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Best Universities for Masters certificate program in Artificial Intelligence and Machine Learning
The MSc Computing (Artificial Intelligence and Machine Learning) specialist course focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours. This specialism focuses on artificial intelligence and knowledge engineering, and the development of computational and engineering models of complex cognitive and social behaviours. In the Certificate in Artificial Intelligence Management, you’ll have the unique opportunity to engage with thought leaders in technology and business strategy while exploring how applications of AI can be leveraged for a competitive advantage. Using theoretical frameworks, models, and real-world case studies, you’ll think strategically about how organizational performance and value can be increased in the cognitive enterprise. You’ll also gain insight into the legal, ethical, and policy issues that surround the decisions of leaders within today’s business landscape. The graduate certificate in Business Intelligence & Analytics is designed for practitioners who wish to increase their understanding of specific areas of data, web and social analytics, as well as their ability to manage data-intensive applications in industry. The certificate also prepares managers to understand how the data mined by analysts and scientists can be applied to improve organizational strategy and decision-making.
17 universities offer graduate certificate program in Artificial Intelligence and Machine Learning
Check out our exclusive data on scholarships and financial aid offered by universities for the Master's program in Artificial Intelligence and Machine Learning. There are also 700+ scholarships available from accredited sources with the amount ranging from $1000-$22k.
The Graduate Certificate in Statistics and Machine Learning is designed to formalize the training of students who contribute to or make use of statistics and machine learning as a significant part of their research. In addition, it serves to recognize the accomplishments of graduate students across the University who go beyond the requirements of their own degree programs to acquire additional training in statistics and machine learning.
The certificate is administered by the Center for Statistics and Machine Learning and under the direction of the certificate director (currently, Prof. Peter Ramadge). The academic program coordinator for the Center for Statistics and Machine Learning provides the administrative support.
In this program students learn the foundations of modern data science including computation, machine learning, and statistics, along with specific application domains; and to develop innovative methodologies for extracting information from data.
Artificial Intelligence Graduate Certificate at Stanford University provide a foundation and advanced skills in the principles and technologies that underlie AI including logic, knowledge representation, probabilistic models, and machine learning.
Students can pursue topics in depth, with courses available in areas such as robotics, vision, and natural language processing.
Cornell’s Machine Learning certificate program equips students to implement machine learning algorithms using Python. Using a combination of math and intuition, students will practice framing machine learning problems and construct a mental model to understand how data scientists approach these problems programmatically. Through investigation and implementation of k-nearest neighbors, naive Bayes, regression trees, and others, students will explore a variety of machine learning algorithms and practice selecting the best model, considering key principles of how to implement those models effectively.
Students will also have an opportunity to implement algorithms on live data while practicing debugging and improving models through approaches such as ensemble methods and support vector machines. Finally, the coursework will explore the inner workings of neural networks and how to construct and adapt neural networks for various types of data.
71 universities offer the Master's program in Artificial Intelligence and Machine Learning.
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Certificate in Artificial Intelligence Management at Georgetown University provides a unique opportunity for students to engage with thought leaders in technology and business strategy while exploring how applications of AI can be leveraged for a competitive advantage.
Using theoretical frameworks, models, and real-world case studies, students will think strategically about how organizational performance and value can be increased in the cognitive enterprise. Students will also gain insight into the legal, ethical, and policy issues that surround the decisions of leaders within today’s business landscape.
The Machine Learning (ECE) graduate certificate provides comprehensive training and education on the foundations of machine learning and current software tools. Courses provide a methodological foundation for static and dynamic (i.e., changing over time) problems. The certificate prepares students to apply machine learning methods to a variety of application domains. The Machine Learning (ECE) graduate certificate is available both on-campus and online via the ECE-EDGE program.
Specialized Certificate in Machine Learning Methods at Regents of the University of California will introduce students to the subject matter using a variety of tools including: Linear Algebra, Deep Learning, TensorFlow, and Deep Neural Networks (DNN).
Courses consist of both theoretical and practical skills complementing each other and hence enhancing the machine learning scientist abilities. These courses are designed and classified to train students further in the field of machine learning, as well as coordinating with other engineering disciplines and industrial practices.
Machine learning is the the ability for computers to detect patterns in data and use it to make predictions that is changing our world in profound ways. In this three-course certificate program, You will be prepared for the machine learning scientist or machine learning engineer role. You’ll study the underlying algorithms and statistical methods that are at the core of machine learning techniques. The department will also apply these practices using the most popular tools and platforms — along with your developing judgment and intuition — to address actual business needs and real-world challenges.
The Graduate Certificate in Artificial Intelligence is designed to prepare business leaders for the vast opportunities that AI technologies provide. AI is the next step in the evolution of business technology, fueled by advances in machine learning. Students will learn the fundamentals of machine learning, deep learning, and embedded systems, as well as how to apply them to AI's enterprise applications, such as the Internet of Things (IoT).
By completing the graduate certificate in machine learning for engineering applications, students will develop the capabilities required to apply current tools and appropriate approaches to solve complex problems in a variety of domains. Students will gain a greater technical understanding of the elements of machine learning, including algorithms, intelligent systems, neural networks, pattern recognition and deep learning.
The university recognize the importance of flexibility to those pursuing graduate education, especially to practicing engineers. That’s why they offer you the opportunity to complete our certificates on a full- or part-time basis. In an effort to support engineers completing their certificates, the Dean of the Opus College of Engineering is offering up to 5 tuition scholarship credits for those enrolled in a 12 credit certificate.
The recent advancement in AI (Artificial Intelligence) and Machine Learning has made significant impact in a wide range of research fields and industries. The purpose of this graduate certificate is to prepare students and professionals to understand the foundation and advanced skills in AI and machine learning and to handle the growing demands in applying cutting-edge AI techniques.
What kind of scholarships are available for Graduate Programs in Artificial Intelligence and Machine Learning?
We have 208 scholarships awarding up to $2,024,183 for Masters program in for Artificial Intelligence and Machine Learning, targeting diverse candidates and not restricted to state or school-based programs.
|ASNT Fellowship Award||$20,000||High|
|Google Lime Scholarship||$5,000||High|
|The Innovator’s Grant||$3,600||High|
|GeneTex Scholarship Program||$2,000||High|
|GMiS STEM Scholarships||$500||High|
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Compare the GRE score requirements, admission details, credit requirements and tuition for the Master's Program, from 71 universities offering Graduate Certificate Programs in Artificial Intelligence and Machine Learning. Compare Graduate Certificate Programs in Artificial Intelligence and Machine Learning
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