Midjourney AI Art: Master Prompts, Styles & Composition
Develop essential generative ai & chatgpt skills with expert instruction and practical examples.
What You'll Learn
Skills you'll gain:
Prerequisites & Target Audience
Skill Level
Requirements
Who This Course Is For
Course Information
About This Course
Midjourney is one of the most powerful AI art tools available today, allowing anyone to create unique, professional-quality AI-generated images. In this course, you'll learn how to use Midjourney for AI art creation from scratch - no prior experience required. We'll start with the essentials: what Midjourney is, how to set up your account, and how to navigate the Midjourney workspace effectively.
You'll quickly move into prompt engineering - the core skill of writing prompts that produce stunning AI images. You'll learn the difference between effective and weak prompts, how to apply artistic styles, and how to guide Midjourney with composition principles and creative camera angles for maximum visual impact. We'll also explore powerful Midjourney parameters like "-" to fine-tune your AI art and produce consistent, repeatable results every time.
Along the way, you'll develop a practical workflow for saving, organizing, and improving your AI-generated artwork so you can work faster, smarter, and more creatively. Whether you're an artist, designer, architect, content creator, marketer, educator, or simply curious about AI image generation, this course will help you master Midjourney and unlock your creative potential. All you need is a computer or mobile device, a stable internet connection, and access to Midjourney through Discord.
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$19.99
list price when the catalogue was read (2026-07-07); Udemy sale prices run lower
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Concepts behind this area
Deep Learning
Deep learning is machine learning built on neural networks of many stacked layers, which work out for themselves which properties of the raw data matter instead of being handed a list by a person.
Generative AI
Generative AI is the market's name for models whose output is a piece of content, such as text, images, audio, video or code, as opposed to the much larger body of models that sort, score or forecast things that already exist.
Large Language Models
Large language models are neural networks trained on a vast quantity of written text to predict the piece of text that comes next, an objective narrow enough to state in a line and broad enough to yield writing, translation, code and summary as side effects.
The field, explained: Artificial Intelligence & Machine Learning
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.