AI marketing course directory
1,008 offerings · page 18 of 21. Use course search to narrow the list.
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…
Coursera
Nine modules teach qualitative interviews/AI focus groups, branching questionnaire design, conjoint and sampling/power, SurveyMonkey setup, LLM-assisted moderation/transcript synthesis with hallucination checks, GDPR consent, data…
Coursera
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,…
Coursera
One module teaches the AI inference pipeline and prompting for on-brand marketing visuals, SEO-ready alt text and accessibility. Five assignments and a final project apply the workflow to publishable campaign assets
University of California, Davis
Three modules provide text, image and video production labs: develop captions and platform variants for Instagram/LinkedIn/X/short-form, generate and edit visuals, create short-form video, localize content, and apply…
University of California, Davis
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…
University of California, Davis
Three modules analyze exported LinkedIn engagement metrics and comments, apply sentiment analysis, forecast 30-day engagement, compare cross-platform results and produce a data-backed optimization plan using a spreadsheet dataset
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…
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…
DataCamp
Four chapters (15 videos, 52 exercises) teach Apriori association rules and support, confidence, lift, conviction and related metrics, with interactive cross-selling/recommendation tasks for grocery, library, e-book, novelty retail and…
IBM
Four guided lab assignments produce keyword clusters and briefs, multilingual meta titles/descriptions, JSON-LD Article/FAQ/HowTo/Product markup, and an optimized SEO blog post. The course teaches prompt patterns, validation and…
University of Colorado System
Marketing applications of R-based CART and random forests, cross-validation/model comparison, causal trees and forests for targeting, segmentation, principal-component analysis and recommender systems
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
O.P. Jindal Global University
Python marketing workflows cover k-means, hierarchical and DBSCAN segmentation, PCA, t-SNE and autoencoders, anomaly detection, association mining, semi-supervised methods, and recommender systems
O.P. Jindal Global University
Marketing text-mining curriculum applies sentiment, topic modeling, NLP, named-entity recognition, classification, topic clustering and predictive analysis to customer reviews, social posts, feedback and news. Named uses include…
University of Colorado Boulder
Python/JSON practicals apply unsupervised text analysis to YikYak sentiment segmentation and Amazon reviews, with TF-IDF/topic models, BERTopic and text networks
University of Colorado Boulder
Practical workflow defines a codebook and gold labels, constructs a feature matrix, trains an elastic-net text classifier, then validates on held-out data using metrics and learning curves, Python/scikit-learn/TensorFlow are listed
DataCamp
R workflows use linear regression for customer lifetime value, logistic regression for churn, Kaplan-Meier/Cox survival analysis for time to reorder and churn, and PCA on CRM data
Coursera
Google Analytics audience segmentation and export, AI-assisted sentiment/theme analysis and NLP clustering, A/B validation, churn model checks using precision/recall, and automated Looker Studio dashboards/reports
DataCamp
Dedicated Telco Churn workflow: exploratory analysis, feature selection/engineering, supervised scikit-learn prediction, train/test split, confusion matrix and accuracy/precision/recall/ROC-AUC/F1, tuning and feature importance
DataCamp
Builds click-through-rate prediction from advertising data: feature creation, classification/decision trees, cross-validation, regularization, random forests and grid-search tuning, evaluates predictions against ad-spend ROI
University of Illinois Urbana-Champaign
Marketing analytics applies causal analysis and AI/ML predictive models to customer behavior, text/sentiment/topic/network analyses to user, firm and AI-generated content, and conjoint analysis to preference, examples address CLV, churn…
O.P. Jindal Global University
Marketer-facing decision workflows use CLV/value and lifecycle, likelihood to buy/engage, personalized recommendations, clustering/personas, remarketing/lookalikes, churn and marketing automation/data governance. This public outline is…
Packt
Python workflow covers ETL/Singer and Streamlit, causal/regression analysis, Prophet/ARIMA KPI forecasting, STL/S-H-ESD/Bayesian change-point anomaly detection, k-means/RFM, decision trees/random forests, LDA/QDA and PyMC Marketing BTYD…
SkillsBooster Academy
