The most accessible way to create custom course images with AI is the one you might already be using for other tasks: ChatGPT. DALL-E is built directly into ChatGPT's conversation interface, which means you can describe the image you need in plain English, see the result in seconds, and refine it through follow-up messages — no separate tool, no new account, no learning curve beyond the conversation you are already having.
What you’ll walk away with:
- A set of custom course images matching your brand style
- A style reference prompt for consistent visuals across materials
- Images sized for specific placements — banners, headers, social
Why DALL-E inside ChatGPT
There is no separate DALL-E app to install or navigate. The image generation lives inside the same ChatGPT interface where many course creators already draft lesson content, brainstorm module structures, and write email sequences. That matters because it eliminates the context switch that comes with dedicated image tools. You do not need to learn Midjourney's parameter syntax or figure out Stable Diffusion's model settings. You describe what you want in the same conversational style you use for everything else in ChatGPT.
The conversational iteration is the real advantage. If the first result is close but the color palette is wrong, you say so. If the composition needs more negative space on the right for text overlay, you describe that. Each refinement builds on the previous image within the same thread, which is faster and more intuitive than re-entering prompts from scratch in a standalone image generator.
For most course creators, the image quality is good enough. You are not producing gallery prints. You need a professional-looking course banner, a set of consistent lesson illustrations, or social media graphics that do not look like generic stock photos. DALL-E handles all of these competently, especially when you steer it toward illustrated or stylized aesthetics rather than photorealism.
Step by step: Generating course images in ChatGPT
Start with the end use
Before you type a prompt, decide where the image will appear and at what size. A course banner displayed at 1200 by 630 pixels has different composition needs than a small thumbnail or a square social media post. Tell ChatGPT the intended dimensions and context in your first message. This prevents the common mistake of generating a beautiful image that does not fit the space it needs to fill.
Describe the scene, style, and mood
Good prompts have three layers: what is in the image (scene), how it looks (style), and how it feels (mood). "A small group of adults sitting in a circle having a discussion" is the scene. "Flat illustration, clean lines, muted earth tones" is the style. "Warm, inviting, collaborative" is the mood. Including all three layers in your initial prompt gives DALL-E enough direction to produce something close to what you need on the first try.
Specify what you do not want
DALL-E responds to exclusions. If you do not want text in the image, say "no text, no words, no lettering." If you want to avoid a cluttered composition, say "minimal background, plenty of negative space." Exclusions are especially useful for course images because you often need clean compositions that work behind overlaid text or inside constrained layout spaces.
Generate and evaluate
Send the prompt and look at the result. Do not evaluate it as fine art — evaluate it against your specific use case. Does it work at the size it will display? Is the color palette compatible with your course branding? Does it communicate the right subject matter at a glance? If the answer to all three is yes, you are done. If not, move to the next step.
Refine through conversation
This is where the ChatGPT integration earns its value. Instead of rewriting the entire prompt, you simply tell ChatGPT what to change: "Make the background lighter," "Remove the person on the left," "Switch to a watercolor style." Each follow-up generates a new image that carries forward the context of your conversation. Two or three rounds of refinement typically get you to a usable result.
Download and resize
DALL-E generates images at 1024 by 1024 pixels by default, though you can request other aspect ratios. Download the final image, then resize or crop it for your specific placement using any basic tool — Canva, Preview on Mac, or even your course platform's built-in image editor. If you need the same visual in multiple sizes (banner, thumbnail, social post), it is faster to generate one good image and crop it three ways than to generate three separate images.
Prompts to try
These are starting points. Adjust the subject, palette, and style to match your course topic and branding.
Course banner
"Create a wide banner image (16:9 aspect ratio) for an online course about [your topic]. Flat illustration style, clean and modern, muted [color] and [color] palette. Show [relevant visual element] in a minimal composition with plenty of negative space on the right side for text overlay. No text, no words in the image."
Lesson illustration
"Create a square illustration for a lesson about [specific topic]. Soft watercolor style, warm tones. Show [one or two simple visual elements that represent the concept]. Minimal background, centered composition. No text."
Social media graphic
"Create a square image for Instagram promoting an online course about [topic]. Bold, contemporary illustration style with a [color] background. Show [visual metaphor for the transformation your course offers]. Simple, eye-catching, no text."
The human layer
DALL-E generates images. It does not make design decisions. The difference between a course that looks polished and one that looks like a random collection of AI art comes down to consistency — and that consistency requires a human making deliberate choices. Pick one illustration style and use it across every image in your course. Choose a color palette that matches your brand and specify it in every prompt. Decide on a composition approach (minimal with negative space, or detailed and illustrative) and stick with it.
