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AI Fundamentals for Non-Data Scientists

Learn essential AI concepts, from machine learning to generative AI, designed for business professionals and leaders.

Learn essential AI concepts, from machine learning to generative AI, designed for business professionals and leaders.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI For Business Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.8

(449 ratings)

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AI Fundamentals for Non-Data Scientists

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand big data and machine learning fundamentals

  • Master AI tools like Teachable Machine and TensorFlow

  • Learn to evaluate and optimize ML algorithms

  • Explore generative AI applications in business

Skills you'll gain

Machine Learning
Big Data
Deep Learning
Neural Networks
AutoML
TensorFlow
Generative AI
Business Analytics
Data Management
AI Strategy

This course includes:

4.75 Hours PreRecorded video

3 quizzes, 1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course introduces artificial intelligence fundamentals to business professionals without technical backgrounds. Students learn about machine learning methods, deep learning, and big data analysis through practical business applications. The curriculum covers essential topics from data management to generative AI, featuring real-world case studies and industry expert interviews. Special emphasis is placed on AutoML tools and no-code solutions for implementing AI in business contexts.

Big Data and Artificial Intelligence

Module 1 · 2 Hours to complete

Training and Evaluating Machine Learning Algorithms

Module 2 · 2 Hours to complete

ML Application and Emerging Methods

Module 3 · 1 Hours to complete

Industry Interview

Module 4 · 1 Hours to complete

Generative AI

Module 5 · 2 Hours to complete

Fee Structure

Instructors

Kartik Hosanagar
Kartik Hosanagar

4.8 rating

604 Reviews

2,36,556 Students

8 Courses

Professor

Kartik Hosanagar is a distinguished Professor at The Wharton School of the University of Pennsylvania, where he specializes in the digital economy, focusing on internet media, marketing, and e-commerce. Recognized as one of the world's top 40 business professors under 40, he has received multiple teaching awards, including the MBA and Undergraduate Excellence in Teaching awards at Wharton. His research contributions have earned accolades such as the best paper award at the Consortium on Technology Policy and Management.In addition to his academic achievements, Kartik is a co-founder of Yodle Inc., a venture-backed company recognized among the top 50 fastest-growing private firms in the U.S. He has served on advisory boards for various startups and has consulted for major corporations like Google, Nokia, and American Express. Kartik holds a Bachelor's degree in Electronics and a Master's in Information Systems from Birla Institute of Technology and Sciences (BITS, Pilani), India, along with an MPhil and PhD in Management Science and Information Systems from Carnegie Mellon University.At Wharton, he teaches several courses that bridge technology and entrepreneurship, including "AI Applications in Marketing and Finance," "Entrepreneurship 1: Developing the Opportunity," and "Wharton Entrepreneurship Capstone." Through these courses, Kartik equips students with the knowledge and skills necessary to navigate the complexities of modern business landscapes.

 Prasanna Tambe
Prasanna Tambe

4.9 rating

186 Reviews

47,504 Students

3 Courses

Associate Professor of Operations

Dr. Prasanna (Sonny) Tambe is an Associate Professor of Operations, Information and Decisions at The Wharton School of the University of Pennsylvania. His research focuses on the intersection of data science, artificial intelligence (AI), and human resources, particularly how these technologies impact labor markets and workforce dynamics. Dr. Tambe's work has been recognized with several prestigious awards, including the Best Published Paper in Information Systems Research, and he serves on the editorial board for Management Science.Dr. Tambe holds a Bachelor’s and Master’s degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) and earned his Ph.D. in Managerial Science and Applied Economics from Wharton. His courses, such as "AI Applications in People Management" and "AI Strategy and Governance," equip students with essential skills to navigate the complexities of modern business environments influenced by technology. Through his innovative teaching and impactful research, Dr. Tambe continues to shape the future of operations management and workforce development in the digital age.

AI Fundamentals for Non-Data Scientists

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.8 course rating

449 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.