Free course
Using AI in E-commerce Operations
From the AI landscape to feed, content, campaigns, CX, analytics and rollout
- 7 modules
- 23 lessons
- ~75 min reading
- Quizzes + certificate
Who is this course for?
E-commerce marketer
You want to apply AI to feed, campaigns and reporting - without chaos or hallucinations in product copy.
E-commerce / growth manager
You need a use-case map, governance and a 90-day roadmap to speak the same language as IT and your agency.
Product Owner
You own catalogue, feed, search and data quality - you want to know where AI helps PIM and where it hurts.
What you will learn
- Tell apart LLMs, ad-platform ML and business rules
- Organise feed, AI enrichment and product content
- Use AI in PMax campaigns and customer experience (CX)
- Connect GA4, attribution and BI reporting with AI
- Build AI policy, automation and a team rollout plan
Course syllabus
Module 1: Landscape map and mindset
LLM, ML and rules - when to use each; cost, risk and where AI does not help.
- LLM, ML and rules - three decision engines
- Cost, model drift and where NOT to use AI
- Limitations, hallucinations and quality control
Module quiz (min. 75%)
Module 2: Product data and catalog
Feed, attributes, AI enrichment and data quality as the foundation of campaigns.
- Product feed - anatomy and requirements
- AI enrichment - what works, what is risky
- Data quality = AI quality and PIM
Module quiz (min. 75%)
Module 3: Content and merchandising
Product descriptions, tone of voice, category SEO and content quality control.
- Product content: descriptions, bullets and SEO
- Tone of voice, graphics and category content
- Category SEO, content A/B and duplication risk
Module quiz (min. 75%)
Module 4: Campaigns and paid media
Copy, creatives, A/B tests and budget automation.
- Copy and creatives with AI
- A/B tests with AI content
- Performance Max and automation
Module quiz (min. 75%)
Module 5: Customer experience
Segmentation, recommendations, AI search, chatbots and consent.
- Segmentation in the AI era
- On-site recommendations
- AI search and autocomplete
- Chatbots, support and process risk
- Consent and personalization ethics
Module quiz (min. 75%)
Module 6: Analytics and decisions
GA4, incrementality, leadership reports and AI in BI.
- GA4 for e-commerce marketers
- Incrementality and attribution
- AI in reporting (Looker, BigQuery)
Module quiz (min. 75%)
Module 7: Rollout: automation, governance and risk
Workflow automation, AI policy, GDPR and rollout plan.
- AI policy in the marketing team
- GDPR and customer data
- Process automation (n8n, QA gates)
Module quiz (min. 75%)
Final exam & certificate
After passing 7 module quizzes (min. 75%): 10 questions from the full course (min. 1 per module), pass mark 70%. You get a printable/PDF certificate, ready LinkedIn post text and a share button linking to the course and instructor. Download the AI Playbook template (.md) with module artifacts.