AI Marketing Courses

AI Marketing Fundamentals and Governance Courses · page 3

Compare AI courses covering fundamentals, responsible use and governance for marketing work.

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132 courses in this collection

Marketing focus

AI大模型商业化企业级完整项目入门实践

三节课 sanjieke

Analyze an enterprise marketing-engagement game, mapping user and operator journeys. Introduce generative text, image and video capabilities, then match them to game-template innovation, activity creation, visual customization, rules…

6 sections • 22 lectures • 1h 52m total lengthCheck current priceChinese (Simplified)
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Marketing focus

Branding with AI: Refresh Your Brand with ChatGPT

Ronny Hermosa

Prime ChatGPT with brand context and develop a pitch and channel-specific descriptions through iterative prompts. Applied project: Use ChatGPT to refresh a current brand asset, such as a pitch, video introduction or channel description.…

9 visible lessons. 45m 39s summed video runtimeCheck current priceAsk about teaching language
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Marketing focus

Introduction to Community Management with AI

Núria Mañé

Build an AI-supported community-management plan, covering audience segmentation, content, protocols, engagement and reporting. Applied project: Assemble an AI-assisted community-management plan covering tool selection, content…

16 lessons & 21 downloadsCheck current priceSpanish, English, French, Indonesian, Italian, Portuguese, Romanian, Turkish
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Marketing focus

Generative AI for Marketing Leaders

Start-Tech Academy , Abhishek Bansal , Pukhraj Parikh

Analyze AI marketing cases across ads/email/SEO/chatbots/personalization, evaluate build-versus-buy and strategic readiness, identify high-impact funnel opportunities and set implementation goals, metrics and ethical boundaries

7 sections • 37 lectures • 4h 3m total lengthCheck current priceEnglish
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Marketing focus

AI for Data-Driven Marketing Strategy and Operations

Dr. Amar Massoud

Build marketing data foundations, interpret predictive churn/CLV/propensity models, design experiments and incrementality tests, connect scores to lifecycle journeys and govern optimization decisions

9 sections • 54 lectures • 3h 42m total lengthCheck current priceEnglish
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Zero to Agile Data Science

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

6 sections • 58 lectures • 3h 49m total lengthCheck current priceEnglish
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