AI for Designers masterclass
Widen the field with AI, keep the choosing, and stay honest about where it was used.
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Read the transcript
AI can show you fifty design directions before lunch.
But it can quietly drop the one rule the brief was clear about.
This masterclass trains you to catch it, and keep the choosing yours.
Thirty-two lessons across eight stages: briefing, exploring, critique and rights, then a capstone and an exam.
The AI for Designers masterclass is not open yet. Tell us if you want it first.
What you will be able to do
- Brief image and design tools the way you would brief a person
- Explore many directions without losing the thread
- Judge results against the brief, accessibility and close range
- Handle rights, terms and disclosure properly
- Run a repeatable workflow with a person deciding
What is in it
Essentials
AI as a sketching partner; what it is good at and where it fails designers.
Core workflows
Briefing, exploration, UX research synthesis, microcopy, wireframes and prototyping with AI.
Tools
Image, layout and design-system tools: what each kind is good for, its limits, and the rights questions to ask. Never paid placement.
Advanced techniques
Iteration records, critique, accessibility and design systems.
Systems
Asset provenance, team review and client disclosure.
Role lab: Brief the image model
A brief whose gaps produce off-brand or inaccessible results. Find and fix them.
Capstone
Explore a real brief with AI, then decide, with an honest list of where the tool fell short.
Exam and certificate
A 20-question exam on the whole masterclass and the certificate: Certified, AI for Design.
The full curriculum
32 lessons, about 8 hours of reading, plus the practice in every lesson, the role lab and the capstone.
1. Essentials · 5 lessons
How AI fits design work, what generated output gets wrong, what must never go into a tool, and why the designer still decides.
- What AI changes in design work · 13 minThe learner can say which parts of a design job AI can draft, which it can help check and which stay entirely with the designer.
- Explore wide, then narrow · 14 minThe learner can ask an image or concept tool for genuine range and then narrow the results to a few directions they can defend.
- Where generated images go wrong · 14 minThe learner can name the common craft, consistency, representation and truth failures in generated images and check for each.
- What never goes into a design tool · 14 minThe learner can decide what client, user and personal material must stay out of an AI tool, and check a tool’s data terms before uploading.
- The person who decides · 13 minThe learner can keep a short decision log that records what the tool did, what they chose and why.
2. Core workflows · 8 lessons
The weekly design jobs taught as repeatable workflows: briefing, iterating, critiquing, research synthesis, microcopy, layouts, prototypes and presenting options.
- Brief an image tool in depth · 16 minThe learner can write an image brief that covers placement, format, text space, brand inputs and exclusions, as well as subject and style.
- Iterate without losing the thread · 14 minThe learner can refine a chosen direction with single changes, named versions and a stopping rule, and know when to finish by hand.
- Critique in three passes · 15 minThe learner can critique AI output against the brief, then against accessibility, then at close range, in that order.
- Synthesise UX research with AI · 16 minThe learner can use AI to draft themes from anonymised research notes and verify every theme and quote against the source.
- UX writing and microcopy · 14 minThe learner can brief AI for interface copy with the screen, the user’s situation and the constraints, and check the options in context.
- Explore wireframes and layouts · 14 minThe learner can use AI to generate alternative layouts from real content and judge them on hierarchy, conventions and reading order.
- Prototype with AI · 15 minThe learner can use AI to build a throwaway prototype for testing a flow, and keep it separate from production and real user data.
- Present options to clients · 14 minThe learner can present AI-assisted options as a few defended concepts, with honest labels about what was generated and what will change.
3. Tools · 4 lessons
The main types of AI tool for designers, how to choose one for a brief, image editing and generative fill, and when to leave the tool closed.
- Tool types for designers · 14 minThe learner can name the main types of AI tool used in design work and say what each is for.
- Choose a tool for a brief · 15 minThe learner can pick and justify a tool for a specific brief using output, control, terms, data handling, workflow fit and cost.
- Image editing and generative fill · 15 minThe learner can use generative fill and editing features with clean craft, and judge when an edit would make an image misleading.
- When not to use AI · 14 minThe learner can recognise briefs where an AI tool is the wrong choice and say what to use instead.
4. Advanced techniques · 6 lessons
Design systems with AI, consistent image sets, contrast you can prove, alternative text that works, rights and imitation, and honest disclosure.
- Design systems and components with AI · 16 minThe learner can use AI to draft components, variants and documentation that stay within a design system’s tokens and rules.
- Keep a look consistent across a set · 14 minThe learner can produce a set of generated images that share a consistent style and subject, and check the set side by side.
- Contrast you can prove · 15 minThe learner can measure text contrast on images and interfaces against the minimum ratios and fix failures without losing the design.
- Alternative text that does a job · 14 minThe learner can write text alternatives that serve the image’s purpose, mark decorative images correctly and check AI-drafted alt text.
- Rights, terms and imitation · 15 minThe learner can check a tool’s terms for the intended use, avoid imitating named work and brands, and explain the copyright uncertainty to a client.
- Disclosure done honestly · 14 minThe learner can decide who should be told that AI was used in a piece of work, and how to tell them.
5. Systems · 4 lessons
Building AI into a design team: a shared library, asset provenance, a review step before anything ships and a repeatable workflow with a person deciding.
- A team library of briefs and styles · 14 minThe learner can set up a shared library of briefs, style sheets and prompts with owners, versions and examples of good output.
- Asset provenance · 14 minThe learner can record where every asset in a project came from, how it was made and what rights apply.
- A review step before anything ships · 14 minThe learner can design a review step for AI-assisted design work with a checklist, a named reviewer and a clear stop condition.
- A repeatable workflow with a person deciding · 15 minThe learner can write their own end-to-end AI-assisted design workflow with clear points where a person decides.
6. Role lab · 2 lessons
Brief the image model: find the gaps in a brief that produce off-brand or inaccessible results, and fix them.
- Lab: brief the image model · 14 minThe learner can find the gaps in an image brief that would produce off-brand or inaccessible results, and fix them.
- Lab: a worked round · 15 minThe learner can work through a full lab round, matching each flawed result to its brief gap and producing a corrected brief.
7. Capstone · 2 lessons
Explore a real brief with AI, then decide, and deliver a choice you can explain with an honest list of where the tool fell short, reviewed by a person against a published rubric.
- Capstone: the brief and the rubric · 15 minThe learner can plan a capstone project on a real brief and understand exactly how it will be marked.
- Capstone: deliver the choice and the shortfalls · 20 minThe learner can deliver a finished direction with a decision note and an honest list of where the tool fell short, meeting the published rubric.
8. Exam and certificate · 1 lesson
How the final check works and what completing the masterclass involves.
- The exam and the certificate · 7 minThe learner can describe how the final check works and what it takes to complete the masterclass.
How the certificate is earned
Certified: AI for Design: numbered, publicly verifiable and valid for two years. All of these:
- Complete every lesson of the masterclass, with its practice task.
- Pass the exam: 16 of 20 questions (80 per cent), with up to three attempts in any 24 hours.
- Do well in the role lab: at least 4 of its 6 rounds strong, meaning every planted error caught with at most one false alarm.
- Pass the capstone: a reviewer on the Academy team marks every rubric item met. If an item is not met, you get feedback on it, revise and resubmit, with one submission under review at a time.
We recommend the Certified AI Practitioner first: it covers the habits every masterclass builds on. It is not required.
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