Use ChatGPT & generative AI to personalize, write copy, create visuals, power chatbots, and implement AI responsibly
What you’ll learn
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Explain how generative AI works and which tools fit key e-commerce marketing tasks
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Design AI-driven personalization for web and email without crossing into “creepy” territory
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Create accurate, on-brand product descriptions, ads, and subject lines using prompt templates
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Improve product discovery with contextual recommendations and conversational shopping flows
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Plan a safe AI rollout: pilots, KPIs, data needs, human review, and governance guardrails
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Identify and mitigate genAI risks: hallucinations, bias, privacy, and transparency issues
This course includes:
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2 hours on-demand video
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26 downloadable resources
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Access on mobile and TV
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Full lifetime access
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Certificate of completion
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.
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