AI E-Commerce Automation with Python
Build a Product Engine
Most automation tutorials stop at “it ran”. This one builds a product engine you can check: every number on screen comes from a real run of the course code, and every stage ends up covered by tests.
View the course on Udemy Opens the course on Udemy, where the price, the free preview lessons and Udemy’s refund terms are.- Python 3.10+
- 35 automated tests
- 30-product practice catalog
- A quiz per section
What you’ll build
One product engine, built section by section on a 30-product practice catalog.
- A loader and normalizer for a 30-product supplier catalog with deliberate defects: missing barcodes, a zero cost, a duplicate SKU, mixed units
- A pricing engine with a floor per marketplace, from example fees, shipping and a target margin
- Barcode, category and attribute checks that block bad products before any AI call
- AI-written titles and bullets, checked word by word against the supplier's facts, with claims that must cite their evidence
- Shopify-, eBay- and Amazon-style payloads, built by one adapter per marketplace
- A publisher that refreshes tokens, retries rate limits and timeouts, and looks before it retries, so nothing is listed twice
- A review queue, a corrections file, waivers, an audit trail, and a final check that asks each marketplace what it holds
The 9 sections
39 video lessons, 2.6 hours in total. Each section ends at a checkpoint you can download and compare with, and a short quiz.
Build the automation foundation
5 lessons · 16 min · quiz
Normalize messy product data
4 lessons · 15 min · quiz
The profitability engine
4 lessons · 15 min · quiz
Validate GTINs, categories and attributes
4 lessons · 15 min · quiz
AI enrichment with guardrails
4 lessons · 17 min · quiz
One product, three marketplaces
4 lessons · 16 min · quiz
OAuth, APIs and safe publishing
5 lessons · 17 min · quiz
Errors, retries and human review
4 lessons · 22 min · quiz
Run the complete product engine
5 lessons · 22 min · quiz
How the course works
- 9 sections, each ending at a checkpoint you can download and compare with
- A short quiz at the end of each section
- Common mistakes and short exercises along the way
- 35 automated tests by the end
What you’ll learn
- Build a Python pipeline that turns a messy supplier catalog into clean, validated products
- Price every product per marketplace from fees, shipping and a target margin, and hold listings that can't sell at a profit
- Validate barcodes, categories and required attributes before anything costs money
- Write listing titles and bullets with AI, and check every word against the supplier's facts with a guardrail
- Turn one product into Shopify-, eBay- and Amazon-style payloads with the adapter pattern
- Publish to mock marketplace APIs with token refresh, safe retries and no duplicate listings
- Route every problem to a review queue, apply corrections, and keep an audit trail of every decision
Honest notes
- The marketplaces are a mock that runs on your computer. Nothing in this course contacts Shopify, eBay or Amazon, and you don't need a seller account.
- The payloads are simplified teaching versions modeled on the real APIs; they are not proof that a real API would accept them.
- The AI step runs offline by default. Live mode with Claude is optional and billed to your own Anthropic account.
- The fees, categories and catalog are examples made up for the course.
- The guardrail checks words, not meaning: text that passes it is not proven true, so a person should read AI text before it's published.
- This course teaches you to build the engine. It can't promise sales or income.
Who this course is for
- Python learners who want a realistic, end-to-end automation project
- E-commerce sellers and operators who want to understand catalog automation before trusting it with a real store
- Developers building marketplace integrations who want safe patterns for retries, duplicates and human review
Requirements
- Python 3.10 or newer, and a code editor such as VS Code
- Basic Python: variables, functions, lists and dictionaries
- No seller account and no API key needed: the AI step runs offline by default (live mode with Claude is optional and billed to your own Anthropic account)
FAQ
Is this a video course?
Yes. 39 video lessons in 9 sections, 2.6 hours in total, with English captions. Each section ends at a checkpoint you can download and compare with, and a short quiz.
Do I need a seller account on Shopify, eBay or Amazon?
No. The marketplaces are a mock that runs on your computer, and nothing in this course contacts Shopify, eBay or Amazon. The payloads are simplified teaching versions modeled on the real APIs; they are not proof that a real API would accept them.
Do I need an AI API key?
No. The AI step runs offline by default. Live mode with Claude is optional and billed to your own Anthropic account.
Will this make money for me?
This course teaches you to build the engine. It can't promise sales or income.
Was AI used to make it?
Yes. This course contains the use of artificial intelligence. The narration uses a synthetic (text-to-speech) voice, and scripts and visuals were prepared with AI tools. Every command, figure and screen comes from real runs, and was checked against them.
Where do I buy it, and what does it cost?
The course is sold on Udemy. The button opens the course page on Udemy, where the price, the free preview lessons and Udemy’s refund terms are.
Build the whole engine, one lesson at a time
39 video lessons in 9 sections, a quiz at the end of each one, and 35 automated tests by the end.
View the course on Udemy Opens the course on Udemy, where the price, the free preview lessons and Udemy’s refund terms are.This course teaches you to build the engine; it can’t promise sales or income. The fees, categories and catalog are examples made up for the course, and the marketplaces are a mock that runs on your computer. This course is not affiliated with, endorsed by or sponsored by Shopify, eBay, Amazon or Anthropic. Product names are trademarks of their owners. Udemy is a trademark of Udemy, Inc.
Privacy: this page uses Google Analytics and the Meta Pixel. Details and opt-outs: digitalcashcode.com/privacy.