Compare AI courses for email marketing, lifecycle messaging and customer communication.
150 courses in this collection
Eduonix Learning Solutions
Design and launch marketing agents, then implement email automation, social-media automation and content assistance, seven lessons form a focused 44-minute course
Dinçer Aydın
Create property descriptions, YouTube content, Reels scripts, Facebook ads and email campaigns with ChatGPT in a real-estate marketing sequence
Gopaluni Sai Karthik
Study recommendation systems, machine-learning and NLP marketing applications, with separate churn-prediction and sentiment-analysis lesson sequences
Start-Tech Academy , Abhishek Bansal , Pukhraj Parikh
Analyze AI marketing cases across ads/email/SEO/chatbots/personalization, evaluate build-versus-buy and strategic readiness, identify high-impact funnel opportunities and set implementation goals, metrics and ethical boundaries
Dr. Amar Massoud
Build marketing data foundations, interpret predictive churn/CLV/propensity models, design experiments and incrementality tests, connect scores to lifecycle journeys and govern optimization decisions
Hibox for Nonprofits
Use AI for donor prospect research, personalized fundraising communications and social, website and email content within a broader nonprofit literacy course
Christ Raharja
Build k-means customer segments, a decision-tree spending predictor and an SVM churn model, select features and interpret models for marketing decisions
Aaron Sanchez
Implement customer-churn classification, behavioral customer clusters and a product recommender using collaborative algorithms within a four-project ML compilation, no component is counted separately
Haytham Omar-Ph.D
Apply k-means to RFM customer data, predict CLV tiers with a decision tree, build a churn pipeline and interpret commercial segments, alongside trade-area/store-location modeling
Christ Raharja
Analyze campaign and retention metrics, use unsupervised customer segmentation, build CatBoost churn and MLP lifetime-value models, and run A/B tests within a broader Excel/Python/Power BI course
Start-Tech Academy , Pukhraj Parikh , Abhishek Bansal
Preprocess customer data and use Excel/XLSTAT regression, clustering and automated logistic models for behavior, churn/retention and sales forecasts
Mark Lee
Use interactive ML simulations and business-pattern exercises to reason about buying cycles, campaign allocation, churn and consumer trends, the course emphasizes decision logic rather than code
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