GOOGLE GEMINI ENTERPRISE — TRACK 4 / 5
Get Productive on Gemini Enterprise — Every App, Every Day
COMING SOON
The end-user track. Gmail, Docs, Sheets, Slides, Meet, NotebookLM, and cross-app workflows. Plus the field-tested adoption playbook that drives 85% license activation within 90 days — the metric the inbound EDU client wants to hit.
Google Cloud Premier Partner
The Workshop
End-User & Workspace Adoption for Gemini Enterprise
Built for everyone on a Gemini Enterprise licence — employees, knowledge workers, faculty, students. Master the app-by-app workflows that drive daily usage, plus the multi-app productivity plays that compound impact. Workshop facilitators leave with an adoption playbook calibrated for the 85%-activation-in-90-days target.
- Use Gemini fluently in Gmail, Docs, Sheets, Slides, and Meet
- Run NotebookLM as a personal research and synthesis tool
- Apply the 'good prompt' anatomy across daily work
- Run multi-app productivity workflows (Research → Brief; Meeting prep; Email → Action; Data → Story)
- Identify when NOT to use Gemini (privacy, regulatory, real-time data)
- Run a Discovery Workshop to drive activation across your team
THE CURRICULUM
What You Will Master
Ten modules — Workspace app-by-app plus multi-app productivity flows and the adoption playbook.
GEN AI FOR EVERYDAY WORK
25 MINDefine generative AI — prompts, models, limitations. Workspace-with-Gemini feature overview. Where Gemini Enterprise differs from Workspace-with-Gemini. Responsible-use principles — bias, hallucination awareness, accuracy.
GEMINI IN GMAIL
30 MINUse Gemini to draft a new email. Refine and rewrite an existing draft. Summarise long email threads. Smart reply patterns.
GEMINI IN GOOGLE DOCS
30 MINGenerate written content from prompts. Refine content — tone, length, style. Proofread for spelling, grammar, style, word choice. Document outline and synthesis patterns.
GEMINI IN SHEETS
25 MINProject plans and tracker templates. Formula assistance and explanation. Data classification with 'help me organise' prompts.
GEMINI IN SLIDES
25 MINGenerate images directly in a presentation. Add style and treatment to AI-generated images. Speaker-notes assistance.
GEMINI IN MEET
20 MINGenerate meeting backgrounds and images. AI-generated meeting summaries. The 'Take notes for me' workflow.
NOTEBOOKLM FOR THE KNOWLEDGE WORKER
45 MINCurated-corpus analysis — feeding sources into a notebook. Source citations and traceable answers. Audio overview generation. Briefing docs and FAQs from sources. Grounding for accurate language-model responses (RAG behaviour). Gems for repeated workflow templates.
DAILY-USE PATTERNS & SAFE PROMPTING
30 MINThe 'good prompt' anatomy — context + task + constraints + examples. Behaviour differences between Workspace-with-Gemini and Gemini Enterprise. Privacy boundaries — what GE sees vs what it doesn't. When NOT to use Gemini (regulatory, deeply private, real-time data). Personal Gems library for recurring workflows.
CROSS-APP PRODUCTIVITY WORKFLOWS
60 MINResearch → Brief workflow (NotebookLM → Doc outline → Slides). Meeting prep workflow (Calendar agenda → Doc synthesis → Slides update). Email → Action workflow (Gmail thread → Doc draft → Calendar invite). Data → Story workflow (Sheet analysis → Doc narrative → Slides visualisation). Side-panel Gemini vs full Gemini Enterprise. Quick-win plays for the first 30 days post-rollout.
ADOPTION PLAYBOOK FOR FACILITATORS
45 MINDiscovery Workshop format — 4–10 sessions, 60–90 min each, per persona. Persona-based agendas (Admin staff, Faculty, EdTech, Students, Knowledge workers). Activation tracking — 85% target within 90 days, weekly checkpoints. Champions / power-user identification. Office-hours pattern + content kit (decks, cheat sheets, recordings). Communications cadence and exec sponsorship rituals.
Your Instructors
Prem Kumar
AI Architecture Expert
"Anyone can build an AI demo. I teach you how to build the architecture behind systems that scale, because the gap between prototype and production is where most teams get stuck."
Specialty
Clients: Broadcom, Oracle
Himal Rajan
Full Stack & AI Developer
"From React frontends to Python AI backends, I've spent my career building full-stack systems that actually ship, RAG pipelines, autonomous agents, and production APIs that handle real traffic. At RocketOne, I teach you the exact engineering decisions that turn an AI prototype into a system your users can depend on."
Specialty
Naveen Kumar
AI/ML Engineer
"I've built AI systems across Zoho, Virtusa, and now SquareShift, from machine learning pipelines to generative AI applications. At RocketOne, I teach you the practical skills to build AI-powered solutions that work in the real world, not just in notebooks."
Specialty