🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
GCP200GEMTOOLS

Gemini Enterprise Tools Workshop

The Gemini Enterprise Tools Workshop is designed to equip you with the advanced skills necessary to maximize the full suite of Gemini's built-in tools. Using a realistic case study, participants will learn how to seamlessly integrate web search, manage contextual files, and conduct comprehensive deep research. This course is a fast-paced, 90% hands-on and demo session, structured around a set of practical use cases called "Plays." You will learn how to use advanced prompt engineering techniques and built-in Gemini tools to synthesize complex information and drive data-backed decisions.

Google Cloud
✓ Official training Google CloudLevel Intermediate⏱️ 0.5 day (4h)

What you will learn

  • Utilize Gemini tools, including Google Search and Image Generation, to rapidly gather and visualize information.
  • Engineer prompts using role, context, chain-of-thought, and specific output formatting.
  • Incorporate various file types from multiple sources to provide a rich, grounded context for AI analysis.
  • Execute comprehensive Deep Research to investigate company backgrounds, founders, and market viability.
  • Leverage meta-prompting techniques to optimize and refine Deep Research queries.

Prerequisites

  • A basic understanding of generative AI and Gemini.

Target audience

  • Professionals and analysts who want to master Gemini Enterprise's built-in tools, advanced prompt engineering, and deep research capabilities.

Training Program

8 modules to master the fundamentals

Objectives
  • Construct basic image generation prompts using Gemini built-in tools
  • Modify and refine generated visual elements through iterative prompting
Topics covered
  • →Explore creative possibilities using the Generate Images tool
  • →Apply basic commands for image refinement
Objectives
  • Execute live web investigations using the integrated Google Search tool
  • Cross-reference AI responses against verified real-time web citations
  • Distinguish between grounded factual claims and ungrounded model generations
Topics covered
  • →Investigate a specific topic using the integrated Google Search tool
  • →Gather and verify real-time data and information
  • →Differentiate between grounded and non-grounded responses
Objectives
  • Develop interactive application components inside the Gemini Canvas workspace
  • Optimize code and layout iteratively using inline conversational prompts
  • Implement dynamic AI capabilities within single-file Canvas projects
Topics covered
  • →Create and edit interactive content using the Canvas tool
  • →Refine and iterate on content through focused conversational prompting
  • →Utilize Canvas for dynamic generative AI use cases
Objectives
  • Formulate role-based prompts using specialized persona definitions
  • Construct multi-step instructions incorporating chain-of-thought reasoning
  • Enforce structured output formats including markdown tables, lists, and summaries
Topics covered
  • →Structure effective prompts using persona and role
  • →Incorporate context and chain-of-thought steps for complex tasks
  • →Define specific output formats (eg: table, list, summary)
Objectives
  • Ingest diverse documents and spreadsheets to establish a unified grounding context
  • Synthesize answers from cross-referenced internal corporate documents
  • Verify AI factual accuracy by auditing source document citations
Topics covered
  • →Add and manage files of various types (Docs, Sheets, PDFs)
  • →Ground Gemini's responses in specific documentation from multiple sources
  • →Analyze files to ensure the AI's response is factual and contextually rich
Objectives
  • Execute automated deep research workflows on complex corporate intelligence targets
  • Synthesize profiles on executive leadership teams and key stakeholders
  • Assess market viability and strategic risk factors using deep research findings
Topics covered
  • →Conduct a thorough, multi-step investigation into a target company's background
  • →Investigate key stakeholders, such as founders and executive teams
  • →Evaluate overall market viability and potential risks before investment
Objectives
  • Generate optimized deep research queries utilizing meta-prompting strategies
  • Evaluate and refine prompt formulations to maximize research relevance
  • Iterate on search strategies to narrow complex investigative scopes
Topics covered
  • →Use Gemini to brainstorm and formulate advanced Deep Research queries
  • →Optimize prompts to yield the highest-quality, most relevant results
  • →Apply iterative meta-prompting to refine research goals
Objectives
  • Formulate an independent workflow solution for a custom enterprise challenge
  • Select optimal Gemini Enterprise tools based on problem constraints
  • Execute end-to-end prompt engineering and grounding workflows on private data
Topics covered
  • →Identify a real work challenge suited to Gemini Enterprise tools
  • →Choose the right capability for the job
  • →Apply the prompt engineering habits and tool workflows from this course to your own content

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Upcoming sessions

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Case Study — Analysis of a real or fictional business scenario to derive solutions.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

Professionals and analysts who want to master Gemini Enterprise's built-in tools, advanced prompt engineering and deep research capabilities.
It is Gemini's multi-step research capability. In the workshop you use it to investigate a company background, its founders and its market viability, then apply meta-prompting to sharpen the investigation.
You will be able to use Gemini's tools to gather and visualize information, engineer prompts with role, context, chain-of-thought and output formatting, bring in files from several sources as grounded context, and run a full Deep Research investigation.
Yes. The whole workshop runs on a realistic case study, so each tool is practiced in a context rather than in isolation.
Four hours, instructor-led by SFEIR Institute, run as a sequence of hands-on plays including vibe coding with Gemini Canvas.
Yes. This is an official Google Cloud course delivered by SFEIR Institute, a certified Google Cloud Training Partner and Google Cloud Training Partner of the Year 2025.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities. Contact us for a quote.

790€ excl. VAT

per learner

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