Live, role-specific Gemini training for Google Workspace enterprises — from side-panel fluency in Gmail, Docs, and Sheets to NotebookLM research workflows and Gems, measured seat by seat.
The highest-leverage Gemini skill is side-panel fluency inside Gmail, Docs, and Sheets — usage embedded in existing workflows compounds; standalone chat usage stalls. Our curriculum is built around that finding.
Sales trains on inbox and pipeline workflows, analysts on Sheets and research synthesis, operations on documentation — every function practices on its own tasks.
Advanced tracks cover custom Gems, NotebookLM-grounded research, and workflow automation, graduating power users from assisted work to composed AI workflows.
organization-wide active Gemini adoption achieved on our own workforce running this exact playbook — with embedded side-panel usage up over 340% during the push
the adoption finding behind our curriculum: many employees using Gemini inside daily Workspace tasks outperforms a few power users in standalone chat
saved per employee per day on average after completing our programs, with 20–40% workflow-efficiency gains starting in week one
Baseline skills and usage against deployed seats, verify technical readiness and licenses, align executives, and identify the first use cases.
Expert-led, hands-on cohorts tailored to role and industry — delivered inside the tools and policies your teams already work with.
Every participant builds a real workflow or agent, coached by our experts and showcased to leadership — production artifacts, not certificates.
Manager cascades, internal competitions, and pre/post measurement convert the proving cohort into an organization-wide academy.
1,200+ AI and data domain experts drawn from institutions like Harvard, MIT, Stanford, Google, and Microsoft — fielded per engagement and matched to your industry, roles, and technology stack, tool-agnostic across ChatGPT, Copilot, Gemini, Claude, and custom in-house models.
Lead instructors run live, cohort-based sessions of 30 to 300 learners — from 3-week executive intensives to 4-month enablement tracks — while embedded AI coaches provide function-specific coaching and capstone review, producing time savings from week one.
Our advanced-manufacturing engagements surfaced why AI adoption stalls: teams lack workflow decomposition, systems thinking, and process engineering. We teach these pre-enabling skills alongside the tools — the difference between issuing licenses and redesigning work.
Skills baselines before training, pre/post deltas after, usage coverage against deployed seats, and capstone ROI review — the instrumentation discipline behind $1B+ in documented client productivity gains.
| Tier | What teams learn |
|---|---|
| Gemini 101 — Workspace fluency | Side-panel mastery in Gmail, Docs, Sheets, and Slides; prompting fundamentals; safe and responsible use under your Workspace policies; the daily habits that compound. |
| Gemini 201 — Role-based application | Function-specific workflows: inbox and communication automation, analysis in Sheets, research and drafting in Docs, meeting intelligence — practiced on your real work. |
| Gemini 301 — Gems, NotebookLM & automation | Custom Gems, NotebookLM-grounded research assistants, and cross-app workflow design; capstone projects reviewed by expert AI coaches and showcased to leadership. |
Production artifacts, not exercises. Recent advanced cohorts have shipped:
Answers to what enterprise teams ask before rolling out Gemini training.
Get your organization's AI Maturity score in minutes, with a personalized roadmap — free. Ready to go further? Enterprise programs are typically scoped for cohorts of 50+ learners.