AI in Digital Marketing is designed to equip digital marketers, brand strategists, and business leaders with essential AI tools and techniques. Participants will explore AI's transformative role in enhancing customer engagement, personalizing marketing strategies, and optimizing content creation. Through engaging video lectures, scenario-based discussions, and real-world case studies, learners will connect theoretical knowledge with practical applications, addressing ethical considerations like data privacy and bias. By the end of the course, students will be prepared to effectively harness AI's potential in digital marketing, ensuring competitive advantage and strategic innovation in the digital age.



AI in Digital Marketing
This course is part of Advanced Digital Marketing Specialization

Instructor: Pallassana K Kannan
Access provided by New York State Department of Labor
Skills you'll gain
- Generative AI
- Social Media
- Marketing Strategies
- Artificial Intelligence
- Digital Marketing
- Customer Insights
- Business Ethics
- AI Personalization
- Social Media Marketing
- Customer Analysis
- Predictive Analytics
- Marketing Analytics
- Customer Engagement
- Content Marketing
- Customer experience improvement
- Marketing Automation
- Data-Driven Decision-Making
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2 assignments
March 2025
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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 糖心vlog官网观看 platform and support resources, Also, we will dive into the AI's impact on digital marketing. As artificial intelligence continues to advance, it鈥檚 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
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