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,…
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, KPIs and risks. Use social-listening signals and provided competitor-keyword data to identify gaps and propose counterstrategies. Integrate campaign measures in a dashboard, create a Tableau campaign comparison, interpret ROAS/ROI, and recommend budget reallocations. The final graded project combines buyer-journey analysis, competitive positioning, project scheduling and budget optimization into an AI-informed strategy artifact. The page explicitly describes this as strategy and decision work rather than ad, SEO-content, prompt or keyword production. The page lists 16 assignments
Audience and starting point
Best suited to learners who have completed earlier SEO and AI-content courses or have basic marketing experience
Practice and assessment
Assessment: Published listing: 16 assignments. Advertised AI grading. Actual marking quality and instructor feedback untested. Retained assessment detail: Published listing: 16 assignments. Advertised AI grading. Actual marking quality and instructor feedback untested
Access and subscriptions
Coursera displays a free enrollment option. No sign-in, enrollment or learner access was tested
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.
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
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