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Certificate in AI
and Machine Learning

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Home » Programs » Certificate in AI and Machine Learning

Update your skills to stay current with rapid advancements in technology

As part of a National Science Foundation (NSF) sponsored initiative, National University’s MS Data Science program offers a graduate certificate in Artificial Intelligence (AI) and Machine Learning. This specialization is designed to educate a diverse workforce to accelerate fundamental AI capabilities and pursue research and practical application of AI and machine learning across a wide range of industries, including engineering, healthcare, computer science, business, and cybersecurity.

The National Science Foundation (NSF) has awarded a $20 million grant to a partnership of prestigious universities led by University of California, San Diego, and that includes National University, Yale University, Massachusetts Institute of Technology, University of Pennsylvania, and University of Texas at Austin. Working together, the universities will form The Institute for Learning-enabled Optimization at Scale (TILOS).

Our five-year research partnership will focus on the optimization of artificial intelligence (AI) and machine learning. We will work closely with industry leaders to develop optimization tools that will enable real-world improvements in key industries, including chip design, robotics, and communications networks. State-of-the-art analytical software will be used in all courses.

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Course Details

Certificate Requirements

Students must complete 5 courses (22.5 quarter units) for the graduate certificate in AI and Machine Learning.

Course Name

Recommended Preparation: Prior experience in computer programming languages such as R is helpful.

Learn python programming language and apply to data science applications.

Recommended Preparation: Python programming experience or ANA 500 Python for Data Science.   

Model optimization problems in a variety of applications in machine learning and artificial intelligence. Identify suitable optimization algorithms for different applications in industry.

Prerequisite: ANA 670
Apply neural network analytical methods to a variety of applications in artificial intelligence using python. Analyze deep learning predictive models in industrial applications.

Prerequisite: ANA 675

Deploy machine learning models in the cloud. Optimize ML models for a variety of applications in industry.

Investigate advanced topics in Artificial Intelligence and Optimization in state-of-the-art applications.

This program doesn’t have any specializations

Program Learning Outcomes

Upon successful completion of National University’s Certificate in AI and Machine Learning, you’ll be able to:

  • Use Python for AI and machine learning applications in data science
  • Explore optimization methods and algorithms
  • Evaluate neural networks and deep learning models
  • Deploy machine learning models in the cloud

Hear From Our Faculty

Dr. Jodi Reeves

“This is a wonderful opportunity to collaborate with some of the most prestigious universities in the world to create a state-of-the-art curriculum and bring AI and Optimization education to National University’s students,”

 Dr. Jodi Reeves, Associate Dean of COPS, Academic Program Director, MS in Data Science

Admissions

Enrolling in a university is a big decision. That’s why our dedicated admissions team is here to guide you through the admissions process and help you find the right program for you and your career goals.

To that end, we’ve simplified and streamlined our application process, so you can get enrolled in your program right away. Because we accept and review applications year-round, you can begin class as soon as next month, depending on your program and location of choice.

Learn more about undergraduate, graduate, military, and international student admissions, plus admissions information for transfer students. You can also learn more about our tuition rates and financial aid opportunities.

To speak with our admissions team, call (855) 355-6288 or request information and an advisor will contact you shortly. If you’re ready to apply, simply start your application today.

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Program Disclosure

Successful completion and attainment of National University degrees do not lead to automatic or immediate licensure, employment, or certification in any state/country. The University cannot guarantee that any professional organization or business will accept a graduate’s application to sit for any certification, licensure, or related exam for the purpose of professional certification.

Program availability varies by state. Many disciplines, professions, and jobs require disclosure of an individual’s criminal history, and a variety of states require background checks to apply to, or be eligible for, certain certificates, registrations, and licenses. Existence of a criminal history may also subject an individual to denial of an initial application for a certificate, registration, or license and/or result in the revocation or suspension of an existing certificate, registration, or license. Requirements can vary by state, occupation, and/or licensing authority.

NU graduates will be subject to additional requirements on a program, certification/licensure, employment, and state-by-state basis that can include one or more of the following items: internships, practicum experience, additional coursework, exams, tests, drug testing, earning an additional degree, and/or other training/education requirements.

All prospective students are advised to review employment, certification, and/or licensure requirements in their state, and to contact the certification/licensing body of the state and/or country where they intend to obtain certification/licensure to verify that these courses/programs qualify in that state/country, prior to enrolling. Prospective students are also advised to regularly review the state’s/country’s policies and procedures relating to certification/licensure, as those policies are subject to change.

National University degrees do not guarantee employment or salary of any kind. Prospective students are strongly encouraged to review desired job positions to review degrees, education, and/or training required to apply for desired positions. Prospective students should monitor these positions as requirements, salary, and other relevant factors can change over time.

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