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…
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 brand dashboard with a strategic data story. The page lists 13 assignments
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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
Nine modules build an AI-informed strategy from concrete analysis tasks: map AI-influenced search and recommendation touchpoints in the buyer journey, translate AI insights into a time-bound, geo-targeted plan with channels, budget,…
Published estimated study commitment: 8 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish
Three modules describe: identifying agent opportunities in campaign planning, social scheduling and A/B testing, prompting for brand-aligned content and sentiment tracking, and CRM integration/performance analytics. Listed course tasks…
Published estimated study commitment: 4 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish