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UND School of Engineering Student
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  • Artificial Intelligence and Machine Learning (Grad Certificate)
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AI & Machine Learning Certificate

Enhance your knowledge of computing machines and take your artificial intelligence career to the next level.

Develop methods by which computing machines think, enabling them to make automated decisions based on real-time inputs. Learn to develop custom algorithms based on specific needs.

Program type:
Certificate - Graduate
Format:
On Campus or Online
Est. time to complete:
1 year
Credit hours:
9
  • Requirements
  • Tuition & Aid
  • How to Apply

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Why pursue advanced artificial intelligence and machine learning certification?

Graduate Application Deadlines
Fall:
May 15* | Aug. 1
Spring:
Oct. 15* | Dec. 1
Summer:
March 15* | May 1

*Priority deadline

Artificial Intelligence is the study of computing machines that approximate thinking using complex algorithms. In this area, you will develop methods by which computing machines think, and then train those machines using datasets in a particular application area. Once properly trained, the artificial intelligence algorithm can make automated decisions based on real-time inputs.

Our graduate certificate in Artificial Intelligence & Machine Learning covers the basics in the field, and utilizes foundational and advanced algorithms. You'll receive formal training of applications and techniques for those working in Computer Science, Data Science and Electrical Engineering. The certificate program is application focused and provides you with a collection of tools that can be taken to the workforce and applied in a variety of application areas.

You will also learn the theoretical aspects of Artificial Intelligence & Machine Learning to enable you to develop custom algorithms for their specific needs.

Artificial Intelligence Graduate Certificate Courses

CSCI 543. Machine Learning. 3 Credits.

An introductory course in machine learning for data science. Topics include the learning algorithms of a Bayesian network, neural network, parametric/non-parametric methods, kernel machine, support-vector machine, etc. for regression, classification, clustering, dimensionality reduction, etc. Prerequisite: CSCI 365 or CSCI 384. F, odd years.

CSCI 544. Soft Computing: Computational Intelligence I. 3 Credits.

A study of the computational intelligence with the Soft Computing paradigm. The topics include the theory and computational methods of Fuzzy Logic and system, Neural Network, Evolutionary Algorithm and other topics, whose paradigms and hybrid techniques are widely applied to data science and mining, pattern classification and clustering, information retrieval, control engineering, decision making, and optimization problem, etc. S, even years.

CSCI 554. Applications in AI/Computational Intelligence. 3 Credits.

A continuous study of the computational paradigms of Soft Computing in the field of Computational Intelligence. The topics include the applications of the various soft computing techniques in Computational Intelligence as well as more evolutionary algorithms in Swarm Intelligence. Prerequisite: CSCI 544. F, even years.

What can you do with an artificial intelligence certificate?

26%

Projected job outlook for computer and information research scientists through 2033

U.S. Bureau of Labor Statistics

145k

Median annual salary for computer and information research scientists, 2023

U.S. Bureau of Labor Statistics

With an Artificial Intelligence & Machine Learning graduate certificate, you will enhance your knowledge and expertise of computing machines.

If you currently work in the field, the certificate is an ideal way for you to strengthen your skills in the development of custom algorithms and dataset training.

The online or on-campus program will help you achieve careers such as:

  • Data Scientist: Use advanced AI and ML skills to extract insights from complex datasets, build predictive models, and excel in the dynamic field of data science.
  • Automation Specialist: Design and deploy automated solutions that optimize processes and workflows through the implementation of AI and ML technologies.
  • Research Scientist: Contribute to cutting-edge AI and ML research by developing novel algorithms, exploring emerging technologies, and advancing the frontiers of knowledge.
  • Business Intelligence Developer: Leverage AI and ML algorithms to transform raw data into actionable business insights, creating interactive dashboards and supporting data-driven decision-making.
  • Product Manager: Lead the development of AI-powered products, define product strategies, and bridge the gap between cutting-edge technology and market demands.

Benefits of UND's Online Artificial Intelligence Graduate Certificate

  • No entry exams.
  • Affordable tuition.
  • Consisten course offerings for timely graduation.
  • Online live courses.
  • No on-campus travel requirement.
  • One-on-one advising.

 

Online Artificial Intelligence Certificate

+160

online graduate programs

#1

best online college in North Dakota

Forbes

Live Online AI Courses

Synchronous classes are held in real-time. If you’re the kind of learner who likes active discussion and immediate feedback through live interaction, you’ll enjoy this online course format.

Every class is different, but generally, you’ll log into a virtual classroom at scheduled times to:

  • Listen to a lecture
  • Ask questions
  • Participate in class discussions
  • Conduct group activities
  • Participate in video-sharing
  • Have chat conversations
  • Use interactive whiteboards
  • Take live polls

You should prepare for your classes by finishing any assigned readings, compiling questions for your instructor and thinking about how to contribute to the next live class.

Leaders in Online Education

Over a third of UND's student population is exclusively online; plus, more take a combination of online and on-campus classes. You can feel reassured knowing you won't be alone in your online learning journey, and you'll have resources and services tailored to your needs.

No matter how you customize your online experience, you’ll get the same top-quality education as any other on campus student.

  • Same degree: All online programs are fully accredited by the Higher Learning Commission (HLC). Your transcript and diploma are exactly the same as our on-campus students.
  • Same classes: You’ll take courses from UND professors, start and end the semesters at the same time and take the same classes as a student on campus.
  • Real interaction: You can ask questions, get feedback and regularly connect with your professors, peers and professionals in the field.
  • Your own academic advisor: As an invaluable go-to, they’re focused on you, your personal success and your future career.
  • Free online tutoring: We're here to help you one-on-one at no cost. Plus, get access to a variety of self-help online study resources.
  • Unlimited academic coaching: Need support to achieve your academic goals or feeling stumped by a tough course? We'll help with everything from stress and time management to improving your memory to achieve higher test scores.
  • Full online access: Dig into virtual research at UND's libraries. Improve your writing skills with online help from the UND Writing Center. Get online access to career services, veteran and military services, financial services and more.
  • 24/7 technical support: UND provides free computer, email and other technical support for all online students.
  • Networking opportunities: Our significant online student population means you’ll have a large pool of peers to connect with. UND has numerous online events and activities to keep you connected.

Best Online College

Our high alumni salaries and job placement rates, with affordable online tuition rates make UND a best-value university for online education. UND's breadth of online programs rivals all other nonprofit universities in the Upper Midwest making UND one of the best online schools in the region.

UND ranks among the best online colleges in the nation for:

  • Affordability
  • Student satisfaction (retention rate)
  • Academic quality (4-year graduate rate)
  • Student outcomes (20-year return on investment per Payscale.com)

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Explore More Options

Connect with faculty you'll work with at UND or discover similar graduate certificates.

  • School of Electrical Engineering & Computer Science
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