University of Maryland, College Park
AI in Digital Marketing
University of Maryland, College Park

AI in Digital Marketing

Pallassana K Kannan

Instructor: Pallassana K Kannan

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
1 hour to complete
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

March 2025

Assessments

2 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Advanced Digital Marketing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 2 modules in this course

In this first module, we will introduce you to the course and the objectives. You'll have the opportunity to meet your instructor, connect with your peers, and get familiar with the Coursera platform and support resources, Also, we will dive into the AI's impact on digital marketing. As artificial intelligence continues to advance, it’s reshaping the digital marketing landscape in powerful ways. We will explore how AI, particularly generative AI, impacts specific areas of digital marketing, from creating high-quality, targeted content to optimizing customer engagement and conversion strategies. Learners will gain insight into real-world applications of AI, such as personalized marketing campaigns, content generation, predictive analytics, and ad optimization.

What's included

4 videos3 readings1 assignment1 discussion prompt

This module explores how AI can harness this data to provide valuable insights for marketers. Through a case study on brand engagement analysis, learners will discover how AI techniques, such as network mapping and deep autoencoders, allow brands to understand customer sentiment, identify market opportunities, and improve brand positioning. By the end, participants will grasp how to leverage AI to make data-driven marketing decisions that foster stronger connections with customers.

What's included

2 videos2 readings1 assignment1 discussion prompt

Instructor

Pallassana K Kannan
University of Maryland, College Park
2 Courses788 learners

Offered by

Recommended if you're interested in Marketing

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Marketing? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions