AI marketing course directory
1,008 offerings · page 13 of 21. Use course search to narrow the list.
Marius Worch, Jendrik Teichmann, Oliver Spitzkat
Build n8n/RAG and voice or WhatsApp bots and connect them to lead generation, sales funnels and customer follow-up within a broader AI-agency course
Diego F. Parra, William Castillo, Nelson Enrique González Prada
Use ChatGPT, Copilot, Notion and other AI tools to create restaurant social content and marketing material in a dedicated gastronomy marketing course
Skillademia Academy
Use CapCut AI design and video generation, social reframing, translation, captions and script assistance to produce an edited short-form social video. Applied project: Plan and edit a short video in CapCut, including visuals, audio,…
Skillademia Academy
Create AI-assisted branded animations and promotional video in Canva, match visual styles, bulk-create catalog content and manage automated production and delivery. Applied project: Create branded animated social content and a short…
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
Goeduhub Technologies
Build a customer-segmentation clustering project in four lessons/33 minutes after Python data preparation and ML fundamentals, broader data science is adjacent
Tobias Mayer
Prepare customer data in Python, apply supervised regression and unsupervised k-means/PCA, evaluate clusters and translate segments into targeted marketing actions
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
Datagist INC
Prepare customer data and features in Python, build BG/NBD lifetime-value models and compare XGBoost and LightGBM approaches for market-strategy decisions
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
BISP Solutions
Build PyTorch neural-network models for cross-sell, customer value and promotional success alongside broader demand, ERP sales and anomaly forecasting
Packt Publishing
Prepare and visualize marketing data in Python, create hierarchical and k-means customer segments, predict customer value and classify customer choice
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
Arpit Khurana
Build and evaluate no-code marketing ML models for churn, sales, lead scoring and customer clusters, and apply NLP, visual listening and AI chatbots
Vincent Sider
Apply generative and discriminative AI through funnel research, product-market fit, personas, awareness assets and LLM-powered visitor engagement
Spaark Hub, Gaurav Shandilya
Prepare campaign data, model Google Ads outcomes using Random Forest and Gradient Boosting, compare channels and benchmarks, and apply cohort/RFM analysis to retention and ROI
Exam Turf
Apply logistic-regression churn models and k-means airline-customer segmentation to retention and targeted marketing within a broader R/Excel analytics course
Simon Sez IT
Study segmentation, propensity, lookalike and customer-value models and apply NLP sentiment analysis to brand monitoring and social campaigns within a broader analytics course
Minerva Singh
Implement content-based, collaborative and hybrid recommendation approaches in R and relate user-item preference predictions to e-commerce personalization
Toppers Bootcamp
Use generative AI for product content and personalized recommendations, website experiences and marketing messages, broader cases also cover service, virtual try-on and inventory
Massimiliano Sorrentino
Create AI text, images, voice and music, adapt customer journeys with behavioral prompts and use sentiment analysis and generated content for community and campaign work
Eduonix Learning Solutions, Eduonix-Tech .
Define a customer-churn problem, prepare the data and build Python machine-learning models through a complete problem-to-model sequence
Shreesha Jagadeesh
Build an iterative customer-churn classification project using baseline Random Forest, feature engineering and tuned ensembles within a broader fraud/churn/financial-risk compilation
Vinay Karode
Implement logistic-regression and decision-tree churn models, interpret predictions and compare ensembles alongside broader insurance and retail-sales projects
Richard Aragon
Demonstrate customer-churn and sales-forecast models and NLP email-response automation within a broader seven-project corporate AI course
Taman Belajar, Bina Nusantara University
Prepare customer data, implement k-means in Python, evaluate and interpret clusters and complete a customer-segmentation case study
Meta Brains , Skool of AI
Prepare and evaluate k-means, hierarchical and DBSCAN clusters, then complete an ecommerce customer-segmentation project, broader unsupervised ML supports the marketing application
Mammoth Interactive, John Bura
Use ChatGPT guidance with Excel sales forecasting and customer-value analysis, then develop engagement and loyalty strategies from the resulting insights
Eduonix Learning Solutions
Apply ML to customer value, segmentation and market-basket analysis and build an LLM engagement chat solution within broader pricing, demand and business-data science
Eduonix Learning Solutions
Analyze and segment customers, forecast customer value, map journeys, model real-time personalization and targeted advertising and develop product-query conversations
Vinay Karode
Implement customer segmentation, social sentiment, ecommerce recommendations, customer lifetime value and association rules within a broader 21-project Python ML portfolio. These outputs differ from the same creator’s retained…
Francesco Alaimo
Use KNIME churn-training workflows and a clothing-customer dataset for k-means segmentation, cluster optimization and marketing personas within a broader platform course
Eric Hulbert
Build a KNIME Random Forest model for a sales-and-marketing client, prepare data and interpret predictions within a broader no-code data-science course
Ram Prasad
Use a no-code classification model and forward feature selection to analyze age, geography and traffic-source predictors and derive marketing actions within a broader RapidMiner ML course
Jesper Dramsch
Use ChatGPT to generate content ideas, preserve an individual writing voice, co-create drafts and organize research, a 12-lesson creator-focused course rather than a single prompt tip
LAMZ
Research a niche, define a target avatar and ten audience problems, generate content ideas, structure storytelling, repurpose video and produce SEO titles/descriptions/tags, final project is an audience-and-video-idea plan
Arnold Trinh
Turn a creative brief into an effective image prompt, generate and assess variations, then package the repeatable process in a custom GPT, marketing/content creation is an explicit use case
Jonathon Parker
Use Magic Design, Magic Write and Magic Switch plus AI image/video features across document, presentation and visual content tasks, submit three before-and-after content projects. Broader design tasks accompany transferable marketing…
LAMZ
Use AI and VidIQ to improve topics/scripts and existing videos, then plan a weekly production schedule and a seven-day research-to-upload process. The separate scaling stage includes substantial manual filming/production alongside AI…
Anna Kolenkina
Learn generation, references, style and editing, then create brand/product assets and editable social-media templates in Adobe Express, the long class includes explicit social-media/marketing use cases and a social-template project
Future Skills
Use Notion AI for drafting, editing and tone, then apply it to a blog outline, social post and press release as well as broader documents, create a reusable Notion document workflow
Future Skills
Write a script with ChatGPT, produce voice with ElevenLabs, create a HeyGen avatar and assemble/polish a finished video. This focused seven-lesson project is 15m49s, with a complete three-tool workflow
Anna Kolenkina
Use image generation, references, styles, icons and image-to-motion, with a specific social-media marketing asset use case and brand/logo/transparent-background production. Broad visual generation accompanies the explicit commercial…
David Hughes
Create a jingle with Suno, generate spoken audio with ElevenLabs and assemble a finished audio intro for a podcast or creator brand, the eight-lesson class has a concrete finished-jingle project
Louise Laurie
Use ChatGPT for SWOT, market/competitor/customer research, SMART goals, positioning, tactics and measurement, including deep research, produce a marketing strategy for the learner’s business. Applied project: Build a small-business…
Ronny Hermosa
Train the Canva Headshots app on reference photos, generate a batch, select/edit results and create professional branding portraits. A focused branding-asset class, headshot credit prices and output quality were not tested