Learners receive the published package.
Living Courses / Learning that stays connected
A course that keeps teaching.
Bring reviewed changes into the course. Help learners understand them with an AI Tutor that knows the lesson. Give people a reason to return.
Course
Reviewed changes. Guidance in context. A place to continue.
01 / Keep the learning connected
From course package to continuing learning.
A published package captures a moment in time. A Living Course connects reviewed changes, contextual guidance, and continued learning inside the course. Your source material changes. The learning has a way forward.
AI can help with authoring. Teams still review course content and decide when to apply or publish a change.
02 / Bring reviewed change into the course
The knowledge changed. Keep learning.
Review the change, apply the approved update, and bring revised guidance into the existing course. Learners return to the material with the new context in place.
A policy changed
The course team reviewed and applied revised guidance to this course.
Review the change.
A course team checks the proposed update and its source.
Apply it to learning.
The approved change joins the relevant course experience.
Ask what changed.
Learners can use the AI Tutor to make sense of the updated material.
03 / Start from the lesson
An explanation that starts where you are.
Ask about the lesson in front of you. The AI Tutor draws on course material and learner context to explain, coach, and ask questions. It starts with what you are learning, not a blank conversation.
What changed?
The revised guidance adds a review before approval.
Course sourceThe new guidance adds a review before approval. Here is how that changes the process…
04 / Try it and learn from the attempt
Try it. Get feedback. Try again.
Put an idea to work, see the feedback, and try again. Guided practice supports selected AI topics, including prompt engineering, privacy, and evaluating AI responses.
Write a clearer task prompt.
Ask an AI to summarize an incident report for an on-call handoff.
Clearer prompt. It names the audience, task, format, and a constraint.
Make an attempt.
Choose a response to a focused scenario.
See why it works.
Get feedback tied to the selected topic.
Build another try.
Use the feedback to improve the next attempt.
05 / Make it easier to return
Pick up the conversation.
Ask for short examples first. Review the preference later, change it, or forget it. Learner-controlled memory keeps useful context close without making every conversation permanent.
06 / Talk or type
Keep the lesson in view.
In enabled workspaces, voice offers another way to ask about a course while keeping on-screen lesson support nearby.
Before the final step
Check the request, then confirm with your team.
07 / Part of a wider learning system
Connect learning to the work it supports.
Learning goals, source material, learner activity, and evidence can connect across the Living Learning System. Each part has its own role.
A few practical questions
Living Courses, in plain language.
What is a Living Course?
A Living Course brings evolving course content, contextual AI Tutor guidance, and learner continuity into one experience. Reviewed topic updates can be applied within the existing course, while learners return to their learning journey.
Does the course update itself automatically?
Changes are prepared for review. Approved changes can be applied to the existing course. New information does not automatically become published learning without that review.
How does this differ from a SCORM package?
SCORM packages distribute course content and exchange learning records with an LMS. They can be revised and republished. Living Courses use a connected experience for reviewed topic updates, in-course AI Tutor guidance, and ongoing learner context.
What does the AI Tutor know?
The Tutor uses the current topic or subtopic, available course content and sources, applied updates, and relevant learner context. Learners can ask follow-up questions and inspect cited material. Context depends on the course and available records.
Is structured practice available for every topic?
Structured practice currently supports selected AI topics, including prompt engineering, RAG basics, hallucinations, privacy, context management, AI evaluation, agent workflows, and vibe coding. Other topics can use Tutor guidance without that structured practice sequence.
Can learners control what the Tutor remembers?
Learners can review, edit, and forget saved information in Memory. Remembered preferences help shape later guidance; a one-off request need not become a lasting preference.
Can learners use voice?
Live voice is available in enabled workspaces alongside text chat. It uses the course and learner context, with visual support in the chat. Voice availability and supported behavior depend on workspace configuration.
Does completing a course prove mastery?
Course completion, practice feedback, assessment results, and skill qualification are different forms of evidence. Completion alone does not prove mastery.
Keep learning connected
Give your courses room to keep teaching.
See how reviewed updates and connected learner support could fit your learning program.
Get estimate