DDQZ
Training Amazon (Ring & Blink)

Same standard. New tools.

An eight-week training programme for Amazon's Ring and Blink brand teams. Built after the image production workflow itself, designed so the team learns the system and the craft around it at the same time.

Client
Amazon (Ring & Blink)
Year
2025
Service
Training
Workflow Training 01 · Intro to MidJourney — 02 · Prompt Structure & GPT Generator
Workflow Training 03 · Image References and Seednumbers — 04 · The Intro To the OTS
Workflow Training 05 · Moodboards & Training Brand Profiles — 06 · Adapting Images
Workflow Training 07 · Upscaling & Fixing — 08 · The Workflow Final Training
Ring indoor camera — a parent on the sofa watching her children play
01 / 05
The context

A brand team had the workflow. They needed to learn the craft around it.

After the Ring & Blink image production workflow was built, the next question was how the in-house team would actually use it. Not as a tool they pressed buttons on, but as a production process they owned end to end. That meant training that went beyond software.

The brief was to design an eight-week course that taught the team the workflow and the craft around it at the same time. Not a webinar, not a one-day workshop. A curriculum, delivered in weekly sessions, with hands-on practice between them.

Challenges
(01) Workflow and craft, together

Each week built on the last.

The training had to deliver the workflow itself (prompt construction, reference management, image production) and the craft around it. Concepts in session, hands-on application as homework, real questions back into the next week. By the end, the team was ready to run.

(02) The same standard

Resetting what “good” means in AI image production.

A photo shoot has its own discipline: pre-production, direction, post, retouching, quality control. AI has the same disciplines, they just look different. Upscaling, prompt iteration, manual cleanup, brand QC. The course taught the team to hold AI imagery to a production standard, not to a lower one because the tool is new.

(03) Concept over tool

Most AI training teaches a tool. This one taught a way of working.

The tools will change (and have already changed). The discipline of using AI for production-grade work doesn't.

The outcome

A curriculum that turned a workflow into a capability.

The course ran in eight weekly modules over two months. Each one paired a concept session with hands-on practice between weeks, so the team built capability progressively. By the end of the programme, the brand team was ready to run the workflow independently, with the craft behind it embedded in how they work.

The output is image production at the speed of AI, held to the standard of commissioned photography. The workflow lives with the team. The thinking behind it does too.

Soon after the programme wrapped, the team applied the workflow to Ring's launch marketing in Japan — producing on-brand visuals localised for the market, in-house, without commissioning a new shoot.

For people in motion, ready to test, willing to discard.

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