This introductory course aims at comprehensive but accessible coverage of artificial intelligence concepts and technology by using an application-driven organization that covers the technology in several application areas followed by mathematical skills and programming tools when needed.
This introductory course aims at comprehensive but accessible coverage of artificial intelligence concepts and technology by using an application-driven organization that covers the technology in several application areas followed by mathematical skills and programming tools when needed.
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The Certificate of Completion (CCL) in Artificial Intelligence and Machine Learning focuses on building machine learning models that can be used for predicting, making decisions and enhancing human capabilities.
This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
This course introduces principles of artificial intelligence, machine learning, and deep learning with a focus on applied techniques. Students will examine software, programming languages, and algorithms used to parse and analyze data and automate computer decision-making processes.
Artificial intelligence (AI) aims to create intelligent machines. Machines can act and react like humans with access to expansive information about the world—with machine learning (ML) being a core part of AI.
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