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Building AI Products

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
Beginner

Level

7.5 Hrs

Learning hours

583

Learners

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Building AI Products

7.5 Learning Hours . Beginner

Skills you will learn

AI Products
Industry
Future of AI Products

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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Earn a certificate of completion

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Master in-demand skills & tools

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Building AI Products

7.5 Learning Hours . Beginner

Trusted by 10 Million+ Learners globally

What our learners enjoyed the most

Our course instructor

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Dr. Kumar Muthuraman

Professor, McCombs School of Business, the University of Texas at Austin

IT & Software Expert

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68.4K+ 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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