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