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AI course outline generator

Plan outcomes, modules, lessons, practice, and evidence for a specific audience and level.

  • Useful output before signup
  • Powered by SubSchool’s Foundry AI integration
  • Editable result
01

Describe what you need

Your input is used for this result and is not stored in the public tool usage record. Remove names and other personal data.

02

Your editable result

Complete the form to see a practical result here.

Examples visible before signup

Worked examples you can inspect and prefill

Every example is fictional, available in the page HTML, and waits for you to press Generate or Calculate.

Worked example

Digital SAT Math — six-week diagnostic course

Grade 10–11 students preparing for the current Digital SAT

Example
Input
  • Audience: Grade 10–11 students
  • Outcome: diagnose weak skills and improve problem-solving accuracy
  • Format: six weeks, two lessons per week

Six-module map

  • 1. Diagnostic and error patterns
  • 2. Linear equations and systems
  • 3. Functions and data
  • 4. Geometry and trigonometry
  • 5. Timed mixed practice
  • 6. Final review and next plan

Module 2 worked detail

Objective: solve and explain linear equations and systems, then identify whether an error came from representation, method, or execution.

  • Lesson 1: Translate a situation into an equation
  • Lesson 2: Compare substitution and elimination
  • Lesson 3: Diagnose a worked solution
  • Practice/evidence: original mixed set plus a written error explanation
  • Prerequisite: signed-number operations and equivalent expressions

Review before use: Check current official exam specifications, prerequisite coverage, and whether each module has one measurable evidence target.

Review before use

What to review before using the result

  • One measurable outcome per module
  • Prerequisites are explicit
  • Lesson volume fits the time available
  • Examples and language fit the audience
  • Every important outcome has visible evidence
Questions specific to this tool

Review questions before you continue

How detailed should an AI-generated course outline be?

Detailed enough to expose sequence, prerequisites, lesson purpose, practice, and evidence. Keep lesson scripts for the next planning stage.

Should I accept the first module order?

No. Test the sequence against prerequisite knowledge, learner time, and the evidence required before later modules.

Connected resources
GuideCompare course types before choosing oneTemplateCopy the course outline templateProduct workflowReview the AI course creator workflowRelated toolModel an online course priceRelated toolEstimate course revenue
Useful next step

Build the reviewed outline as an editable course draft

Open the teacher course workspace, choose description, PDF/EPUB/DOCX, or a 5–50 video library, and review the generated structure before publishing.

A draft stays outside the public catalogue until you change its course type.
Open the course workspaceSee the verified course workflow
Continue in the product

Create an editable course in SubSchool

This public result is not imported or saved in SubSchool automatically. Copy it, then use the matching authenticated editor or workflow to create the supported product entities.

See how it worksStart in SubSchool
FAQ

Is this output ready to publish or assign?

No. Treat generated content as an editable first draft. Check accuracy, level, examples, accessibility, and fit with your learners before use.

Is learner data stored?

The public usage record stores usage and cost metadata, not your input. Remove names and identifying information before submitting learner work.

Why is there a free limit?

It keeps expensive AI generation available for genuine evaluation. After the anonymous allowance, sign in and continue through the same AI balance used in SubSchool.