Seven modules cover reusable marketer prompt libraries and Notion content templates, AI-assisted content strategy, calendars and competitor analysis, SEO and content repurposing, audience segmentation, predictive analytics and a…
John Wiley & Sons
The 24-module book-based course includes AI/ML behavioral segmentation and persona development, predictive lead scoring, customer lifetime value and dynamic pricing, churn models and retention measurement, NLP/sentiment, predictive…
AI CERTs
Eight modules cover AI in marketing, AI-driven content and personalization, social media/email, marketing analytics, ethical use, AI marketing strategy, multichannel campaigns and marketing agents. The public page lists seven…
Coursera
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…
SkillsBooster Academy
Five modules use marketing frameworks (Product-Market Fit, Jobs-to-be-Done, NPS, trends and business constraints) with Copilot for market research, social content, image creation, keyword research, email, scenario forecasting, content…
Board Infinity
The two-module course uses a sample brand, BrewBuddy. The SEO module covers AI-search/GEO/AEO, keyword discovery, intent maps, topic clusters, an SEO content brief, an AI-assisted draft and on-page optimization. The advertising module…
UC Online (University of Canterbury)
Four modules: (1) identify how GenAI works, its creative limits and prompt engineering, (2) examine GenAI use in digital marketing and select effective, efficient marketing applications, (3) address plagiarism, accuracy, confirmation…
RMIT Online
Select, implement and justify AI and marketing technology for an existing marketing activity, with responsible AI practices. The final project presents the initiative in a five-minute video with supporting documentation
University of Sydney Centre for Continuing Education
Audience profile, content strategy, four-week calendar, visual/video/social content, workflow and measurement tasks
University of Sydney Centre for Continuing Education
Advanced prompting for marketing research, competitor/customer analysis, email/social/web content and tone, image/video generation and workflow/GPT automation
University of Sydney Centre for Continuing Education
Marketing module covers personas and marketing copy/content for social, email and web
Marketing Association New Zealand
Uses AI to discover audience patterns and turn them into human-centred personalization actions, requires AI Meets Marketing and Advanced AI in Marketing or equivalent
PolyU SPEED
Generative AI/AIGC, AI search/AEO, agentic AI, social marketing, AI analytics, ethics/privacy, workshops/labs and capstone
Universidad del Rosario Educación Continua
Modules include market research/data, AI strategy/planning, content/storytelling, social/community and Google/Meta advertising
Pontificia Universidad Católica del Perú (PUCP), Educación Continua
Prompt engineering, copy/content, social, SEO, ads/funnels, image/video, analytics/CRO, customer service and privacy/ethics
Universidad de La Sabana, Educación Continua
96-hour curriculum applies AI to marketing, including machine-learning/influencer AI, NLP for strategy/content, automation and campaign optimization
Universidad de La Sabana, Educación Continua
Includes separate 9-hour AI-applied-to-marketing and 9-hour Innovation, Design Thinking & AI in Marketing modules, applies AI/data to growth planning
Universidad Complutense de Madrid, Centro de Formación Permanente
Customer intelligence, analytics/AI for prediction, personalization, automation and content, evidence-based decisions, applied project
CREA Genève (OMNES Education)
AI for content, search and automation alongside digital acquisition, social, analytics and CRM
WYLAB, in collaboration with AIPIA
Exercises/project work in content, advertising, process automation, email/social, reporting/KPIs and a company AI marketing plan, final test for certificate
Akademie der Deutschen Medien
Exercises in selecting/prompts for text, image and audio marketing content across channels, target/data analysis and workflow, participants apply tasks to their own marketing work
Münchner Marketing Akademie
Five-day broad AI-marketing certificate: (1) AI marketing foundations, target/trend/sentiment research, profiling/journey/segmentation, prompt and strategy, (2) AI SEO keyword clusters/on-page analysis, funnels, lead magnets, social…
Münchner Marketing Akademie
Five-day specialist certificate focused on assembling an AI marketing-automation system: (1) GPT funnel architecture/journey map, (2) email nurture and trigger sequences, GPT copy/A-B variants and CRM-personalized content, (3) CRM data…
Münchner Marketing Akademie
Five-day specialist certificate for AI-enabled social-media operations: (1) cross-platform strategy, competitor/audience analysis, personas and KPI goals, (2) GPT-generated 30-day editorial plan, hooks/captions/hashtags and channel…