Choose a learning format
Every listing here carries the normalized self-paced delivery mode. Use the collection when scheduling flexibility matters, then compare workload, access and practice rather than assuming that self-paced means brief or effortless.
796 published listings · 634 marketing focus · 162 related skillsPage 16 of 17. Labels distinguish marketing-focused courses from related skills. Published mentions do not establish depth, quality or current enrollment.
Johns Hopkins University
Five modules apply classifiers and NLP to social-media text, sentiment analysis and topic modeling, page lists 12 assignments. Useful for social listening/audience analysis, campaign building is not the focus
Coursera
Practical tasks apply Gemini to GA4 analysis, ChatGPT to segmentation, Sheets to data processing and Looker to reporting, two assignments/peer review and audience analysis are listed
University of Illinois Urbana-Champaign
Broad digital-marketing communication course with a dedicated Marketing's Next Era module on predictive, generative and agentic AI, AI+XR and ethics, alongside strategy, audience attention, channels, attribution and automation
SkillsBooster Academy
Six modules/four assignments cover brand-voice prompts, product-launch emails, segmentation/personalization, metrics and A/B testing, automation and privacy
University of California, Davis
Three modules turn brand guidelines, personas and product sheets into SMART goals and an AI-assisted social campaign brief with cadence, budget, KPIs/reporting, includes quality checks and a graded sustainable-clothing scenario
University of Maryland, College Park
Three modules introduce ML, big data and AI for digital marketing, applied to campaign automation, customer prediction and algorithm evaluation, 15 assignments are listed
Coursera
One module includes hands-on GenAI activities for trend forecasting, customer segmentation, survey creation and competitive analysis. The page names demos for customer trends with Claude, survey creation with Microsoft Copilot, and…
Packt
Four modules and six assignments use ChatGPT for brand story, tone/voice, loyalty and adapting a narrative across social, blogs, email and other channels
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
A six-module course teaches a social-media AI agent blueprint, hands-on no-code agent design/build, and Make.com setup/service integration for social workflow automation, the page lists eight assignments
AI Business School
Four modules and five assignments practice job-specific AI/prompt use cases, interactive sandboxes, campaigns, brand messaging and persuasive communication, a project asks learners to devise a role-specific AI use case
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
Aptly
Four modules cover AI social content/visuals, audience personas and trend insight, plus campaign optimization via performance analysis, A/B testing and creative refinement, the page lists seven assignments
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
The module centers on marketing-team operating workflows: applying a GenAI future-ready framework, planning adoption with a roadmap/resources, creating a presentation with Gamma, and using AI for cross-functional collaboration, project…
Coursera
Learners analyze how GenAI changes journey mapping, design a GenAI-enhanced customer journey map, and evaluate implementation benefits and challenges
Coursera
Focuses on ethical implications of AI in marketing, decision frameworks, applying ethics to AI-powered campaigns and strategies, and assessing and mitigating risks
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
Coursera
A step-by-step SEO course: contextualize GenAI in keyword research, define ways it improves SEO keyword outcomes, and integrate GenAI tools into keyword-research workflows
Coursera
Introduces JUNE customer analytics use cases, platform setup for data collection/analysis, AI-generated reports, and using those insights to inform product decisions, the page also tags data-driven marketing
Davidson College
Two modules: AI concepts/evolution in digital marketing, real use cases and integration decisions, then generative AI and ChatGPT for marketing, risks, effective prompts and advanced prompt engineering
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
Davidson College
Two modules cover AI-assisted strategy, competitive analysis, customer insights/segmentation and journey automation, then AI social posts and creative production across visual and multimedia formats
Microsoft
Marketing GenAI foundations/limitations, privacy, ethics and brand safety, briefs into AI tasks, multi-channel copy, automated workflows, audience segments, asset repurposing, A/B variations and daily AI use
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…
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,…
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
LearnKartS
Three modules apply ChatGPT to business emails/articles/headlines/scripts and promo copy, prompts for audience, tone and brand, social content, ad/sales copy, scheduling, review analysis and automation
Emory University
Four modules introduce GenAI marketing uses and prompt iteration, visual content/customer engagement, chatbot limits and legal/IP risks, and purchase-funnel applications for acquisition and engagement
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
SkillsBooster Academy
Six modules use RACE prompting and Gemini with Google Workspace for buyer personas/reviews/competitor research, trends/customer journeys, SEO/FAQ schema, Google Ads copy, campaign briefs, emails, Sheets data cleaning and performance…
University of Maryland, College Park
Six modules connect marketing fundamentals (segmentation, targeting, positioning, branding) with ad targeting, recommender algorithms, personalization and LLM/text analysis, includes a ChatGPT marketing exercise, final organizational AI…
Starweaver
Four modules cover GenAI literacy/governance, multimodal content/brand voice, SEO and AEO, conversational AI/hyper-personalization and agentic journeys, marketing analytics/optimization/ROI, includes hands-on work and an…
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…
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
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…