AI has changed how visual concepts get explored, and this course treats that as a production skill rather than a novelty. You work across the major image models, including Adobe Firefly, Midjourney, Leonardo, OpenAI's DALL-E and GPT Image, and Google Imagen, learning what each one is genuinely good at. That comparison matters: models differ sharply in typography handling, photorealism, style consistency, and licensing terms, and choosing the wrong one wastes hours. You also use the AI features built into Photoshop, Illustrator, and InDesign for retouching, expansion, and repetitive production tasks.
The core of the course is prompt engineering and multi-model strategy: how to describe an image precisely, how to iterate toward a result instead of regenerating at random, and how to route different stages of a brief to different tools. Because these outputs go to paying clients, the course also covers commercial licensing and indemnification, copyright posture for AI-assisted work, data privacy, resolution limits, and disclosure norms. You finish able to fold AI into a real design workflow and deliver production-ready assets.
What You Will Learn
- Generate and refine images across Firefly, Midjourney, Leonardo, DALL-E, and Google Imagen
- Write and iterate prompts that produce usable, on-brief results
- Choose the right model for each stage of a creative brief
- Use AI features inside Photoshop, Illustrator, and InDesign to speed production
- Integrate AI output into production-ready design deliverables
- Apply commercial licensing, indemnification, and copyright rules to AI-assisted work
- Account for data privacy, resolution limits, and disclosure norms
- Evaluate where AI genuinely helps a design workflow and where it does not
