Product visuals: edit photographs or generate new scenes
Start here
If the product already has accurate photographs, compare editing and retouching instruction. If you need new scenes, compare reference-image and consistency workflows. In both cases, ask how learners check product fidelity and software costs.
AI Product Photo Editing Using Photoshop AI & Firefly AI teaches product photography and retouching with Photoshop and Firefly over an advertised 4h 57m. It fits a team working from photographed products and wanting control over editing. AI Product Photography Using Nano Banana Pro instead describes generated ecommerce visuals and detailed consistency prompts in a three-hour Nano Banana course. Product Photography with Artificial Intelligence provides an eight-lesson Domestika sequence transforming reference product images into different backgrounds and contexts.
The useful filter is the starting asset and required output: real-photo retouching, generated product scenes, or a compact project sequence. Check product-detail fidelity in the learner work and software costs. Ask whether the exercises include a check against the real product and which software licenses you need.
An original fictional comparison exercise
A small test to try
- Bring
- A product photograph and a new background brief
- Try
- List the shape, label, color and other product details that must stay fixed. Make one edit and one generated scene, then compare both against the original.
- Keep and check
- Two proposed product visuals with a checklist of changed details. Reject attractive images that misrepresent the product.
Use this to ask better questions. It does not describe an exercise included in the listed courses.
Edited by AI Marketing Courses · Guide revised October 7, 2026. Course information is from the October 6 catalog edition; confirm today’s details before paying.