These are design decisions that AI cannot make for you, because they depend on knowing your audience, your brand, and the feeling you want your course to create. DALL-E is the production tool. You are still the designer, even if you never open Photoshop.
Course creator tips
Build a style reference prompt
Write one master prompt that defines your visual style — illustration type, color palette, composition approach, what to exclude — and paste it at the start of every image generation conversation. This is the fastest way to maintain visual consistency across a full set of course images. Save it in a text file or note so you do not have to reconstruct it each time.
Choose illustrated styles over photorealism
DALL-E's photorealistic output sometimes includes subtle artifacts that undermine credibility: hands with extra fingers, lighting that does not match across the frame, skin textures that look synthetic up close. Illustrated, flat-design, and watercolor styles avoid these problems entirely because they operate within a visual language where perfect realism is not the expectation. They also tend to age better — a clean illustration still looks current in two years, while AI-generated "photos" increasingly look dated as viewers learn to spot the tells.
Generate in batches, not one at a time
Set aside thirty minutes to create all the images for a module or an entire course in one session. Working in a batch keeps you in the visual mindset, ensures consistency across images, and is significantly faster than generating one image at a time across separate days. Start a single ChatGPT thread with your style reference prompt, then work through your image list sequentially.
What it gets wrong
Text rendering is the most persistent limitation. DALL-E can handle a single word or a very short phrase inside an image, but anything longer — a title, a label with more than a few words, any kind of body text — frequently comes back with garbled characters, misspellings, or misaligned letters. If your image needs readable text, generate the visual without it and add text afterward in Canva or another editor.
Consistency across multiple images is harder than it should be. Even with a detailed style prompt, DALL-E introduces subtle variations between generations — a slightly different line weight, a shifted color temperature, a change in character proportions. For a set of lesson illustrations that need to feel like they belong together, expect to do some back-and-forth refinement. Midjourney's style reference feature handles this better, which is worth knowing if visual consistency is a high priority for your course.
Specificity has limits. If you need an image of a very particular scenario — a specific yoga pose performed by a specific body type in a specific setting — DALL-E may get close but rarely nails every detail. The more specific your requirements, the more refinement rounds you will need. For highly specific visuals, a stock photo or a commissioned illustration may still be the faster path.
Frequently asked questions
Do I need a paid ChatGPT plan to use DALL-E for course images?
Yes, as of early 2026. DALL-E image generation is available on ChatGPT Plus ($20/month), Team, and Enterprise plans. Free-tier users can generate a limited number of images, but the daily cap is low enough that creating a full set of course visuals requires a paid subscription. If you already pay for ChatGPT for writing or brainstorming, the image generation is included at no extra cost.
Can DALL-E generate text inside images reliably?
It has improved but still struggles with longer text. Single words and short phrases — a title on a banner, a label on a diagram — render correctly most of the time. Full sentences, bullet points, or anything beyond five or six words frequently contain misspelled characters or misaligned letters. For images that need readable text, generate the visual in DALL-E and add the text afterward in Canva or any basic image editor.
Will my course images look obviously AI-generated to students?
It depends on the style you choose. Photorealistic images often have subtle tells — overly smooth skin, strange hand anatomy, inconsistent lighting — that attentive viewers notice. Illustrated, flat-design, and watercolor styles tend to pass without question because students do not expect photographic accuracy from those formats. Choosing a deliberately stylized aesthetic sidesteps the uncanny valley entirely.
Your images are ready — now build the course around them
Custom images set the visual tone for your course. They tell students this is not a generic template — someone designed this experience with intention. On Ruzuku, you upload those images directly into your lessons, where they appear alongside your video, text, and exercises. Students see your DALL-E visuals in context, as part of the learning, not as decoration on a landing page.
If you have generated a set of consistent lesson headers, they work especially well as the first thing students see when they open each step — a visual signal that they have arrived somewhere intentional.
Related guides
- How to Create Course Images Using Midjourney — more control over visual style and consistency, steeper learning curve
- How to Create Course Visuals Using Canva Magic Studio — AI generation plus a full design editor in one tool
- How to Create Course Slides Using Canva — design slides and presentations for your lesson content
- The $0 Course Creation Stack — see how AI-generated images fit into a zero-budget workflow
- How to Create Your First Online Course — build your course around the visuals you have created