Certificate in AI and Machine Learning
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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.
The Western Association of Schools and Colleges (WASC) accredits public and private schools, colleges, and universities in the U.S.
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.
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
“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
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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.
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