Course
AI for Image & Visual Design
From beginner outputs to professional ones. Diffusion models, photography vocabulary, Midjourney and Nano Banana deep dives, style consistency, and licensing.
- Length
- ~12 hours + capstone
- Structure
- 9 modules · 35 lessons
- Certificate
- Verifiable on completion
Coming soon
This course is still in development. The structure below is a preview of what will be available — modules and lesson titles may change as we build it.
1
The Image Generation Landscape
- How diffusion models actually work (intuition for prompting)
- Tool tour: Midjourney, Nano Banana, FLUX, Stable Diffusion, DALL-E, Firefly, Ideogram
- When to use which
- ComfyUI: what it is and when it's worth your time
2
Photography & Visual Vocabulary for AI
- Lenses, focal lengths, depth of field
- Lighting types and direction
- Shot types and composition
- Color theory for AI prompting
- Art and design movements as style references
3
Prompting for Images
- Descriptive vs. directive prompting
- Style references and weights
- Negative prompts
- Aspect ratios and dimensions
- Iteration patterns
4
Midjourney Deep Dive
- Parameters and modes
- Style codes and SREF
- Personalization (--p)
- Image references and remix
- Variation strategies
5
Nano Banana Deep Dive
- Conversational image editing
- Multi-image composition
- Character consistency
6
Style Consistency
- Building a brand style system
- Character references across a project
- Mood boards as a deliverable
- Consistency across a 10-image campaign
7
Editing & Refinement
- Inpainting and outpainting
- Image-to-image
- Upscaling (Topaz, Magnific)
- When to fix in Photoshop instead
8
Commercial Use, Copyright, Licensing
- What each platform allows
- Training data debates and the legally-safest tools
- Disclosure for commercial work
- Building a licensing-aware workflow
9
Capstone
A complete branded asset pack — 10-image campaign + style guide.
- Capstone Project