Adobe Pro AI MasterCourse

What’s included

Every course, in the order to take them

1. 1
   Adobe Pro AI Intro

   Take one product brief from written intention to a checked, layered Photoshop edit. Keep the original locked, record every prompt and change, and inspect the details where generated images usually go wrong.

   • Write a visual brief that separates what is required and must not change (label, cap, product colour) from what is optional (setting, light, props), and that marks where AI may and may not be used
   • Compare a small set of Firefly concept prompts that each change one meaningful choice, record each prompt and reference next to its output, and write a selection note: retain, correct or reject
   • Make a bounded edit in Photoshop with the original locked at the bottom of the stack, each change on its own named layer, and a record of which areas were photographed and which were generated

   6 lessons · about 8 h
   $197 on its own

2. 2
   Adobe Pro AI Intensive

   Build and supervise a proactive agent in OpenAI Dots or Claude Duet that carries a small asset batch from intake to a delivery packet you can inspect, with every open decision brought back to you.

   • Write a production method as a manual an agent can follow. Include explicit inputs, steps, checks, stop conditions, approved connections, an agreed report and a clear way to pause or retire the work, and decide whether it runs once or as a continuing brief.
   • Build an intake agent that gives every approved asset request an asset ID, a source from a supplied manifest and a permission status. It pauses a missing input after one follow-up and never guesses a source or treats unknown permission as approval.
   • Run a concept coordinator that turns an accepted brief into a bounded queue of Firefly requests. Each request varies one choice and records its prompt, references and review criterion, and the coordinator reports reference drift before more work depends on it.

   10 lessons · about 25 h
   $397 on its own

3. 3
   Adobe Pro AI Capstone

   Build three AI agent teams on one shared production record, carry a late label change through every size, and give the creative owner a release they can approve, return or hold item by item.

   • Design a Factory of three proactive AI agent teams (Brief and References, Image Production, Quality and Delivery), each with a named human steward and written rules, around one asset brief.
   • Define a shared production record and handoff table: asset IDs, accepted references, source versions, permission status, review notes, export requirements and a client-permission field that only the producer fills in.
   • Configure Dots or Claude Duet to follow the approved record across team handoffs and return traceable asset versions, precise edit requests and an outstanding-defect list, without approving images, resolving permissions or contacting the client.

   7 lessons · about 18 h
   $397 on its own

Questions

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