How to Build a Course With an AI Course Creator

The prompt-and-pray approach fails because it skips the one step that makes a course teach. ChatGPT generates content first and leaves you to judge it after. The structure was never approved, so rewriting is the job — not the exception.

Generic AI summarises whatever you feed it. It doesn't know the difference between an awareness objective and a procedural one, or when a task needs a worked example instead of a quiz. The output looks like a course: structured, formatted, apparently complete. Underneath, there's no learning framework holding it together. You paste in an SOP and get back something plausible. Plausible isn't the same as sound.

That gap is where the designer's time disappears. You spend it reverse-engineering the structure the tool should have built, rebuilding interactions that don't match the objective, and checking work you didn't design. The speed you were promised evaporates in the review.

An AI course creator built on instructional design frameworks takes your strategy and builds from it. That's a narrow job, and a specific one. Your learning objectives are the brief; everything the tool builds flows from them.

You input what the learner should be able to do, at what level, in what context. The AI reads the objective and selects the instructional structure that serves it:

• A procedural objective builds worked examples and a performance scenario
• A conceptual objective builds explanation, comparative examples, and a comprehension check
• The audience context sets the depth — an experienced engineer gets fewer foundations and more specifics, a new starter gets more scaffolding before the scenario

Generic AI summarises the input. Edplay, as an AI course creator, reads the objective and chooses the approach. Same source material, different output — because the objective and the audience are what shape it, not the prompt wording.

Josh Bersin, global industry analyst and founder of The Josh Bersin Company, names what that shift unlocks: "Apply AI to that, and 70 to 80% of that changes, because with an AI system the needs analysis is almost automatic. The person just asks a question — 'How do I do this?' — and that input is instantly available to you as an L&D person." The AI executes the production. You focus on the strategy.

Three things happen between your input and the first working draft: the AI interprets your source material, maps it to the instructional framework, and generates a storyboard for you to review. The storyboard is the checkpoint. You see the course architecture before a single page builds.

The storyboard lays out the plan:

• Section titles and their order
• Interaction type for each section
• The key content beats the course will cover

You review it against instructional intent — reorder sections, swap interaction types, add a topic the source missed. Nothing generates past the storyboard without your sign-off. In a general AI workflow, the output generates first and you review after, so a rewrite is baked in. In Edplay, the structure is approved first, so the first draft is a refinement. After you approve, Edplay builds the full course — with interactions, scenarios, knowledge checks, and voiceover scripts — in as fast as four minutes.

You control every decision that needs instructional judgment. The AI handles every task that needs production skill. That line is the whole design of the workflow, and it never moves.

You own the judgment calls:

• Learning objectives and audience analysis
• Content accuracy verification and SME (subject matter expert) review
• Storyboard approval and the final publish decision

The AI owns the production:

• Layout and responsive design
• Interaction building and scenario branching logic
• Image selection, voiceover scripts, and knowledge-check construction
• SCORM (Sharable Content Object Reference Model) packaging

After generation, every element stays editable — text, assets, structure, voiceover, images. You can refine a single asset through the chat: "Make this scenario relevant to a pharmaceutical manufacturing context," or "Shorten this section for a senior audience." The course responds without rebuilding from scratch. Designers create. Edplay builds. Never flip that.

Edplay selects from 30-plus interactive asset types based on the learning objective, and you can override at the storyboard stage or after generation. The selection isn't random. It's governed by the learning modes you set once at onboarding, so every course inherits the same framework no matter the topic or who built it.

Here's how the tool matches format to intent:

• Scenarios: branching paths calibrated to the learner's role and performance context — prompt "make this relevant to our night shift process" and it updates without a rebuild
• Knowledge checks: application over recall — scenario-based for application objectives, sequencing for procedural tasks, multiple choice for straight recall
• Interactions: drag-and-drop, hotspot images, flip cards, accordion menus, and timelines, chosen to match how the learner applies the knowledge

In ChatGPT, a course gets whatever interactions the prompt asked for — governed by nothing. In Edplay, the interaction library is governed by your configured learning modes, so consistency holds as you scale from two courses to two hundred.

Publishing takes one click. You select SCORM 1.2 or SCORM 2004 and export the package, and Edplay also supports direct embed via URL and API integration for LMS (learning management system) data sync.

SCORM 1.2 is the legacy standard most enterprise LMS platforms still require. SCORM 2004 adds granular tracking — per-page completion, detailed interaction data, score normalization. Edplay exports both, so test your LMS's required version during the trial. After publishing, built-in analytics track completion rates, quiz scores, and where learners are struggling, queryable in plain language without a separate reporting platform.

The full cycle — from SOP (standard operating procedure) upload to LMS publish — runs under an hour. The first working draft is four minutes of that. The rest is storyboard review, targeted edits, SME sign-off, and publish. That's the trade the tool makes: it takes the production, and it hands you back the time you were spending on it.

With Edplay AI, you keep the strategy and hand off the production. Our AI course creator builds from your learning objectives and audience context, generates a storyboard for your approval, and produces a full first draft with interactions, scenarios, knowledge checks, and voiceover in as fast as four minutes. See how the workflow runs end to end: bring your own learning objectives and we'll build the storyboard, take your approval, and generate the first draft in a single session.