AI-Driven Marketing Strategies
Learn to leverage AI for customer engagement, network effects, and competitive advantage in digital marketing.
Learn to leverage AI for customer engagement, network effects, and competitive advantage in digital marketing.
This course explores the transformative potential of Artificial Intelligence in marketing strategies. Developed by the University of Virginia's Darden School of Business, it provides a comprehensive overview of how AI can drive business success and create sustainable competitive advantages. Through four modules, learners examine the key forces enabling AI in marketing: Algorithms, Networks, and Data. The curriculum covers machine learning, network effects, data-driven AI, and AI Relationship Moments. Real-world case studies from industry leaders like Ford, Netflix, Disney+, and The Washington Post illustrate practical applications. Participants gain insights into developing networked business models, leveraging customer data, and creating personalized marketing strategies using AI tools.
4.6
(219 ratings)
38,945 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
Powered by
What you'll learn
Use data-driven AI to improve customer engagement
Develop networked business models and leverage network effects
Build a sustainable competitive advantage from data gathered on digital platforms
Use algorithms, networks, and data to create AI Relationship Moments
Understand the applications of machine learning and deep learning in marketing
Analyze case studies of successful AI implementation in major companies
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
11 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This course provides a comprehensive exploration of Artificial Intelligence in marketing, focusing on its practical applications and strategic implications. Learners begin by understanding the fundamentals of AI, including machine learning and deep learning, and their role in marketing. The curriculum then delves into the power of networks and network effects, using case studies from the automotive industry to illustrate how AI is reshaping traditional markets. Data-driven AI strategies are examined through the lens of competitive advantage, with a detailed look at the streaming industry battle between Netflix and Disney+. The course culminates in the concept of AI Relationship Moments, demonstrating how algorithms, networks, and data combine to create personalized marketing strategies. Throughout, real-world examples and expert interviews provide practical insights into implementing AI in various marketing contexts.
What Is AI?
Module 1 · 2 Hours to complete
Networks and Network Effects
Module 2 · 2 Hours to complete
Data-Driven AI
Module 3 · 2 Hours to complete
AI Relationship Moments
Module 4 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Rajkumar Venkatesan, Ronald Trzcinski Professor of Business Administration at the University of Virginia
Rajkumar Venkatesan is a Professor of Business Administration at the Darden Business School, University of Virginia, specializing in the intersection of AI, digital strategy, marketing, and analytics. He has authored two influential books, Cutting Edge Marketing Analytics and AI Marketing Canvas, and has published numerous case studies and peer-reviewed articles. Venkatesan engages with MBA and corporate executive students globally through courses such as marketing analytics, digital marketing, and AI in marketing. He developed the innovative MBA/MSDS dual degree program and the popular tech immersion course in San Francisco. As the Academic Director for the AI Initiative and the Master of Science in Business Analytics degree at UVA, he consults with enterprises across various industries to address strategic challenges through analytics. His contributions include developing tools like the Marketing Analytics Canvas and the AI Marketing Canvas to enhance collaboration among marketers and analytics teams.
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.
4.6 course rating
219 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.