Policy
Anchorage, Alaska
Arizona
Arizona State University
W.P. Carey School of Business
Tempe, Arizona
University of Arizona
College of Social And Behavioral Sciences
Tucson, Arizona
California
California State Polytechnic University-Pomona
College of Science
Pomona, California
California State University-Fresno
Department of Information Systems and Decision Sciences
Fresno, California
California State University-Sacramento
Department of Computer Science
Sacramento, California
College of San Mateo
Computer and Information Science Department
San Mateo, California
Mt. San Antonio College
Computer Information Systems Department
Walnut, California
Naval Postgraduate School
CISER Consortium for Intelligent Systems Education and Research
Monterey, California
San Diego State University
SDSU Open University
San Diego, California
San Francisco State University
Department of English Language and Literature
San Francisco, California
San Jose State University
Department of Linguistics and Language Development
San Jose, California
Stanford University
School of Engineering
Stanford, California
University of California-Berkeley
Haas School of Business
Berkeley, California
University of California-Irvine
Division of Continuing Education
Irvine, California
University of California-San Diego
UC San Diego Extension
La Jolla, California
Colorado
University of Colorado Boulder
Computer Science Department
Boulder, Colorado
Connecticut
Sacred Heart University
Management Department
Fairfield, Connecticut
Delaware
University of Delaware
AI Center of Excellence
Newark, Delaware
Wilmington University
College of Technology
New Castle, Delaware
District of Columbia
George Washington University
School of Business
Washington, District of Columbia
Georgetown University
School of Continuing Studies
Washington, District of Columbia
Florida
Florida Atlantic University
Department Of Computer & Electrical Engineering And Computer Science
Boca Raton, Florida
Florida Gulf Coast University
Department of Information Systems, Analytics and Supply Chain
Fort Myers, Florida
AI and Machine Learning Certificate
Offered Online
St Petersburg College
College of Computer Info and Tech
Clearwater, Florida
University of Central Florida
Dean's Office College of Arts and Humanities Department
Orlando, Florida
University of Florida
Department of Electrical & Computer Engineering
Gainesville, Florida
University of South Florida-Main Campus
Institute for Artificial Intelligence
Tampa, Florida
Georgia
Clayton State University
Department of Computer Science and Information Technology
Morrow, Georgia
Emory University
Emory Continuing Education
Atlanta, Georgia
Georgia State University
Robinson College Of Business Programs
Atlanta, Georgia
Hawaii
University of Hawaii at Manoa
Information and Computer Sciences Department
Honolulu, Hawaii
Idaho
Boise State University
College of Innovation and Design
Boise, Idaho
University of Idaho
Department of Computer Science
Moscow, Idaho
Illinois
Illinois Central College
Business, Legal, and Information Systems Department
East Peoria, Illinois
Illinois Institute of Technology
College of Computing
Chicago, Illinois
Northwestern University
School of Professional Studies
Evanston, Illinois
University of Chicago
Professional Education
Chicago, Illinois
University of Illinois at Springfield
Management Information Systems Department
Springfield, Illinois
University of Illinois at Urbana-Champaign
Department of Bioengineering
Champaign, Illinois
Indiana
Indiana Institute of Technology
Talwar College of Engineering and Computer Sciences
Fort Wayne, Indiana
Purdue University-Northwest
Center for Cybersecurity
Hammond, Indiana
Purdue University
The Graduate School
West Lafayette, Indiana
University of Indianapolis
School of Business
Indianapolis, Indiana
Iowa
University of Iowa
Department of Mechanical Engineering
Iowa City, Iowa
University of Northern Iowa
College of Education
Cedar Falls, Iowa
Kansas
Fort Hays State University
Department of Computer Science
