Two modules introduce AI in digital marketing and AI/social engagement. The second uses a brand-engagement case study with network mapping and deep autoencoders, page lists an application assignment and an ethical social-insights…
University of Maryland, College Park · Coursera
Listed level: Intermediate — explicitly published in the course metadata
Two modules introduce AI in digital marketing and AI/social engagement. The second uses a brand-engagement case study with network mapping and deep autoencoders. Page lists an application assignment and an ethical social-insights discussion
Access and subscriptions
Check enrollment and software access
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.
Four modules use social, search, review and cultural signals for sentiment, brand-health and competitor analysis, build dynamic personas and ML-based segmentation/trend forecasts, and produce an ethical, privacy-aware multi-source…
Intermediate, self-paced course. Coursera estimates two weeks at 10 hours per week. Four modules and 18 assignmentsCheck current priceEnglish
Four modules cover AI brand research and ethics, social listening, sentiment, audience clustering and brand-health measures, predictive engagement, personalization, marketing automation and A/B testing, and a Power BI/Google Data Studio…
Advanced, self-paced course. Coursera estimates one week at 10 hours per week. Four modules and 13 assignmentsCheck current priceEnglish