20 hours, 5 modules, to launch or grow an e-commerce business. You leave with a Shopify store you control, a ranking strategy tailored to both search engines and AI agents, and an operational automation foundation.
Set the scene, identify the stakes, prioritize the KPIs.
Acquisition, conversion, retention, logistics. Business models (B2C, B2B, marketplace, dropshipping, subscription). Classic friction points in the funnel.
Terms of sale, legal notices, privacy policy, cookie management. Intra- and extra-EU VAT. Consumer-protection obligations.
A value-chain map for the trainee's project. Positioning sheet (target, promise, competitors). Table of the 5 priority KPIs.
Debrief. List of legal-compliance actions. Briefing for the Shopify module.
Build a functional, configured and customized store.
Admin architecture: products, collections, customers, orders, content, analytics. Overall logic and efficient navigation.
The difference between product, variant and option. Rule-based automatic collections. Metafields and metaobjects to structure custom content.
Configuring Shopify Payments, Stripe, PayPal. Shipping zones and rates. Testing the purchase journey in test mode.
Visual editor: sections, blocks, settings. Reasonable customization limits. Liquid demo: targeted changes via a code assistant.
Selection criteria (recurring cost, dependencies, support). Essential stack: customer reviews, email, support, subscriptions.
Recap of between-session actions. Defining the deliverables to finalize before the next module.
Be found by Google, cited by AI agents.
Search intent, keyword clustering, semantic markup. Title, meta description, Hn, URL structure.
SEO structure of an e-commerce store. Categories, subcategories, pillar pages, internal linking.
The template for a high-performing page (300 to 500 words). Workshop on the trainee's catalog. Rewriting 3 pages.
Product, Offer, Review, AggregateRating, Organization, FAQPage. Inserting a JSON-LD block into a Shopify theme.
Setup, sitemap submission, robots.txt, reading the indexing and performance reports.
The difference between classic SEO and AEO (Answer Engine Optimization). Cross-testing on 4 or 5 agents (ChatGPT, Claude, Gemini, Perplexity, Mistral). The llms.txt standard.
Choose the right tools, build active workflows.
General-purpose LLMs (ChatGPT, Claude, Gemini, Mistral). Native Shopify AI (Magic, Sidekick, Inbox). Specialized assistants (Surfer, Jasper, Photoroom). Selection criteria.
The anatomy of a good prompt: context, role, task, constraints, format. Building 5 to 10 prompts tailored to the project: product pages, emails, blog, support, AEO.
Choosing a solution (Tidio, Crisp, Gorgias). Configuration, knowledge base, follow-up scenarios.
Classic use cases: new order, abandoned cart, customer segmentation. Building at least one active scenario.
A personalized decision matrix. Defining the scope of tools selected for the next steps.
Settle the technical options, plan 6 months ahead.
Multi-catalog Shopify, a connected second store, headless commerce, a hybrid storefront. Criteria: budget, timeline, autonomy, scalability.
Sales cycle, negotiated pricing, contracting, company accounts. Native Shopify B2B features.
An impact / effort / dependencies prioritization method. Milestones and indicators. A documented action plan.
The anatomy of an effective brief. Writing the brief for at least one assignment to outsource.
Full details in the catalog.
Accessibility: this programme is open to people with disabilities. Our disability lead, Angélique Bensalah (a.bensalah@way-up.io), reviews the required adjustments in a preliminary interview, and refers you to a competent partner if we cannot meet the need. Complaints: same contact, acknowledged within 5 working days and answered within 15 working days (procedure).
Programme v1.0 · updated 7 August 2026