AI Marketing Courses

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Progettando Applicazioni di IA con la Scienza dei Dati

Build Python AI applications including a customer product/service recommendation system and a generative image tool, the course also covers unrelated applications

Mauro Gallotta · Udemy

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What you’ll cover

Build Python AI applications including a customer product/service recommendation system and a generative image tool. The course also covers unrelated applications

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Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking

Learning decision: Define the visual brief; make Two concepts for one message; check Rights, accuracy and message fit.
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.

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Marketing focus

Supervised Learning and Its Applications in Marketing

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

12 modules and 36 assignments. Coursera estimates two weeks at ten hours per weekCheck current priceAsk about teaching language
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Related skills

Sentiment Analysis with LSTM and Keras in Python

Abhishek Kumar

Learn sentiment workflow and RNN/LSTM concepts, then implement LSTM sentiment modeling in Keras, the source names voice-of-customer reviews/surveys/social material as marketing/service applications

7 sections • 19 lectures • 2h 48m total lengthCheck current priceEnglish
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Marketing focus

Generative AI in E-commerce

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

8 sections • 25 lectures • 1h 18m total lengthCheck current priceEnglish
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