OneRange

Gemini: Core — Google Workspace

This course goes deep on Gemini across Google Workspace. Learners use Gemini in Docs, Sheets, and Slides, in Gmail and Meet, and apply NotebookLM and Deep Research for grounded answers. The outcome is meaningfully faster, AI-assisted Workspace workflows.

What this course covers

The course runs across 11 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Introduction to Gemini Advanced and Grounding in Workspace — Understand the core capabilities of Gemini Advanced, how it integrates into Google Workspace, and the fundamental concept of grounding AI responses in reliable source data.
  • Hands-on Document Creation and Editing in Google Docs — Practice using the 'Help me write' feature in Google Docs to draft blog posts, summarize long articles, rewrite existing text for tone, and format content directly in the document editor.
  • Data Analysis and Formula Generation in Google Sheets — Perform hands-on tasks in Sheets to generate complex formulas, organize raw datasets, create custom tables, and analyze trends using conversational prompts.
  • Visual Storytelling and Slide Generation in Google Slides — Learn to generate custom presentations, draft slide outlines, and create tailored AI imagery directly within Google Slides to build compelling visual narratives.
  • Email Efficiency and Thread Summarization in Gmail — Draft context-aware replies, summarize lengthy email threads, and manage your inbox faster using Gemini in Gmail.
  • Optimizing Meeting Collaboration with Gemini in Google Meet — Explore real-time translation, automated note-taking, and generating meeting briefs using Gemini integration during voice and video calls.
  • Setting Up and Navigating NotebookLM — Build a personalized AI research assistant by uploading Google Docs, PDFs, and links into NotebookLM to generate grounded, source-cited insights.
  • Synthesizing Complex Sources and Audio Overviews in NotebookLM — Create study guides, briefing documents, and interactive Audio Overviews (AI-generated podcasts) based strictly on your uploaded source documents.
  • Executing Multi-Step Queries with Deep Research — Leverage Gemini's Deep Research capabilities to perform exhaustive, multi-step web research on complex topics, complete with inline citations and synthesized summaries.
  • Advanced Prompting and Grounding Techniques — Master advanced prompting strategies to ground Gemini's outputs in specific files, ensuring factual accuracy and eliminating hallucinated information.
  • Designing End-to-End Workspace Workflows — Synthesize everything learned by executing a complete workflow: research a topic with Deep Research, compile in NotebookLM, draft in Docs, analyze in Sheets, and present in Slides.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Workspace-heavy teams. The material is pitched at intermediate level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: Gemini track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

Related

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-GEM-201.