Hays, Kansas
Kansas State University
College of Technology and Aviation
Manhattan, Kansas
Kentucky
Eastern Kentucky University
College of Science
Richmond, Kentucky
University of Kentucky
Department of Computer Science
Lexington, Kentucky
University of Louisville
J.B. Speed School of Engineering
Louisville, Kentucky
University of the Cumberlands
School of Computer Information Sciences
Williamsburg, Kentucky
Artificial Intelligence Certificate
Offered Online
Louisiana
Louisiana State University
LSU Online
Baton Rouge, Louisiana
Tulane University of Louisiana
A. B. Freeman School of Business
New Orleans, Louisiana
University of New Orleans
Department of Computer Science
New Orleans, Louisiana
Maine
University of Maine
College of Engineering and Computing
Orono, Maine
Maryland
Capitol Technology University
Department of Computer and Data Science
Laurel, Maryland
Johns Hopkins University
Whiting School of Engineering
Baltimore, Maryland
University of Maryland-College Park
Department of Electrical and Computer Engineering
College Park, Maryland
Massachusetts
Boston University
Department of Linguistics
Boston, Massachusetts
Northeastern University
D'Amore-McKim School of Business
Boston, Massachusetts
Western New England University
Engineering Department
Springfield, Massachusetts
Worcester Polytechnic Institute
Department of Computer Science
Worcester, Massachusetts
Michigan
Michigan Technological University
Health Informatics Department
Houghton, Michigan
Oakland University
Professional and Continuing Education
Rochester Hills, Michigan
University of Michigan-Dearborn
Department of Engineering and Computer Science
Dearborn, Michigan
Wayne State University
College of Engineering
Detroit, Michigan
Minnesota
Saint Mary's University of Minnesota
SMU Online
Winona, Minnesota
Artificial Intelligence Certificate
Offered Online
University of St. Thomas
Software Engineering and Data Science Department
Saint Paul, Minnesota
Mississippi
University of Southern Mississippi
School of Ocean Science and Engineering
Hattiesburg, Mississippi
Missouri
Maryville University
Maryville Online
Saint Louis, Missouri
Certificate in Advanced AI
Offered Online
Certificate in Machine Learning
Offered Online
Missouri Southern State University
Plaster School of Business
Joplin, Missouri
Missouri University of Science and Technology
Business and Information Science and Technology Department
Rolla, Missouri
University of Missouri-Columbia
College of Engineering
Columbia, Missouri
University of Missouri-St Louis
Department of Computer Science
Saint Louis, Missouri
Washington University in St Louis
McKelvey School of Engineering
Saint Louis, Missouri
Montana
Montana State University
Computer Science Department
Bozeman, Montana
Nebraska
Concordia University - Nebraska
College of Education, Health and Human Sciences
Seward, Nebraska
University of Nebraska at Omaha
College of Information Science & Technology
Omaha, Nebraska
New Jersey
Montclair State University
Department of Linguistics
Montclair, New Jersey
New Jersey Institute of Technology
Department of Data Science
Newark, New Jersey
Princeton University
Robotics at Princeton
Princeton, New Jersey
Rutgers University
School of Engineering
New Brunswick, New Jersey
Stevens Institute of Technology
Schaefer School Of Engineering & Science
Hoboken, New Jersey
New York
Columbia University in the City of New York
Columbia Engineering
New York, New York
Cornell University
eCornell
Ithaca, New York
Certificate in Machine Learning
Offered Online
Certificate in Marketing AI
Offered Online
DeVry University
School of Management
New York, New York
Rensselaer Polytechnic Institute
Rensselaer at Work
Troy, New York
Rochester Institute of Technology
Department of Computer Science
Rochester, New York
University of Rochester
Simon Business School
Rochester, New York
North Carolina
Duke University
Pratt School of Engineering
Durham, North Carolina
University of North Carolina at Chapel Hill
Department of Linguistics
Chapel Hill, North Carolina
