Google Gemini Workshop

Google Gemini is a multimodal AI developed by Google that understands text, images, audio, and video simultaneously, not as separate inputs, but as unified context. Built natively into Google Workspace, Gemini processes an image of your receipt AND the receipt text AND your budget guidelines in one prompt, delivering nuanced insights at enterprise scale. With up to 1 million tokens of context, Gemini can analyze 2-hour videos, multi-hundred-page documents, or 6 hours of audio in a single request.

Multimodal Prompting is how you communicate with Gemini, but it goes beyond text. You submit a combination of text + images + audio + video in a single conversation, and Gemini processes all modalities together to deliver context-rich responses.

The power shift: Instead of crafting perfect text prompts, you now provide context through multiple channels simultaneously. Gemini synthesizes these together, dramatically reducing the “art” of prompting because the AI understands the full picture, not just your words.​

Prompting in Gemini is visual + conversational + contextual. Learn the art of multimodal prompting in our workshop, techniques that work across Gmail, Docs, Sheets and your real workflows.

Using Gemini doesn’t directly pose a risk, but when using Gemini in Google Workspace it’s important to understand your organization’s data protection framework. Unlike cloud-based competitors, Gemini data stays within your Workspace domain and is protected by enterprise-grade controls.

Gemini has a diverse range of use cases, with the unique advantage of multimodal processing across text, images, video, and audio simultaneously. Common use cases include:

Workspace-native applications:

• Email intelligence

• Document analysis

• Meeting summaries

• Content generation

• Data analysis

Multimodal prompt engineering refers to the practice of optimizing prompts in Gemini by combining text, images, audio, and video inputs to get more accurate, contextual, and nuanced responses.

Rather than just “prompt optimization,” multimodal engineering involves:

• Selecting the right modalities

• Layering context

• Grounding responses

• Multimodal chains

As part of our Gemini workshop, we assist your organization in implementing Gemini across Google Workspace systematically and securely.

Workshop activities include:

• Workspace audit: Identify your current pain points (manual document review, repetitive email drafting, meeting overload, data extraction bottlenecks)

• Multimodal opportunity mapping: Brainstorm workflows where combining images + text + video + audio unlocks new efficiency (e.g., “Can we analyze customer video calls + extract sentiment + link to support tickets?”)

• Role-based use case design: Customize Gemini applications for different teams—finance teams use document + image analysis, sales uses email + CRM data, HR uses video meeting analysis

• Data governance planning: Define which sensitive datasets should be restricted from Gemini access using IRM policies

For advanced teams: If your organization already uses Gemini, our Gemini Masterclass explores advanced multimodal architectures, API integration, and enterprise automation.

Post-workshop support: We assist in developing a Gemini adoption roadmap including phased rollout, team enablement schedules, security controls, and integration with your data governance policies through our AI strategy development services.

We offer Gemini workshops and training sessions across multiple locations in Europe and the United States. Our flexible delivery options include:

• In-person workshops at your company location

• External venue sessions

• Training at our dedicated facilities

• Live online workshops