Building a course used to mean days of staring at a blank curriculum planner: what sections go first, how many lessons does a topic actually need, what should the quiz even ask. AI has changed that math. You can now describe a course topic in one sentence and get a working draft outline, lesson content, and quiz questions in minutes.
Updated September 2026. This guide walks through exactly how to create a course using AI inside WordPress, using Learnomy‘s built-in AI course-builder wizard: no separate SaaS subscription, no exporting content between tools. Everything AI drafts stays inside your own learning platform, as an editable draft you approve before anything goes live.
Why Learn How to Create a Course Using AI Instead of Building From Scratch
This is not a hypothetical shift for some future release. It is the workflow available right now inside a self-hosted learning platform, and it changes the calculus for anyone who has ever put off building a course because the first blank page felt like the hardest part.
AI does not replace the instructor, it replaces the blank page. The three slowest parts of building a course are structuring the curriculum, writing first-draft lesson content, and writing quiz questions that actually test the material. AI handles a rough draft of all three in a single pass, and you edit from there instead of starting from zero. This same shift is happening across WordPress more broadly; if you are curious how far it goes, our breakdown of AI website builder tools for WordPress covers the bigger picture beyond course creation.
- Faster first draft. A full course outline with sections and lessons takes seconds instead of an afternoon of whiteboarding.
- Consistent structure. AI naturally sequences beginner-to-advanced content, which is easy to miss when you are deep in one topic.
- Lower barrier to publishing. Subject-matter experts who are not natural course designers get a usable starting structure immediately.
- You stay in control. Nothing publishes automatically. Every AI-generated section, lesson, and question is a draft until you review and approve it.
How Much Time Does This Actually Save?
It helps to see the difference side by side. None of this is instant publishing, you still read and edit everything, but the blank-page time drops to almost nothing.
| Task | Without AI | With Learnomy’s AI Authoring |
|---|---|---|
| Curriculum outline | An hour or more of whiteboarding | Under a minute |
| First-draft lesson content | Thirty to sixty minutes per lesson | A few seconds per lesson |
| Quiz questions | Fifteen to thirty minutes per quiz | Under a minute for up to twenty-five questions |
| Total for a six-lesson course | A full afternoon or more | Roughly fifteen to twenty minutes of review and edits |
That saved time does not disappear, it moves. Instead of spending it structuring a blank document, you spend it reading, correcting, and adding the real expertise and examples only you have.
What You Need Before You Start
None of these are exotic requirements. If your site is already running a Learnomy course or two, you likely already meet the first requirement, and the remaining setup takes a few minutes rather than a few hours.
- A WordPress site, self-hosted, so you own the content and the platform.
- The Learnomy platform installed and active.
- Learnomy’s AI Authoring capability enabled, with an AI provider connected under WordPress Settings then Connectors. This is WordPress’s built-in AI connector layer: you bring your own provider key once, and every AI feature across your site shares it.
Once the provider is connected, Learnomy’s admin turns on a “Generate with AI” button across the course builder, the quiz editor, and the course creation screen. Here is the full walkthrough.
Step 1: Turn On AI Authoring in Learnomy
In your WordPress admin, go to Learnomy → Settings → AI Authoring. Toggle it on, choose which roles are allowed to use it (administrators always can; you can extend this to instructors), and decide whether AI-generated content should always save as a draft first. This is on by default, and it is the setting you want: nothing an AI writes goes live without a human reading it first.
Use the built-in Test Connection button to confirm your AI provider is responding before you start building. It saves you from writing a whole brief only to hit a configuration error at the end.
Step 2: Describe the Course You Want
From the front-end course builder, click Create with AI. You will be asked for:
- Topic: what the course is about. This becomes the course title, so be specific. “Personal Finance for Freelancers” beats “Finance.”
- Audience: who it is for, for example “complete beginners” or “working professionals with basic Excel skills.” This changes the vocabulary and pacing AI uses.
- Number of sections: between one and twelve. Start with four to six for a first draft; you can always add more later.
- Instructions (optional): free text to steer the result, such as “keep it practical, add a section on common mistakes, avoid heavy math.”
This step costs nothing to your curriculum yet, it is a proposal, not a write.
Step 3: Let AI Draft the Outline
Click Suggest an outline. In a few seconds, AI returns a structured curriculum: each section with a short title and a handful of lesson titles under it, plus a one-line suggested assessment. This is the part that used to take the longest, mapping a topic into a logical teaching sequence, and it is now a first draft you are reacting to instead of building blind.
A Real Example: From One Sentence to a Six-Lesson Course
Picture a personal trainer who wants to teach “Beginner Strength Training in 8 Weeks.” She types that as the topic, sets the audience to “complete beginners with no gym experience,” picks six sections, and adds one instruction: “keep it practical, minimal equipment.”
