AI for Retail & E-Commerce (Global)
Use AI to forecast demand, optimize pricing, segment customers, and analyze reviews. Built for retail professionals in the US, UK, EU, and Australia.
"Forecast Black Friday demand for 20 SKUs, identify at-risk customers in segment data, and summarize 300 product reviews — all with AI prompts"
6 Modules
Each module builds on the previous one. By the end, you have a complete production system.
- 1
AI in Retail Today
AI retail tools landscape + omnichannel overview, scoped to GDPR/CCPA and FTC consumer-protection rules
- 2
Demand Forecasting
AI-powered demand forecast with seasonal (Black Friday/Prime Day) adjustments
- 3
Dynamic Pricing
Pricing recommendations with competitor analysis, MAP-policy and Robinson-Patman aware
- 4
Customer Segmentation
RFM-based customer segments with action plans, profiled within GDPR/CCPA consent limits
- 5
Review & Sentiment Analysis
Sentiment report with product improvement recommendations, screening FTC-deceptive-review signals
- 6
Your Retail AI Toolkit
Reusable prompt library for daily retail operations, with PCI-DSS-safe handling of payment data
Skills you'll practise
Practice data included
- Sales history (40 SKUs, 12 months)
- Seasonal calendar (Black Friday, Prime Day)
- Pricing history (20 products)
- Competitor prices (Amazon, Walmart, Target)
- Customer transactions (500)
- RFM analysis (200 customers)
- Product reviews (300)
- NPS survey (150 responses)
- Prompt library (30 templates)
- Chatbot scenarios (15)
How this certificate is scored
Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.
- You answer 6 short questions, one for each module, in your own words (at least 40 words each).
- An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
- To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.
The rubric
- Module 1, AI in Retail Today: AI retail tools landscape + omnichannel overview, scoped to GDPR/CCPA and FTC consumer-protection rules.
- Module 2, Demand Forecasting: AI-powered demand forecast with seasonal (Black Friday/Prime Day) adjustments.
- Module 3, Dynamic Pricing: Pricing recommendations with competitor analysis, MAP-policy and Robinson-Patman aware.
- Module 4, Customer Segmentation: RFM-based customer segments with action plans, profiled within GDPR/CCPA consent limits.
- Module 5, Review & Sentiment Analysis: Sentiment report with product improvement recommendations, screening FTC-deceptive-review signals.
- Module 6, Your Retail AI Toolkit: Reusable prompt library for daily retail operations, with PCI-DSS-safe handling of payment data.
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
Everything you build
Download all your work as a ZIP file. It is yours to keep.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to start AI for Retail & E-Commerce (Global)?
First course free. $20 per course after that.