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Course Description

The field of artificial intelligence (AI) has undergone many transformations since its inception in the late 1950s and 1960s. In this century, AI researchers and experts have focused on machine learning approaches, a key application of technology for life today.

In this course, you will review the key dimensions of machine learning and examine some of the major types of machine learning. You will investigate why machine learning is important and explore when machine learning works, when it does not, and what kinds of challenges you may face in implementing it. You will also identify ways in which machine learning is being used to address challenges and solve problems in both your personal and professional lives. By discovering the fundamentals of neural networks, including their strengths and limitations, you will examine how neural networks and supervised learning work. Finally, you will delve into advanced machine learning topics, including “deep fakes,” generative adversarial networks (GANs), reinforcement learning, and dealing with complex worlds, all providing you with valuable perspective on many key technologies impacting society today.

Faculty Author

Soumitra Dutta

Benefits to the Learner

  • Identify when to apply machine learning technologies
  • Explore how neural networks and supervised learning work
  • Investigate advanced machine learning topics

Target Audience

  • Managers and senior leaders across functions, including tech, operations, finance, and HR
  • Product managers and developers
  • Individuals focused on strategic change using evolving technology trends

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Sep 18, 2024 to Oct 01, 2024
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $0.00
Type
2 week
Dates
Nov 13, 2024 to Nov 26, 2024
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $0.00
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