AI returns an outline in seconds. Section one covers getting started safely, with lessons on warming up and understanding form before adding weight. Section two focuses on building the habit, with a lesson on scheduling short sessions around a beginner’s real life. Later sections progress into basic compound movements and simple progress tracking. She reviews the outline and removes a section on advanced periodization since it is aimed at beginners, not competitive lifters, then clicks generate. Ten minutes later she has draft lessons and two quizzes with multiple-choice questions on proper form, ready for her to add her own coaching voice and real client stories.
Step 4: Review and Edit Before Anything Is Written
This is the step most AI course tools skip, and it is the one that matters most. Before a single lesson is generated, you see the full proposed outline and can remove any section or lesson you do not want. Nothing is created until you confirm. If the AI missed something obvious to your audience, this is where you catch it, cheaply, before any content exists to clean up.
Step 5: Generate the Draft Curriculum
Click Generate draft curriculum. Learnomy writes each section and lesson as a real draft in your course, using the same course-builder data your instructors already work in, not a separate export. Each lesson gets a short starter body, two to four paragraphs, so you are editing existing text rather than writing from nothing. Everything lands as a draft, visible only to you until you publish.
Step 6: Generate Quiz Questions With AI
Open any quiz in the Learnomy quiz editor and click Generate questions with AI. Describe what the questions should cover, how many you want (up to twenty-five), and which types: multiple choice, true/false, or short answer. AI drafts the questions with answer options and the correct answer flagged. You review the list, remove anything off-target, and only the ones you keep are added to the quiz. If the quiz already has questions, AI is told what is already there so it does not repeat itself.
Step 7: Edit, Polish, and Publish
At this point you have a full draft course: sections, lessons with starter content, and a quiz. Go through it like you would any first draft: tighten the language, add your own examples and expertise, fix anything AI got generically right but specifically wrong for your audience. Then publish section by section, or the whole course at once, the same way you would publish any Learnomy course. Once it is live, the next question is usually how to get students into it. Our guide on how to sell online courses on WordPress walks through checkout and enrollment options.
The AI did the structural heavy lifting. The expertise, the real examples, and the judgment calls about what your specific students need, that part is still entirely yours, and it is what makes the course worth taking.
Three More Examples Across Different Topics
Seeing one example is useful, but the value of a specific prompt becomes clearer once you see how the same pattern adapts across unrelated subjects.
A bookkeeper teaching “QuickBooks Setup for Freelance Photographers” sets the audience to “photographers with no accounting background” and adds the instruction “use photography business examples throughout, avoid generic accounting jargon.” The resulting outline sequences chart-of-accounts setup before invoicing, then tax-category tagging, because that is the order a photographer actually touches those screens in their first month of business, not the order a general bookkeeping course would default to.
A yoga instructor building “8-Week Beginner Flexibility Program” sets the audience to “adults returning to movement after a sedentary period” and instructs “no advanced poses, emphasize consistency over intensity.” The AI draft naturally front-loads breathing and mobility basics ahead of any pose sequencing, and the quiz questions it generates test comprehension of safe range-of-motion cues rather than pose names, because the instruction steered it toward practical safety over vocabulary.
A software developer building “Introduction to SQL for Data Analysts” sets the audience to “analysts comfortable with spreadsheets but new to databases” and adds “use spreadsheet comparisons to explain SQL concepts.” The generated lessons consistently reach for a spreadsheet analogy before introducing new SQL syntax, which is exactly the bridge a self-taught analyst needs and exactly the kind of instructional choice that is easy to forget when you already think in SQL yourself.
The pattern across all three: the topic sets the subject, but the audience and instructions fields do the real work of making the draft usable on the first pass instead of the third.
Tips for Better Results
- Be specific in the topic field. “Excel for small business bookkeeping” produces a much more useful outline than “Excel.”
- Use the instructions field to set constraints early instead of fixing them after generation. “Keep each lesson under 500 words” or “focus on hands-on exercises” both steer the draft.
- Generate in passes. If a course needs ten sections, it is often cleaner to generate five, review, then ask AI to add complementary sections. It is told what already exists so it will not repeat itself.
- Always read every lesson before publishing. AI-drafted content is a starting point, not a finished product. Treat it the way you would treat a draft from a junior writer.
Editing AI Output Like a Course Designer, Not a Proofreader
The habit that separates a good AI-assisted course from a mediocre one is not how carefully you check spelling, it is how you edit for the gap between generic-correct and specifically-right. A lesson on “setting client expectations” might read perfectly well in general terms while missing the one detail that matters for your actual audience: a freelance photographer’s client conversation about usage rights looks nothing like a freelance developer’s conversation about scope creep, even though both AI drafts might use similar generic language about “clear communication.”
