Gemini training

Google's Generative AI in Google Workspace Privacy Hub covers Gemini in Workspace apps, the Gemini app and NotebookLM when used with a qualifying Workspace edition. It distinguishes those business protections from personal accounts, and Google's Docs Editors help page on Gemini and your data notes that personal-account data shared with some Gemini services may be processed under different terms.

A course written for the wrong set-up wastes the session: people look for features they do not have or use a personal account where a work one is required. We confirm the edition and which Gemini features are switched on before delivery. If the wider question is which AI tools to approve at all, an AI readiness assessment comes first.

Google's Privacy Hub states that Gemini accesses Workspace content the user has permission to access and does not access content they cannot. It also states that prompts, Workspace content and generated responses are not used to train generative AI models outside your domain without permission. The practical consequence for training is that a file shared too widely years ago can now be summarised by anyone it was shared with.

Show people how to recognise that situation and who to tell. Configuration stays with your administrator: Google provides admin controls for which Workspace services Gemini can draw on. We teach users the boundaries; AI integration services can help when sharing or permissions need rework.

Gemini features and names in Workspace change often, so date your guidance and revisit it. A few weeks after the course, ask learners to repeat one practised task on fresh material and show how they checked it. Collect recurring questions; they usually point to a missing rule or a sharing problem rather than a missing skill.

Google offers free introductory learning such as its Introduction to Generative AI path on Google Skills, useful for background between sessions. predeploy is not a Google partner and this course is not Google certification; it is practical training on your own work. For a wider rollout, see AI training programs for employees.

An illustrative programme office might turn a synthetic project update into a short stakeholder briefing. The source pack includes an unapproved milestone and an unresolved dependency, so the learner must avoid turning either into a confirmed commitment. AI training for project managers develops that role-specific review. The exercise should test what the draft leaves out, not simply whether it is shorter and sounds professional.

A useful guide names the source owner, information classification, output recipient and person who approves a consequential message. Do not treat a useful feature as permission to change those responsibilities. AI policy guidance helps structure an organisation’s allowed-use discussion. The course should show learners how to apply their existing rules to a concrete task, with specialist questions referred to the people authorised to resolve them.