AI Image Generation Prompting: Midjourney, DALL-E, and Stable Diffusion
A practical course in writing, refining, and productionising prompts for modern AI image tools
AI Image Generation Prompting: Midjourney, DALL-E, and Stable Diffusion is a practical course in writing, refining, and productionising prompts for modern AI image tools. You will learn how Artificial Intelligence image systems interpret language, how to shape stronger visual outputs, and how to build repeatable workflows for creative, marketing, and professional use.
Master AI Image Generation Prompting For Professional Visual Work
- Learn how to structure effective prompts using subject, setting, style, composition, lighting, colour, texture, and mood.
- Improve weak outputs through iteration, references, seeds, variations, constraints, and negative prompts.
- Compare platform-specific workflows for Midjourney, DALL-E, and Stable Diffusion, including advanced control techniques.
- Build reusable prompt systems for consistent characters, products, campaigns, and team production workflows.
A complete introduction to AI Image Generation Prompting (Midjourney, DALL-E, Stable Diffusion) for creative and commercial image production.
This course starts with the foundations of text-to-image creation, showing how Artificial Intelligence image generators translate prompts into visual results. You will break down the anatomy of an effective image prompt and learn how each part of your instruction influences subject matter, framing, style, realism, and creative direction.
From there, you will develop a practical visual language for prompting. Lessons cover composition, camera language, lighting, colour, texture, mood, mediums, genres, and art direction, helping you move beyond vague descriptions toward prompts that communicate clear intent. You will also learn how to diagnose weak outputs, refine prompts systematically, use references and seeds, and avoid common artifacts with negative prompting.
The course then compares workflows across Midjourney, DALL-E, and Stable Diffusion so you can choose the right tool and prompting style for each job. You will explore stylised and editorial image creation, clear instruction-based outputs, Stable Diffusion settings, models, samplers, LoRAs, guided inputs, inpainting, outpainting, and image editing workflows.
By the end of the course, you will be able to use Artificial Intelligence more confidently in real production contexts, from marketing and social media visuals to brand campaigns, consistent characters, product imagery, and reusable prompt libraries. You will leave with a stronger creative process, a clearer understanding of professional AI image workflows, and the ability to produce more consistent, controlled, and purposeful visual results.
Full lesson breakdown
Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.
Foundations of Text-to-Image Creation
2 lessons
Prompt Structure and Visual Language
4 lessons
Refinement and Control
3 lessons
Platform-Specific Prompting
3 lessons
Advanced Control Techniques
2 lessons
Applied Creative Systems
2 lessons
Professional Practice
2 lessons
Professor Christina Ross
Professor Christina Ross guides this AI-built Virversity course with a clear, practical teaching style.