Generative Ai For E-Commerce Marketing
 

Use ChatGPT & generative AI to personalize, write copy, create visuals, power chatbots, and implement AI responsibly
What you'll learn
Explain how generative AI works and which tools fit key e-commerce marketing tasks
Design AI-driven personalization for web and email without crossing into "creepy" territory
Create accurate, on-brand product descriptions, ads, and subject lines using prompt templates
Improve product discovery with contextual recommendations and conversational shopping flows
Plan a safe AI rollout: pilots, KPIs, data needs, human review, and governance guardrails
Identify and mitigate genAI risks: hallucinations, bias, privacy, and transparency issues
Requirements
There are no prerequisites for this course
Description
Generative AI is rapidly reshaping e-commerce-and the numbers make it hard to ignore. Forecasts project the generative AI market in e-commerce growing from about $500M (2022) to over $2.1B (2032). At the same time, customer expectations are rising fast: 71% of consumers expect personalized experiences, and 76% get frustrated when they don't get them. Brands that do personalization well can outperform peers by 10-15%.
So the real question isn't "Should we use AI?" It's: how do you use AI to create better shopping experiences, ship content faster, and improve performance-without sacrificing brand voice, accuracy, or customer trust?
That's exactly what this course is designed to teach.
In this practical, marketer-friendly course, you'll learn how generative AI works (in plain language), which tools matter most, and how e-commerce teams are using AI today to personalize experiences, recommend products, generate high-converting product copy, create visual assets, and power customer-facing chatbots.
We'll cover
• Generative AI fundamentals: what it is, how LLMs work, and the key tools marketers use
• Personalization at scale across web, email, and promotions (without creating 500 versions by hand)
• Next-gen product recommendations: contextual, intent-based, and conversational discovery
• AI-generated product descriptions, ads, and email copy (with tone control + SEO considerations)
• Generative AI for visual content: backgrounds, variants, creative testing, and brand consistency
• AI-powered chatbots and conversational commerce: support + sales use cases and how to avoid "hallucinations"
• Implementation strategy: pilots, data readiness, People/Process/Platform, KPIs, and scaling
• Best practices: human-in-the-loop workflows, prompt frameworks, QA checklists, and experimentation
• Risks and ethics: bias, privacy, transparency, governance, and brand safety
• Emerging trends: multimodal shopping, hyper-personalization, and where the field is headed
By the end, you'll have a clear playbook for using generative AI to improve speed, relevance, and conversion-while keeping humans in control of quality and strategy.
If you work in e-commerce marketing (or support the teams that do), this course will help you build real, job-ready skills you can apply immediately-no coding required.
Who this course is for
E-commerce marketers and growth marketers (DTC, retail, marketplaces)
Store owners and entrepreneurs (Shopify, Amazon, Etsy, WooCommerce sellers)
Email/CRM marketers focused on personalization and lifecycle campaigns
Copywriters and content teams managing large product catalogs
Performance marketers creating ad variants and testing creative at scale
E-commerce product managers and UX teams building shopping experiences
Customer support and CX leaders exploring AI chatbots and automation
Marketing agencies and consultants supporting e-commerce clients