# Phase 8: Generative AI

> Create images, video, audio, 3D, and more.

14 lessons, ~14 hours total. Each lesson ships: a 180-230 line doc, a runnable stdlib Python demo, a diagram, and a named skill for your agent.

| # | Lesson | Time |
|---|--------|------|
| 01 | [Generative Models — Taxonomy & History](01-generative-models-taxonomy-history/) | ~45 min |
| 02 | [Autoencoders & VAE](02-autoencoders-vae/) | ~75 min |
| 03 | [GANs — Generator vs Discriminator](03-gans-generator-discriminator/) | ~75 min |
| 04 | [Conditional GANs & Pix2Pix](04-conditional-gans-pix2pix/) | ~75 min |
| 05 | [StyleGAN](05-stylegan/) | ~45 min |
| 06 | [Diffusion Models — DDPM from Scratch](06-diffusion-ddpm-from-scratch/) | ~75 min |
| 07 | [Latent Diffusion & Stable Diffusion](07-latent-diffusion-stable-diffusion/) | ~75 min |
| 08 | [ControlNet, LoRA & Conditioning](08-controlnet-lora-conditioning/) | ~75 min |
| 09 | [Inpainting, Outpainting & Editing](09-inpainting-outpainting-editing/) | ~75 min |
| 10 | [Video Generation](10-video-generation/) | ~45 min |
| 11 | [Audio Generation](11-audio-generation/) | ~45 min |
| 12 | [3D Generation](12-3d-generation/) | ~45 min |
| 13 | [Flow Matching & Rectified Flows](13-flow-matching-rectified-flows/) | ~45 min |
| 14 | [Evaluation — FID, CLIP Score, Human Preference](14-evaluation-fid-clip-score/) | ~45 min |

See [ROADMAP.md](../../ROADMAP.md) for the full cross-phase plan.
