Gemini for Google Workspace
capability building,
designed for your organisation.
A custom-built corporate programme for all knowledge workers in Google Workspace organisations — including operations, marketing, sales, HR, finance, customer support, and L&D — plus the IT and admin teams supporting Workspace-wide adoption. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- Gemini for Workspace (per-user) vs. Gemini Advanced (consumer + enterprise tier) vs. Gemini Code Assist
- Gemini in Gmail, Docs, Sheets, Slides, Meet, Drive, Forms — what each can/can't do
- Workspace data boundaries: what stays in your tenant, what's referenced
- Licensing tiers and what each unlocks
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Demonstrable skills your team will apply on live projects.
Drive Gemini in every Workspace surface deliberately
Gmail, Docs, Sheets, Slides, Meet, Drive, NotebookLM — with role-specific patterns for each.
Use Workspace context with @-mentions and Drive grounding
Reference Drive files, Gmail threads, and Calendar events directly in prompts for grounded output.
Apply role-specific prompt patterns
Sales, HR, Marketing, Operations, Finance, PM — each role has its own pattern library.
Achieve 25–40% time savings on recurring tasks
Measured pre/post on email drafting, document summarisation, deck creation, and meeting recap.
Become an internal Gemini Champion
Equipped to support colleagues, run team-level show-and-tells, and feed adoption data back to L&D.
Pass Google Workspace AI Productivity certification
Programme aligns to Google's official Gemini productivity competency framework.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Has Gemini in Workspace but uses it sporadically — uncertain when it's actually faster than the manual approach
- ·Limited prompt fluency inside Workspace apps — outputs feel templated and require significant rework
- ·Unaware of the differences between Gemini in Workspace, Gemini Advanced, and Gemini Code Assist
- ·No role-specific use-case repertoire — applies Gemini generically rather than for actual job context
- ·Unsure what's safe to put into Gemini under enterprise data policies
- ·No team-level standards — every colleague reinvents their own approach
Where they'll arrive
- ✓Daily-driver fluency across Gemini in Gmail, Docs, Sheets, Slides, Meet, and Drive
- ✓Workspace-grounded prompting — leveraging '@-mentions' and Workspace context to get business-grade output
- ✓Personal Gemini prompt library — 40+ tested role-specific prompts post-programme
- ✓Confidentiality discipline — knows what's safe, what's not, and why
- ✓Adoption leadership — equipped to evangelise Gemini in their team and run internal show-and-tells
- ✓Measurable productivity lift — typical 25–40% time saving on writing, summarisation, and analysis tasks
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
No. A Gemini Workspace licence is not mandatory to attend the course, especially for conceptual learning, prompt engineering, AI productivity, business use cases, and strategy sessions. However, for hands-on practice inside Gmail, Docs, Sheets, Slides, Meet, Drive, and NotebookLM, learners should ideally have access to a Google Workspace plan with Gemini features enabled. Google states that Workspace plans include access to the Gemini app, NotebookLM, and Gemini features across Workspace apps.