Read each AI-generated lesson and ask three questions before you accept it as-is. Would a student in my specific situation recognize this example as something that could happen to them? Does this lesson reference a tool, a workflow, or a term my audience does not actually use? And is there a real story or case from my own experience that would replace this generic illustration and make the lesson credible rather than generic? That third question is usually the one that turns an AI first draft into something worth charging for.
Quiz questions deserve the same scrutiny, for a different reason. AI-generated questions are usually grammatically sound and topically relevant, but they sometimes test recall of a fact rather than the judgment call your course is actually trying to teach. A question asking a student to recall a definition is easier to generate than one that asks them to apply a concept to a scenario, so it is worth manually upgrading at least a few questions per quiz from recall to application before you consider a quiz finished.
Troubleshooting Common AI Authoring Issues
A handful of predictable snags account for most of the friction people hit the first time they use this workflow. If the “Generate with AI” button does not appear at all, confirm AI Authoring is toggled on under Learnomy’s settings and that your WordPress user role has been granted access, since administrators see it by default but instructors need to be explicitly enabled. If the Test Connection check fails, the most common cause is an expired or mistyped provider key rather than anything wrong with Learnomy itself, so re-enter the key under Settings then Connectors and retest before assuming the feature is broken.
If generated content feels generic no matter how the topic is worded, the audience and instructions fields are usually under-used rather than the model underperforming. A one-word topic with an empty audience field gives the AI almost nothing to differentiate on, and the fix is almost always to add more specific context, not to regenerate the same vague prompt repeatedly. If a quiz generation request returns fewer questions than requested, check whether the topic is narrow enough to genuinely support that many distinct questions. Twenty-five meaningfully different questions on a single short lesson is a lot to ask of any method, human or AI.
Common Mistakes to Avoid
- Being too vague in the topic field. “Marketing” produces a generic outline that needs heavy rework; “Email marketing for local restaurants” does not.
- Skipping the outline review step. It is far cheaper to fix a section title than to rewrite three full lessons that were built on the wrong structure.
- Publishing without reading every lesson. Even a strong AI draft can get a fact, a tool name, or an example generically right but specifically wrong for your audience.
- Generating a large course in one giant pass. A twelve-section course is easier to review well in two or three smaller batches than in one massive dump.
- Forgetting to connect an AI provider first. Test the connection before you start building so you are not troubleshooting mid-brief.
Who Gets the Most Value From This
AI course generation is not for every kind of course creator, but it is a strong fit for a specific group. Subject-matter experts who know their material cold but do not build curricula for a living benefit the most. A chef, a bookkeeper, or a physical therapist can turn deep expertise into a structured course without learning instructional design from scratch. Independent coaches and consultants who want to package what they already teach one-on-one into a repeatable, sellable course also save real time, since AI handles the sequencing they would otherwise reverse-engineer from memory.
In-house training and learning-and-development teams get a different benefit: a faster way to draft the first version of an onboarding or compliance course, which they then route through their own review process before publishing. The one group that benefits least is anyone building a course on a topic they do not actually understand. AI can structure a curriculum, but it cannot supply expertise you do not have, and that gap shows up quickly once real students start asking questions.
AI Authoring Compared to a Freelance Curriculum Writer
Before AI course drafting existed inside the platform itself, the fastest way to skip the blank page was to hire a freelance instructional designer to draft an outline and first-pass lesson content, then edit their work into your own voice. That path still works, and for a subject where nuance matters enormously, a subject-matter expert collaborating with a skilled human writer can produce something an AI draft will not match on the first pass. But it introduces its own friction: a briefing call, a turnaround time measured in days rather than minutes, and a second person who needs to understand your audience as well as you do before they can write for them.
AI Authoring inside Learnomy compresses that same first-draft step into the same session where you are already building the course, with no handoff and no waiting. The tradeoff is honest: a freelance writer with real subject expertise might produce a stronger first draft on a nuanced topic, while AI produces a faster, serviceable first draft on almost any topic, at the cost of needing more of your own editing pass to add the specific expertise a hired writer might have brought natively. Most course creators end up using AI for structure and first-pass content, then investing their own edited time exactly where a freelance writer would have needed the most briefing anyway: the real examples, the specific audience knowledge, and the judgment calls that make a course worth teaching.
From Draft Course to Running School
Generating the outline and the first draft is the fast part. What happens after you hit publish is where Learnomy’s broader platform matters. The course you just built connects to the same checkout and membership tools as every other course on your site, so selling access does not require a separate plugin once the content is ready. If students finish and need proof, certificates are cryptographically signed and verifiable on a public page through a QR code, which matters the moment a course output doubles as a credential rather than just a video series. And if the course grows into something bigger than a single instructor teaching solo, discussion boards, a learning community around the school, and instructor revenue sharing are all part of the same platform rather than a separate vendor to onboard.
