Udemy – 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.

What you’ll build:

• 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.

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.