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Artificial Intelligence Master Class

Instructor:

Dr. Kumar Muthuraman
Beginner

Level

1.5 Hrs

Learning hours

815

Learners

Enroll free with email

About this Course

Everyone talks about Artificial Intelligence around us, but what is it exactly? In this Masterclass, Prof Kumar takes you to the basics of AI and explains its significance. If you are trying to understand this technology, look no further. Prof Kumar is one of our esteemed faculty who decodes AI and Data Science for learners in the most pragmatic way. This one hour is a refresher of all the terms we need to know and how to use them. This will be followed by an introduction to AI, Machine Learning, and Data Science Programs by Milind Kopikare (VP, North America, Great Learning). 

The session will cover :

- What we mean when we talk about AI- a deep dive
- Insights on how to advance or transition your career in AI & Data Science
-FAQ with Prof. Kumar Muthuraman & Milind Kopikare

Check out our PG Courses in Artificial Intelligence Today.

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Course Outline

Artificial Intelligence Master Class

Artificial Intelligence Master Class

4.08
average rating

Ratings

1.5 Hrs

Learning hours

Beginner

Level

815

Learners

Enroll free with email

Trusted by 10 Million+ Learners globally

star

4.8
star

4.89
star

4.94
star

4.7

Our course instructor

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Dr. Kumar Muthuraman

Faculty Director, McCombs School of Business, The University of Texas at Austin

learner icon
69.7K+ Learners
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8 Courses
Dr Kumar is an H. Timothy (Tim) Harkins Centennial Professor in the Department of Information, Risk and Operations Management and the Department of Finance at McCombs School of Business, the University of Texas at Austin. In addition, he serves as the Faculty Director at the Center for Analytics and Transformative Technologies. Before joining the faculty at UT Austin, Dr Kumar was an assistant professor at Purdue University and a graduate research assistant at Stanford University. He received his Ph.D. and M.S. in Scientific Computing and Computational Mathematics from Stanford University and his research focuses on decision making under uncertainty. Application areas of interest to him are quantitative finance, financial risk management, operations management, healthcare, and energy.

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Model Training and Deployment with AWS SageMaker
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Cloud Native DevOps with AWS
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