University of North Carolina at Charlotte
College of Computing and Informatics
Charlotte, North Carolina
University of North Carolina at Greensboro
Joseph M. Bryan School of Business and Economics
Greensboro, North Carolina
North Dakota
North Dakota State College of Science
STEM Department
Wahpeton, North Dakota
University of North Dakota
College of Engineering and Mines
Grand Forks, North Dakota
AI and Machine Learning Certificate
Offered Online
Ohio
Air Force Institute of Technology-Graduate School of Engineering & Management
Graduate School of Engineering and Management
Wright-Patterson AFB, Ohio
Miami University-Oxford
Department of Computer Science and Software Engineering
Oxford, Ohio
Ohio State University-Main Campus
College of Arts and Sciences
Columbus, Ohio
Ohio University
College of Business
Athens, Ohio
University of Akron Main Campus
Department of Philosophy
Akron, Ohio
University of Dayton
Department of Computer Science
Dayton, Ohio
Walsh University
Division of Mathematics&Sciences
North Canton, Ohio
Oregon
Portland State University
College of Liberal Arts & Sciences
Portland, Oregon
Pennsylvania
Carnegie Mellon University
Heinz College
Pittsburgh, Pennsylvania
Drexel University
College of Computing & Informatics
Philadelphia, Pennsylvania
Elizabethtown College
School of Graduate and Professional Studies
Elizabethtown, Pennsylvania
Lehigh University
College of Education
Bethlehem, Pennsylvania
Messiah College
School of Graduate and Professional Studies
Mechanicsburg, Pennsylvania
Pennsylvania State University-Main Campus
Smeal College of Business
University Park, Pennsylvania
Robert Morris University
Department of Computer and Information Systems
Moon Township, Pennsylvania
Saint Joseph's University
Department of Computer Science
Philadelphia, Pennsylvania
Shippensburg University of Pennsylvania
Computer Science Department
Shippensburg, Pennsylvania
South Carolina
University of South Carolina-Columbia
College of Engineering and Computing
Columbia, South Carolina
South Dakota
University of South Dakota
USD Online
Vermillion, South Dakota
Tennessee
Lipscomb University
Raymond B. Jones College of Engineering
Nashville, Tennessee
The University of Tennessee
College of Emerging and Collaborative Studies
Knoxville, Tennessee
Texas
Lamar University
College of Engineering
Beaumont, Texas
Prairie View A & M University
Graduate Department
Prairie View, Texas
Southern Methodist University
Moody School of Graduate and Advanced Studies
Dallas, Texas
Texas A & M University-College Station
Department of Computer Science and Engineering
College Station, Texas
The University of Texas at Arlington
College of Engineering
Arlington, Texas
The University of Texas at Austin
Department of Computer Science
Austin, Texas
The University of Texas at Dallas
Naveen Jindal School of Management
Richardson, Texas
University of North Texas
Department of Linguistics
Denton, Texas
Utah
Southern Utah University
Department of Engineering and Technology
Cedar City, Utah
University of Utah
Department of Linguistics
Salt Lake City, Utah
Utah State University
Computer Science Department and Mathematics and Statistics Department
Logan, Utah
Utah Valley University
Computer Science Department
Orem, Utah
Vermont
Norwich University
College of Graduate and Continuing Studies
Northfield, Vermont
Virginia
George Mason University
Department of Mechanical Engineering
Fairfax, Virginia
Washington
University of Washington-Seattle Campus
Professional and Continuing Education
Seattle, Washington
Certificate in Machine Learning
Offered Online
Wisconsin
Marquette University
The Graduate School
Milwaukee, Wisconsin
Milwaukee School of Engineering
Electrical Engineering and Computer Science Department
Milwaukee, Wisconsin
University of Wisconsin-Eau Claire
Computer Science Department
Eau Claire, Wisconsin
University of Wisconsin-Milwaukee
Department of Computer Science
Milwaukee, Wisconsin
University of Wisconsin-Whitewater
UW-Whitewater Online
Whitewater, Wisconsin
