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