Certificate in AI and Machine Learning
As part of a Berkshire Science Foundation (NSF) sponsored initiative, Berkshire 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 Berkshire 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.
Course Name
ANA 500 Python for Data Science – 4.50
Recommended Preparation: Prior experience in computer programming languages such as R is helpful.
Learn python programming language and apply to data science applications.
ANA 670 Applied Optimization Methods – 4.50
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.
ANA 675 Neural Network & Deep Learning – 4.50
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.
ANA 680 Machine Learning Deployment – 4.50
Prerequisite: ANA 675
Deploy machine learning models in the cloud. Optimize ML models for a variety of applications in industry.
ANA 505 AI & Optimization Topics – 4.50
Investigate advanced topics in Artificial Intelligence and Optimization in state-of-the-art applications.
Degree and Course Requirements
Program Learning Outcomes
Upon successful completion of Berkshire 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
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.