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Building AI Products

star 4.23  Beginner level 7.5 learning hrs 590 Learners

This course is ideal if you are a software developer or a technology professional who wants to better understand the principles and tools of AI technology and explore the different design processes applied to AI-based products.

Instructor:

Dr. Kumar Muthuraman

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About this course

This course will assist you in understanding design concepts and applications of artificial intelligence (AI) across several industries whether you are a technology expert or business owner working in the field of artificial intelligence (AI). The objective is for you to develop a proposal for an AI-based solution that you can show to investors or internal stakeholders. You will gain knowledge of the various steps involved in designing AI-based solutions as well as the principles of deep learning and machine learning algorithms. You will then apply what you have learned to address real-world issues.

Through deploying the right AI technology, your business may automate repetitive tasks, gain insights using data analytics, and improve customer engagement. It's hardly remarkable that the top position on LinkedIn's Emerging Jobs Report for 2020 is AI Specialist given the variety of applications that AI has in enterprises. Every industry is screaming for AI talent to first develop a strategy plan for AI applications, and then assist in managing and optimising them in practise. This position has an annual growth rate of 74%.

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Building AI Products

rating icon 4.23

7.5 Hours

Beginner

590 learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

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Learner reviews of the Free Courses

4.23
64%
17%
10%
2%
7%
Reviewer Profile

5.0

United States
“Building AI Products: The Need to Define the Problem Before the Solution”
Great class for basic information and case studies. Vital information on the foundations of defining the market, understanding the customer's needs/problems, and building a useful solution that serves the customer.
Reviewer Profile

4.0

United States
“Intriguing AI Product Strategy Course”
This course provided valuable insights into AI product strategy, emphasizing practical applications and real-world use cases. The sessions on Kano analysis and supervised learning were particularly enlightening, offering clear frameworks for understanding customer needs and technical implementation. Overall, it was a well-structured and informative course.

Our course instructor

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Dr. Kumar Muthuraman

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

IT & Software Expert

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63.5K+ Learners
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7 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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