AI Marketing Courses

AI Email Marketing Courses · page 10

Compare AI courses for email marketing, lifecycle messaging and customer communication.

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150 courses in this collection

Marketing focus

Using GenAI for Tailored Customer Emails

Coursera

Covers email-marketing practice, customer segmentation/persona creation, and prompting or rewriting email content for specific segments and personas

Published estimated study commitment: 3 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish
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Marketing focus

AI Technology for Marketing Optimization

Davidson College

Two modules cover predictive analytics, real-time optimization, NLP and neural networks, then AI market research, customer segmentation, copywriting, email personalization, social scheduling and strategy optimization

Three weeks at 3–5 hours per week. Self-pacedUSD 99 · Publisher course metadata labels a USD 99 option Paid and a separate option Partially Free. Exact entitlements, tax and checkout terms untestedEnglish
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Marketing focus

Microsoft 365 Copilot for Marketing and Campaign Automation

AI CERTs

Seven modules apply Copilot to campaign planning, ad/social/email content, market trends, segments, A/B variants, Power BI/Excel monitoring, Copilot Studio content-request and brand-guideline agents, responsible AI and an end-to-end…

Seven modules, about nine hours, intermediate, seven assignmentsCheck current priceEnglish
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Marketing focus

Upgrade Your Marketing Strategy with Microsoft Copilot

Microsoft

Four modules cover Copilot setup/responsible use in a marketing organization, prompts and use in research, customer analysis, campaign planning, creative, pricing, CX and retention, competitive/channel analysis and performance reports,…

Four modules, about one week at ten hours/week. 13 assignments and peer-reviewed projectCheck current priceEnglish
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Marketing focus

AI Content & Email Marketing Mastery

LearnKartS

Three modules cover ChatGPT/Gemini copy and SEO content, AI workflow for blogs, videos, podcasts and social repurposing, MailerLite email sequences, personalization, delivery/subject optimization, testing and campaign analytics

Three modules. About one week at ten hours/week. 23 assignmentsCheck current priceEnglish
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Marketing focus

Generative AI in Marketing

Board Infinity

Two modules apply GenAI to blogs, ads, social/video, personalization and email, audience targeting, A/B tests, predictive analytics, sentiment and campaign optimization, with applied case studies

Two modules, about five hours and eight assignmentsCheck current priceEnglish
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Marketing focus

Generative AI Course for Marketing, Sales, and Campaigns

Simplilearn

Three modules apply GenAI to channel content, images/video, personalized campaigns, KPI analytics and marketing strategy, then sales forecasting, CRM/churn, lead generation, cross-sell/up-sell and ethics, includes product…

Three modules, about one week at ten hours/week. 17 assignmentsCheck current priceEnglish
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Marketing focus

Inteligencia Artificial aplicada al Marketing

Universidad de Palermo

Four modules cover AI content/campaign ideas, AI/no-code sites, shops and apps, marketing process automation with Systeme.io/Make including funnels, leads and email, and AI social video/multimedia production and publishing

Four modules, about two weeks at ten hours/week. 13 assignmentsCheck current priceSpanish
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Marketing focus

AI-Powered Marketing & CRM

Coursera

Fourteen modules cover personalized AI email/content and prompt libraries, HubSpot CRM cleanup and audit, AI lead scoring/nurture, CLV/cohort calculations, and a final SaaS-feature campaign project combining CRM cleanup, a scoring model…

Published estimated study commitment: 1 week to complete at 10 hours a week. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish
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Marketing focus

Machine Learning for Marketing in Python

DataCamp

Four chapters (16 videos, 53 exercises) implement marketing ML: logistic regression/decision trees and churn-driver interpretation on telecom data, RFM/linear-regression next-month CLV prediction for an online retailer, and k-means/NMF…

Intermediate Python, four hours. 16 videos and 53 interactive exercises. Prerequisite: Supervised Learning with scikit-learnCheck current priceAsk about teaching language
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Marketing focus

Customer Segmentation in Python

DataCamp

Four chapters (17 videos, 55 exercises) use online-retailer transactions for cohort acquisition/retention metrics, RFM value scoring and custom segments, then prepare and scale RFM features, fit k-means and interpret the resulting…

Intermediate Python, four hours. 17 videos and 55 interactive exercises. Prerequisite: Supervised Learning with scikit-learnCheck current priceAsk about teaching language
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Marketing focus

Supervised Learning and Its Applications in Marketing

O.P. Jindal Global University

Python/scikit-learn supervised workflows include marketing-engagement prediction, product recommendation, three-month customer lifetime value, neural-network churn prediction and model deployment

12 modules and 36 assignments. Coursera estimates two weeks at ten hours per weekCheck current priceAsk about teaching language
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