AI Marketing Courses

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PyTorch for Business Forecasting & Predictive Analytics

Build PyTorch neural-network models for cross-sell, customer value and promotional success alongside broader demand, ERP sales and anomaly forecasting

BISP Solutions · Udemy

Inside the course

What you’ll cover

Build PyTorch neural-network models for cross-sell, customer value and promotional success alongside broader demand, ERP sales and anomaly forecasting

Audience and starting point

Selected published requirements: “Basic Python knowledge”. “No prior ML experience needed”. “No prior PyTorch experience needed”. “Understanding of CSV or Excel data”. See the provider page for the full requirements and current tool terms

Access and subscriptions

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: Frame one business question; make A report with an interpretation; check Data quality, uncertainty and competing explanations.
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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Related tasks, tools and formats. Check the differences before choosing.

Marketing focus

Pós-Graduação em Inteligência Artificial no Marketing

IPAM Lisboa

The 12-module plan includes AI foundations, digital law/privacy, online search, AI content marketing, AI e-commerce strategy, AI CRM/email marketing, AI automation and agents, marketing/sales in the AI era, AI growth marketing, and an…

9 months. 36 ECTSCheck current pricePortuguese
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Marketing focus

Generative AI Course for Marketing, Sales, and Campaigns

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…

Three modules, about one week at ten hours/week. 17 assignmentsCheck current priceEnglish
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Marketing focus

Data Analytics for Marketing

Packt

Python workflow covers ETL/Singer and Streamlit, causal/regression analysis, Prophet/ARIMA KPI forecasting, STL/S-H-ESD/Bayesian change-point anomaly detection, k-means/RFM, decision trees/random forests, LDA/QDA and PyMC Marketing BTYD…

13 modules and 15 assignments. Intermediate. Coursera estimates two weeks at ten hours per week. Some assignments are shortCheck current priceAsk about teaching language
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