Learning materials like onboarding documents and workshops quickly become outdated because they are treated as static documents rather than living products.
By treating learning materials as products with versions, pipelines, and releases, you can ensure they remain current and relevant for the target audience.
Learning Ops applies principles from DevOps and MLOps, such as CI/CD, versioning, and drift detection, to the creation of educational content.
Knowledge drift occurs when the concepts, tools, or examples in a tutorial become obsolete due to external changes, requiring a content update.
The Learning Ops cycle involves planning, authoring in Git, building, deploying, and observing for drift to trigger new versions of the content.
A Learning Ops system uses a Git repository, templates, and context libraries to create a growing shelf of reusable content blocks for various outputs.
A single source of truth for a GenAI course can be tailored for different industries like banking and manufacturing by swapping context profiles.
Begin by moving content to Git, adding linting and tests, automating builds, and following the four principles of authoring once and patching instead of rewriting.
Jobs that call for the skills explored in this talk.