From a folder of slides to a course students do.
Send us the slides, recordings, and syllabus your department already has. Alma's learning engineers build them into a complete online course inside your LMS, in weeks, and your faculty and learning designers approve the design and the result.
- Time to launch
- One course in weeks
- Your faculty's time
- About a day of decisions
- Where it runs
- Any LTI-compliant LMS
- Terms
- A fee, no share of tuition
You decide what is taught. We build the course.
Most departments already have the course: in slides, in recordings, and in the head of the person who teaches it. What they lack is the capacity to build it for online students. With most outside help, your own people still end up doing the work. Alma's learning engineers take the production. Your faculty and learning designers keep the direction and the approval.
Faculty stay the authors, and nothing goes live without their approval.
What the course teaches and what a grade means stay with your faculty. Your campus learning designers review the design alongside them.
The instructor of record does not change
The course carries their name, and the intellectual work in it is theirs.
You set how deep the review goes
Faculty approve the design: the outcomes, the sequence, and the rubrics. Every module is open to review before a student sees it, and teaching assistants or learning designers can check that the build matches the design.
Faculty agree in writing before their face and voice are used
Lectures show your faculty in their own face and voice, and each faculty member opts in.
The learning outcomes are the ones already approved
Every activity is traced to the learning outcomes approved for the course, with a written design rationale your team can read.
A fee for the work, and you own what is built
Alma takes no share of tuition. The finished course is yours, and contract length follows your preference. Your material stays on Alma's platform and is never used to train a model.
Your policy decides who holds the rights
Who holds the rights to a course, and what happens when its author moves on, follows your institution's policy.
Accessibility is reviewed with you, from the first draft
Tell us the accessibility guidance your institution follows and we build to it. Your team can check every slide, video, and handout with your own tools, from your faculty's first review through to launch.
The starting point is whatever the department already has.
It rarely needs to be tidy, and it does not need to be complete.
Lecture slides
Whatever your faculty teach from, in whatever state the deck is in.
Recorded lectures
Including lecture captures from past terms.
A syllabus or course outline
Even if it is a single page.
Readings, textbooks, and course packs
Yours, or the ones you assign.
Problem sets, past exams, and labs
The question bank, the rubrics, and the cases you argue in seminar.
The faculty member who teaches it
When a course lives in someone's head, we interview them and build from the transcript.
You do not need a finished course to start.
A syllabus, a reading list, and a conversation with the faculty member who teaches it are enough. We build the first module from that, and they correct it before the rest follows.
A finished course, running inside your LMS.
Students open it where they open every other course, under your institution's name. It arrives assembled, so the build never lands on your design team's queue.
Lectures students can interrupt
Each video lecture has an AI teaching assistant that answers from the course itself. Students raise a hand and ask, as in a live class.
Practice with AI characters
Role-plays and simulations in text, voice, or video. The AI character pushes back on anything vague.
Assignments graded against a rubric
Your rubrics, or ones we draft and your faculty approve. Each assignment is AI-graded and human-confirmed, graded fully by your instructors, or graded fully by AI where you choose.
A gradebook that syncs with your LMS
Scores go to the gradebook your faculty already use.
Learning analytics
Who is active, who is flagged at risk, and where students stop.
The AI teaching assistant supports your instructor’s teaching and does not replace instructor interaction. You decide which roles stay human, including office hours.
A typical three-credit course holds about 200 activities.
It has 8 modules and 135 hours of student work, the standard arithmetic for 3 credits: 45 in contact and 90 independent. For three-quarters of every hour, the student is in active work. The counts below are joined by about 50 readings and cases.
About 65
video lectures
Each with an AI teaching assistant.
About 25
live conversations
With AI characters: role-plays, simulations, and practice.
About 30
graded assignments
Each graded against a rubric, with feedback that quotes the student's own words.
About 20
knowledge checks
Ordinary graded quizzes in your LMS that play like a game.
15
discussions
Every post gets a reply, from the course's AI teaching assistant and from classmates.
Every
activity carries an outcome and a time estimate
Your team can check each estimate against your institution's credit-hour policy.
Change it once, and it changes everywhere.
On some campuses, an online course waits years for its next full revision. A course Alma built is refreshed in days, without a rebuild, and your faculty approve the change before students see it.
One edit goes through the whole course
Update a definition, a citation, a figure, or a policy in one place, and it carries through every module and every section.
Lectures update from the script
Faculty who choose to can record once and update a lecture from the script, without going back into the studio.
A new template reaches every course
If your institution changes its templates or style, the change goes through every course the same way.
The same course in other languages
In dozens of languages, spoken as well as written.
4 steps, in weeks. The decisions take about a day of your faculty’s time.
Universities that publish their own timelines put one online course at about a semester. Each step below says who does what.
Step 01
Discovery
You send what the department has. We map it to your students and the approved learning outcomes.
You: send materials
Step 02
Design
We propose the modules, the activities, and a time estimate for each. Your faculty and learning designers approve the plan before anything is produced.
You: approve the design
Step 03
Build
Alma's learning engineers produce the course. Your faculty and learning designers review each module.
Alma: builds. You: review
Step 04
Launch
After your final approval, the course goes live in your LMS with enrollments and the gradebook connected.
You: approve the launch
Two things to know before you book a demo.
What are students told about AI?
The AI teaching assistant and the AI characters are named as AI, and a named instructor stands behind the course and its grades.
Who is this not for?
Anyone who wants a tool to make a lesson themselves this afternoon, or a library of ready-made content. Each course is built with your faculty, and that takes weeks.
Other places to start.
Course refresh & redesign
When the course is already online and you want an AI teaching assistant and practice added.
See course refresh
Degree programs
When the job is a whole program, built course by course.
See degree programs
Learning analytics
When the first question is which students are at risk.
See learning analytics
How we work
The 4 steps in full, with who does what at each.
See the full process
See an example built from your own material.
We build an example from your own material, at no cost, before you decide. Bring a course you have in mind. We will walk you through a finished one and what yours would need.