Scaling This to a Multi-Course School
The workflow above covers a single course, but the same steps compound quickly once a school runs more than one instructor. A team of five subject-matter experts, each covering a different topic, can each draft their own outline independently and in parallel, since AI Authoring works the same way per course regardless of how many other courses exist on the site. What changes at that scale is less the generation step and more the review step: it helps to establish a consistent internal checklist, similar to the “three questions” outlined above, so every instructor edits their AI draft to the same bar rather than five different standards of polish landing on the same course catalog page next to each other.
A school planning to scale this way benefits from deciding upfront who has AI Authoring access under Learnomy’s role settings, since giving every instructor the ability to generate and publish independently is a different workflow than routing every AI-assisted draft through a single curriculum lead for review before it goes live. Neither approach is wrong, but deciding on purpose beats discovering the gap after five instructors have already published five inconsistently edited courses.
Frequently Asked Questions About Creating a Course Using AI
Do I need to know how to code to create a course using AI?
No. The entire workflow above is point-and-click inside the WordPress admin and front-end course builder. No code, no separate app.
Does AI publish content automatically?
No. Learnomy’s AI Authoring is draft-first by default. Every section, lesson, and quiz question AI creates is saved as a draft and stays invisible to students until you review and publish it.
Which AI provider does Learnomy use?
Learnomy does not lock you into one AI vendor. It uses WordPress’s own AI Connector layer, so you configure a provider once under Settings then Connectors, and every AI feature across your site, including Learnomy’s course builder, shares that same connection.
Do I need to pay for anything extra to use AI Authoring?
AI Authoring is one of Learnomy’s advanced capabilities, and you will also need your own AI provider account connected through WordPress’s Connector layer. The provider bills you directly for usage; Learnomy does not mark it up. Check Learnomy’s own product page for the current breakdown of what is included where.
How long does it take to build a full course with AI?
The outline and first drafts land in minutes. Reviewing, editing, and adding your own expertise typically takes another fifteen to forty-five minutes for a four-to-six-section course, depending on how much you rewrite versus keep as-is.
Can I use AI Authoring to update an existing course instead of building a new one?
Yes. Open an existing course in the builder and use the same “Generate with AI” tools to draft additional sections or refresh a quiz. AI is told what content already exists so new suggestions build on it instead of duplicating it.
Will an AI-drafted course sound the same as everyone else’s AI-drafted course?
Only if you skip the editing step. The outline structure AI proposes can feel familiar across courses on the same general topic, but the lesson content is a draft, not a finished product, and the real examples, voice, and expertise you add during review are what actually differentiate a course. Two instructors describing the same topic with different audience and instruction fields will already get noticeably different drafts before either of them edits a word.
Does using AI to draft a course affect how the course performs in search or with students?
Search engines and students both respond to whether content is genuinely useful, not to whether an early draft involved AI. A published course that went through a real editing pass, with an instructor’s actual expertise layered on top of the structural draft, reads no differently to a search engine or a student than a course written entirely by hand. The risk is publishing an unedited draft, not using AI to produce the first version.
A Simple First Attempt Worth Trying Today
If you have never used AI course drafting before, resist the urge to start with your most ambitious course idea. Pick something you already know cold and could explain out loud without notes, a skill you have taught a colleague informally, a process you have documented in a support article, or a topic you answer questions about repeatedly. Run it through the outline generator with a specific audience and one or two constraints in the instructions field, then time yourself on the review pass. That single dry run tells you more about how this workflow fits your own teaching style than any amount of reading about it, and it gives you a realistic sense of how much editing time to budget before you commit to drafting an entire catalog this way.
Try It Yourself
Course creation is one of the more visible places AI has changed WordPress workflows, but it will not be the last. As more of the school, grading feedback, certificate design, even instructor onboarding, gets a similar first-draft assist, the through-line stays the same: AI removes the blank page, a human keeps the judgment. That balance is worth protecting deliberately as more of these tools appear, rather than assuming every new “generate” button deserves the same trust as the AI Authoring workflow described here, which was built specifically to stay draft-first and reviewable at every step.
Now that you know how to create a course using AI inside WordPress, the fastest way to see it click is to try it on a real topic. If you are building a course site on WordPress, Learnomy is worth a look specifically for this workflow: the AI course builder is built into the same curriculum editor you already use, not a bolted-on separate tool, and the checkout, certificates, and community pieces are already waiting once the course is ready to publish. Pair it with a community-ready theme like BuddyX if your course site also needs discussions, member profiles, or a learner community around the content.