Four modules build an AI-driven omnichannel brand campaign: creative generation and testing, predictive audience targeting and personalization, automated experiments/A-B and multivariate tests, cross-channel attribution, predictive KPIs and performance dashboards. The course addresses balancing ROAS/CAC with long-term brand equity. The course page lists 20 assignments
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Three modules teach an AI-assisted micro-influencer workflow: define a niche- and audience-fit persona, voice, content pillars, cadence and platform KPIs, use generative AI to adapt a core post into LinkedIn, X, Instagram and TikTok…
Intermediate, self-paced course. Three hours, three modules and five assignmentsCheck current priceEnglish
Four modules cover AI social content/visuals, audience personas and trend insight, plus campaign optimization via performance analysis, A/B testing and creative refinement, the page lists seven assignments
Four modules, about five hours and seven assignmentsCheck current priceAsk about teaching language
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