LinkedIn Learning
by LinkedIn
Learning assets in LinkedIn Learning are tagged with skills and subjects, and the activity reports record which learners viewed or finished each course and for how long. Each seat is a paid license, so L&D teams want to know who actually uses theirs. In a Lake beside HRIS roles and review results, viewing time becomes a measure of skill building per team.
- Category
- HR & People
- Type
- Corporate learning
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- Learning assets
- Learner activity
- Classifications
- Reports
Join LinkedIn Learning learning assets with finance and operations for headcount, cost and capacity views in one place.
Need more? Name any other LinkedIn Learning data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
LinkedIn Learning uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in LinkedIn if you need help.
04Questions
Questions you can answer.
Once LinkedIn Learning data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- What share of licensed learners watched any content in the last 90 days?
- Which skills and subjects does each department spend its viewing hours on?
- Which assigned courses have low completion rates after 30 days?
- Do employees who complete leadership courses get promoted sooner?
05How it works
How it works in DataMind.
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Pick LinkedIn Learning.
Open Lake, pick LinkedIn Learning in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the LinkedIn Learning API docs.
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Answer a few questions.
The AI reads the LinkedIn Learning documentation, then asks which credentials you will use, which data to sync (for example learning assets and learner activity), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then LinkedIn Learning data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with LinkedIn Learning.
Sources teams join with LinkedIn Learning in the Warehouse, each one connected the same way.
