Google Gemini: Mastery

Duration This course is 2 hours of live instruction, plus 90 minutes of supplemental on-demand, self-study material to provide additional depth, configuration details, and optional advanced features.

1 DayLive Online & In-CenterInstructor-led since 1983Course Code: F1GGM1

Course overview

Duration This course is 2 hours of live instruction, plus 90 minutes of supplemental on-demand, self-study material to provide additional depth, configuration details, and optional advanced features. The self-study, on-demand content is not required for successful participation in the live, instructor-led session. This Google Gemini Mastery training course builds on the foundational skills taught in ` Google Gemini Essentials and focuses on using Gemini to design advanced workflows, automate repetitive tasks, and support collaborative, team-based work in Google Workspace. In this course, learners move beyond individual prompts and features to intentionally orchestrate Gemini across apps and processes. _ The live session emphasizes judgment, workflow design, and real-world application, while advanced configuration options, specialized tools, and governance considerations are reinforced through on-demand modules.

Prerequisites

Learners should have completed Google Gemini Essentials or have equivalent experience using Gemini within Google Workspace to draft content, summarize information, and interact confidently with AI-assisted features. _ Comfort working across multiple Workspace apps and shared documents is strongly recommended. Who This Class Is For This class is designed for learners who want to use Gemini beyond basic assistance, including: • Knowledge workers supporting teams or departments • Managers and team leads streamlining communication and collaboration • Operations, HR, sales, and enablement professionals • Power users seeking to automate repetitive Workspace tasks • Anyone responsible for scaling AI use across a team What You Will Learn By the end of this class, you will be able to: • Design intentional Gemini-powered workflows across Workspace apps • Use Gemini to support more complex writing, analysis, and collaboration tasks • Automate repetitive processes using Workspace Flows • Leverage Gemini in meetings, video creation, and shared work • Create and use custom AI helpers with Gems • Integrate Gemini with NotebookLM for research and synthesis • Establish responsible, scalable patterns for team adoption • Know when Gemini is and is not the right tool for a task

Course outline

Thinking in Workflows, Not Individual Prompts How advanced users approach Gemini differently Identifying repeatable tasks and automation opportunities Designing workflows that span Gmail, Docs, Sheets, and Slides Knowing when to automate versus when to assist Managing scale, consistency, and quality across teams * Advanced Use of Gemini in Core Workspace Apps Personalized drafting and smart replies in Gmail Using Gemini for data analysis, summaries, and formula support in Sheets Creating and refining visual and written content in Docs and Slides Collaborative editing and feedback enhanced by Gemini Troubleshooting accuracy and alignment in complex outputs * Automating Work with Workspace Flows What Workspace Flows are and how Gemini powers them Designing no-code automations for common business processes Building workflows for email triage, document handling, and approvals Using Gemini-generated content inside automated flows Evaluating and refining workflow performance * Using Gemini in Meetings and Media Real-time translation, transcription, and summarization in Google Meet Capturing action items and follow-ups automatically Creating videos with Google Vids using Gemini-assisted scripts and narration Deciding when audio or video outputs add value * Extending Gemini with NotebookLM and Gems Using NotebookLM alongside Gemini for deeper research and synthesis Building project-specific notebooks for ongoing work * Creating Gems as reusable, personalized AI assistants Sharing and reusing Gems across teams Use cases for writing support, reviews, analysis, and enablement Governance, Responsibility, and Scale Establishing team norms for AI-assisted work Understanding data controls, privacy, and compliance considerations * Managing feature availability across users and roles * Ethical considerations for AI-supported decision-making Knowing when Gemini is not the right solution Designing a Repeatable Advanced Gemini Workflow End-to-end example: from manual process to AI-assisted workflow Combining Gemini, Flows, Gems, and Workspace apps intentionally Planning next steps for team or organizational adoption Additional On-Demand Content This course includes approximately 90 minutes of supplemental on-demand self-study material. Topics covered exclusively in the on-demand content are marked with an asterisk (*). These materials provide additional depth, configuration details, and optional advanced features that are not required for successful participation in the live instructor-led session.

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