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| Module | Focus | |--------|-------| | 1 | Prompt architecture – syntax, modifiers, negative prompts | | 2 | Midjourney mastery – parameters, remix mode, style tuning | | 3 | Stable Diffusion – ControlNet, inpainting, custom models | | 4 | DALL·E 3 + ChatGPT for iterative ideation | | 5 | AI upscaling & enhancement (Topaz, Magnific, etc.) | | 6 | Photoshop generative fill & neural filters | | 7 | Animation & video AI (Runway, Pika Labs, Deforum) | | 8 | Studio workflow – asset management, batch processing | | 9 | Ethics, copyright, and commercial usage guidelines | | 10 | Final project – from concept to campaign-ready assets |

The course is built on the premise that "most AI photos still look like AI". To combat this, instructor Andries Ohneisser teaches a approach. Instead of random guessing, students learn to use technical vocabulary—such as lens types, lighting setups, and compositional architecture—that AI models actually understand. Key Course Modules

You already have a strong AI workflow or prefer free resources (YouTube + documentation) to build your own pipeline piece by piece.