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
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.
Shared topic: Customer analytics and personalization
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…
Shared topic: Customer analytics and personalization
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
13 modules and 15 assignments. Intermediate. Coursera estimates two weeks at ten hours per week. Some assignments are shortCheck current priceAsk about teaching language