Introduction · Course 01
AI and creative technology
Making it with machines without losing the taste.
Make AI images that pass for photographs and keep one brand's look, then turn a shot list into short video.
Start the first lessonThe one nobody else is teaching properly. Written out of what we learned building the studio: what the machines are doing, where they fail, and how a person keeps authorship of work a machine helped make.
You will be able to
- Make product and people pictures that pass for photographs
- Hold one brand look across a whole set of generated images
- Turn a shot list into short AI video, with sound and an edit
- Know what you may use commercially, and when to say it was generated
- 21 modules
- 212 lessons
Curriculum structure
- 01AI image making12 lessonsBeginnerBeginner
- 02Midjourney, Firefly and ChatGPT images, hands on8 lessonsBeginnerBeginner
- 03How the machines work13 lessonsBeginnerBeginner
- 04The vocabulary9 lessonsBeginnerBeginner
- 05Prompting for creatives13 lessonsBeginnerBeginner
- 06Accounts, keys and money7 lessonsBeginnerBeginner
- 07AI photography10 lessonsIntermediateIntermediate
- 08AI art direction10 lessonsIntermediateIntermediate
- 09AI and brand consistency10 lessonsIntermediateIntermediate
- 10AI in the design tools10 lessonsIntermediateIntermediate
- 11AI for interface design11 lessonsIntermediateIntermediate
- 12AI creative workflows10 lessonsAdvancedAdvanced
- 13Generative design10 lessonsAdvancedAdvanced
- 14AI production systems10 lessonsAdvancedAdvanced
- 15AI video10 lessonsIntermediateIntermediate
- 16Hosted video models, hands on10 lessonsIntermediateIntermediate
- 17Open-source video models10 lessonsAdvancedAdvanced
- 18Making video with coding agents10 lessonsAdvancedAdvanced
- 19Sound, edit and finish, hands on8 lessonsAdvancedAdvanced
- 20Best practices for AI video10 lessonsIntermediateIntermediate
- 21Rights, ethics and the argument11 lessonsIntermediateIntermediate
Module 01
AI image making
Making images somebody will pay for. Reference-led workflows, composition control, holding a face and a product, and the manual last ten per cent.
12 lessons
Module 02
Midjourney, Firefly and ChatGPT images, hands on
Midjourney, Adobe Firefly and ChatGPT Images as they work in October 2026. Plans and prices, Midjourney's parameters, references and editor, Firefly's models and commercial use, and ChatGPT edits on your own product photo, ending with one brief for No. 4's bottle walked through all three.
8 lessons
Module 03
How the machines work
What the machines are doing, said in words. Diffusion, latent space, attention, seeds and why none of them can count.
13 lessons
Module 04
The vocabulary
The vocabulary, grouped by where you will hear it. Models, training, generating, controlling, agents, cost, rights, and the words that mean nothing.
9 lessons
Module 05
Prompting for creatives
A prompt is a brief. Camera language, light, reference images, and the structure that survives a model being replaced.
13 lessons
Module 06
Accounts, keys and money
The accounts, keys and terminal every later module needs. Where a key lives, how to cap the spend, and what to do when one leaks.
7 lessons
Module 07
AI photography
The camera-first way to make a generated photograph. Light before sharpness, skin, the four things to check, and when to shoot it for real.
10 lessons
Module 08
AI art direction
Direction when the making is free. Choosing four from four hundred, leaving the generic middle, and writing the quality bar down.
10 lessons
Module 09
AI and brand consistency
Why generated work drifts, and the structures that stop it. Trained products, colour fidelity, reference locks and an automatic gate.
10 lessons
Module 10
AI in the design tools
What Figma, Canva, Framer and Adobe actually added. Tokens, the Model Context Protocol, and a stack a two-person studio can hold.
10 lessons
Module 11
AI for interface design
Screens, systems and code. Generated first drafts, design systems as the thing that makes them usable, and evaluating what an agent built.
11 lessons
Module 12
AI creative workflows
The pipeline that replaces a chat window. Human gates, node graphs, batching, versioning images and controlling the cost.
10 lessons
Module 13
Generative design
Designing the rule rather than the artwork. Parameters, identities that generate themselves, pattern, and authorship afterwards.
10 lessons
Module 14
AI production systems
Turning a workflow into a system. APIs, queues, caching, automatic checks, provenance, and the bill that surprises you.
10 lessons
Module 15
AI video
Where video generation actually is. Image to video, camera moves, character drift, sound, and a thirty-second film start to finish.
10 lessons
Module 16
Hosted video models, hands on
Veo, Sora, Runway, Kling, Luma and Higgsfield, used for real. Working API code, the settings that matter, and which model for which shot.
10 lessons
Module 17
Open-source video models
MiniMax H3, LTX-2.5, Wan and HunyuanVideo, and whose country each licence covers. Hugging Face, diffusers, ComfyUI, the GPU you need and how to rent one.
10 lessons
Module 18
Making video with coding agents
Claude Code and Codex as a video crew. Install, brief, batch render, ffmpeg, MCP servers, and checking what the agent did.
10 lessons
Module 19
Sound, edit and finish, hands on
Voice, music, lip sync, upscaling and the edit. Hosted and open tools, with the ffmpeg commands that finish a film.
8 lessons
Module 20
Best practices for AI video
What the people who ship this every day do. Prompt formula, shot templates, seeds, versioning, QC, cost, licences and disclosure.
10 lessons
Module 21
Rights, ethics and the argument
What the models were trained on, where the cases have got to, and how a studio commissions honestly while using all of this.
11 lessons