Compare AI training for customer analytics, marketing data and interpreting campaign results.
333 courses in this collection
Packt
Four modules use marketing KPIs and performance measures including conversion, CPA and ROI, regression/decision-tree analysis covers conversion and churn, time series methods such as ARIMA and Prophet address seasonality and trends
Packt
Five modules apply zero/few-shot learning, transfer learning and retrieval-augmented generation to marketing content, product descriptions, personalized campaigns and micro-targeted engagement, ethics and governance are included
Packt
Four modules apply ML to customer sentiment and behavior, A/B testing, recommendations, segmentation and personalized experiences, the page lists four assignments
SkillUp
Three modules and six assignments produce an SEO/GEO project: keyword clusters, AI-optimized blog content, structured data/schema, evaluation and a final case study
SkillUp
Two modules introduce AI search/GEO including Google AI Overviews and Perplexity, entities/intent/context, content formats and schema-backed answers, practical implementation and measurement
SkillsBooster Academy
Six modules cover the RACE prompt framework, AI technical audits, agentic monitoring, AI search/Google algorithms, Search Console analysis with LLMs, keyword and content-gap research, intent, E-E-A-T, metadata and predictive SEO
Coursera
Applies GenAI to product marketing: practice with ChatGPT and Google Ads AI, optimize campaigns with data-driven frameworks, and evaluate campaign metrics to guide strategic decisions
Coursera
Four modules follow a distinct market-research-to-planning arc: GenAI in market research/consumer behavior, big-data preprocessing, cleaning and visualization using a Nike case, then a customer-insights strategy hands-on activity and…
Coursera
Learners create AI-personalized content across channels, analyze customer data and segments, use behavior analysis to improve content, and optimize campaigns using real-world examples
Coursera
One module teaches applied customer-data workflows: AI-driven feedback processing, customer segmentation, trend forecasting, personalized interactions, and using results to improve customer experience and retention. The page includes…
Coursera
Create personalized ad creatives with Gemini, Bannerboo or Elai, automate Google Ads AI and Facebook Ads Manager campaigns with targeting/budgeting, and analyze CPA, CTR and ROAS to optimize results
Coursera
Covers email-marketing practice, customer segmentation/persona creation, and prompting or rewriting email content for specific segments and personas
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