AI marketing training topics
Compare AI courses covering fundamentals, responsible use and governance for marketing work. Compare the kinds of work this training can cover.
132 courses touch this topic. Courses can appear at more than one desk.132 courses in this collection
HubSpot Academy
Prompt design/output evaluation, content and personalization, reporting, responsible tool choice
Digital Marketing Institute
Content/search/PPC/social, agentic AI, change management, responsible data, strategy
Nottingham Business School
Consumer behavior, AI customer journey, SOSTAC planning, service design, 7Ps, adoption/governance
Kellogg Executive Education
Design a connected marketing system using continuous customer signals, ideal customer profiles and positioning, modular AI creative, journey orchestration, agents, measurement and governance
Chartered Institute of Marketing (CIM)
Two days across data analysis/modeling, workflows and campaign management, segmentation, targeting, customer journeys, measurement, generative text/image/video, responsible AI
M Training
AI basics, custom GPTs and brand voice, SEO, image generation, research/personas/competitors/survey analysis, email, blog/content, social, privacy, bias, ethics, copyright
U of Digital
4 workshops + 2 deep dives in two weeks: prompting, AI research/strategy, creative, media optimization with agents, governance
Passive Income Gen Z
Use ChatGPT prompting to draft blogs, articles, marketing email, landing pages, sales copy and advertisements with an ethical writing focus
Ing. Tomáš Morávek, Learn Digital Advertising
Use ChatGPT for Facebook and Instagram content and ad copy, with DALL-E interfaces covered alongside campaign work
Jochen Siepmann
Write advertising prompts and apply ChatGPT to Facebook and Google ads, video marketing, funnels and retargeting
Ing. Tomáš Morávek
Set up Google Ads and GA4 tracking, including AI-powered search campaigns and preparation for ChatGPT-assisted work
Akshay Desai
Examine how generative outputs affect brand consistency, trust and perception, including risks from probabilistic output
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Compare vocabulary, tool use and examples if you need a first orientation.
Look for practice spotting unsupported claims, bias and inappropriate data use.
Compare review rules, approved tools and ownership when the task is responsible adoption across a team.
These are editorial comparison questions, not promises about every course in this topic.
