6-lesson course · about 2 hours
Running Revision Rounds Without Losing Track of What Changed
For Designers, photographers, editors and creative producers using Adobe tools to develop, refine and deliver visual assets
Everything for Adobe creativesDesigned for creative producers and designers to end the v7_final_FINAL2 cycle. Learn to implement a traceable workflow for versioning, feedback, and approval using Frame.io and Creative Cloud.
What you’ll be able to do
By the end, you can…
How it works
A tutor that meets you where you are
- Adaptive LessonsThe course material adapts to your current skill level in real time. You will skip what you already know and dive deeper into the concepts where you need more support.
- One-on-One AI TutorYou have a dedicated AI tutor available throughout the entire experience. You can ask questions by typing or speaking out loud to get immediate clarifications or concrete examples.
- Active Recall ToolsEach lesson is paired with custom quizzes and flashcards. These tools help you commit the workflow steps to memory so you can apply them immediately in your production files.
- Progress TrackingYour journey is tracked through clear milestones as you move through the modules. Once you have mastered the curriculum, you will receive a certificate of completion.
Curriculum
The curriculum
This 2-hour course is divided into three modules designed to move you from chaotic file naming to a professional, traceable production system.
Module 1Foundations of Traceable Production2 lessons
1Non-Destructive Versioning in Photoshop
- Lock original source layers at the bottom of the stack
- Create separate layers for every generative and manual edit
- Identify 'stale' layers that must be rebuilt when a source changes
2Building a Production Change Log
- Distinguish between required (locked) and optional (generative) elements in a brief
- Record which parts of an asset are photographed versus generated
- Assign unique asset IDs to track files across versions
Module 2Managing the Feedback Loop2 lessons
3AI-Assisted Feedback Summarization
- Convert raw client comments into a structured technical checklist
- Categorize feedback into visual, technical, or permission-based requests
4Human Verification of AI Outputs
- Verify AI-summarized feedback against visual physics (shadows, reflections, perspective)
- Cross-reference AI checklists with the original project brief for accuracy
- Identify 'hallucinated' pixels or errors in label text at 100% zoom
Module 3Closing the Loop and Delivery2 lessons
5Version-Controlled Review in Frame.io
- Link specific client comments to specific file versions
- Track which feedback has been applied and which is pending
- Prevent review cycles on outdated versions
6Creating the Delivery Record
- Create a delivery record confirming the approved version and the authorizer
- Document the final set of variants (sizes, formats) linked to the approved source
Who it’s for
Made for you if…
Made for: Designers, photographers, editors and creative producers using Adobe tools to develop, refine and deliver visual assets
Creative Producers
You are tired of managing 'final' versions by guesswork and manual email threads. You need a system to prove exactly what was approved and ensure the team is working from the correct file.
Graphic Designers
You want to protect your original work with non-destructive habits so you can pivot quickly. You need a way to process messy client feedback without losing track of which changes have already been applied.
Art Directors
You need to ensure that AI-generated additions match the project brief and follow visual physics. You want a structured way to verify the output of your team before it ever reaches the client.
Freelance Visual Artists
You need professional delivery records to avoid scope creep and endless revision rounds. This workflow helps you document approvals and clearly distinguish between requested changes and new project additions.
Questions
Good to know
What software is required to follow along with this course?
You will need basic proficiency in Adobe Photoshop and active access to Creative Cloud and Frame.io. The course uses these tools to demonstrate non-destructive versioning and version-controlled review processes.
Does this course teach me how to write better AI prompts?
No. The curriculum excludes advanced prompt engineering. Instead, it focuses on the workflow of using AI to summarize client feedback into checklists and the human verification required to ensure those summaries are accurate.
Will I learn high-end retouching or image manipulation techniques?
No. This is a process course, not a technical art course. It focuses on revision control, versioning, and approval tracking rather than specific retouching or artistic techniques.
How does the course handle AI in the feedback process?
You will learn to use AI to convert raw, messy client comments into structured technical checklists categorized by visual, technical, or permission-based requests. You will then learn a human verification process to cross-reference these AI outputs against the original brief.
What exactly is a 'production change log' and why is it used?
A change log is a record used to distinguish between required locked elements and optional generative elements in a brief. It tracks which parts of an asset are photographed versus generated and uses unique asset IDs to prevent version drift across the project.
How does Frame.io fit into the revision workflow?
The course teaches you how to link specific client comments to specific file versions within Frame.io. This ensures that feedback is applied to the correct iteration and prevents the team from wasting time on outdated versions.
What is the 'delivery record' mentioned in the outcomes?
The delivery record is a final document that confirms which specific version was approved and identifies who authorized the release. It also documents the final set of variants, including sizes and formats, and links them back to the approved source file.
What are 'stale layers' and why do I need to identify them?
Stale layers are derived elements—such as shadows or reflections—that become inaccurate when a source layer is changed. The course teaches you how to identify these layers so they can be rebuilt, ensuring the final image remains visually consistent.