🏆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
GCPSPARKSGESERIES

Gemini Enterprise Series Training

The Gemini Enterprise Series is a comprehensive, multi-module training program designed to help business and power users effectively integrate Gemini Enterprise into their daily operations.

To accommodate varying professional roles and technical requirements, the series is structured modularly. Rather than completing a single rigid curriculum, participants can select the specific modules that align directly with their workflows and functional needs.

Through practical demonstrations and real-world application scenarios, this series covers the practical application of Gemini Enterprise, ranging from structured prompting and internal database search to the design of autonomous, no-code AI agents.

Google Cloud
✓ Official training Google CloudLevel Intermediate⏱️ 0.5 day (3h)

What you will learn

  • Prompting Strategies: Learn to construct structured, explicit prompts using natural language to improve output quality, minimize ambiguity, and reduce the need for iterative corrections.
  • Enterprise Productivity: Acquire the skills to securely query and synthesize information from internal platforms and document repositories, utilizing autonomous research capabilities to generate source-grounded, fully cited business summaries.
  • Enterprise Agents: Understand how to build custom, no-code AI assistants using natural language instructions, and learn how to orchestrate multiple specialized agents to automate complex, multi-step business processes.

Prerequisites

  • Basic Gemini Enterprise knowledge
  • Access to Gemini Enterprise

Target audience

  • General knowledge workers and business professionals aiming to transition into Gemini Enterprise power users

Training Program

7 modules to master the fundamentals

Objectives
  • Design structured prompts that produce consistent and reliable outcomes.
  • Evaluate existing prompts using a diagnostic framework to fix inconsistencies.
  • Configure reusable Gemini Enterprise skills to apply team-wide best prompts.
  • Apply constraint engineering to eliminate output drift between single-use and reliable prompts.
Topics covered
  • →The prompt framework
  • →The framework in context
  • →Advanced prompt patterns
Activities

3 x demos

4 x discussions

1 x quiz

Objectives
  • Select the right combination of sources for any given business question.
  • Construct specific, research-grade queries for accurate search results.
  • Evaluate search results using a structured triangulation method.
Topics covered
  • →Strategic search sources and depth
  • →Crafting a search query
  • →Gemini Enterprise search capabilities
  • →Evaluating results and fixing common issues
Activities

2x exercise

1x quiz

Objectives
  • Determine when to use Deep Research versus standard search based on task complexity.
  • Construct a structured research brief using five critical parameters to guide the agent.
  • Refine and redirect the agent's research plan before execution begins.
  • Verify research citations and add strategic framing to finalize the deliverable.
Topics covered
  • →Deep Research use cases
  • →Writing a Deep Research brief
  • →Reviewing the research plan
  • →Evaluating the output for final deliverable
Activities

1x demo

1x quiz

Objectives
  • Identify business use cases for skills in Gemini Enterprise
  • Create, import, and edit skills
  • Invoke skills using natural language prompts in Gemini Enterprise
Topics covered
  • →What are skills?
  • →How to create skills using natural language prompting
  • →How to use and manage skills
  • →Skills best practices and limitations
Activities

3x demos

1x quiz

Objectives
  • Define the structure, components, and purpose of a skill package.
  • Explain when to build a packaged skill versus a basic interface-level skill.
  • Construct a standardized skill.md file following prompt engineering pillars.
  • Build, package, and import a script-enabled custom skill.
Topics covered
  • →What are packaged skills?
  • →How to create and import skills
  • →Skill packages tips and limitations
Activities

2x demos

1x quiz

Objectives
  • Identify business workflows suitable for agentic automation.
  • Create single- and multi-step agents using natural language prompts to orchestrate workflows.
  • Edit and test agentic workflows within the Agent Designer interactive canvas
  • Apply prompting best practices to create agents that execute business tasks reliably, predictably, and safely.
Topics covered
  • →Introducing no-code agents on Agent Designer
  • →Creating an agent on Agent Designer
  • →Demo: Build a multi-step agent in Agent Designer
  • →Best practices for creating an agent using prompts
Activities

2x demos

1x quiz

Objectives
  • Architect multi-agent teams with clear roles and handoff protocols.
  • Select the optimal orchestration pattern: sequential, parallel, or supervisory.
  • Design autonomous long-running workflows with Inbox monitoring.
  • Evaluate when to use a multi-agent approach versus a single agent.
Topics covered
  • →Design agent teams
  • →Agent team frameworks
  • →Design agent teams (in context)
  • →Monitor and manage agent teams
  • →To team or not to team
Activities

1 x quiz

Related Trainings

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Gemini Enterprise Essentials for Business and Power Users

This course equips business professionals with essential skills for leveraging Gemini Enterprise. It covers generative AI basics, effective prompting, and using Gemini Enterprise for enterprise-wide search and assistance. The training also details Gemini Notebook's features for deep insights into proprietary documents and explains different AI agent types, including the Deep Research Agent, and examples of how to create no-code agents with Agent Designer.

0.5 d
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Strategic Integration of Gemini Enterprise Workflows

This course provides a strategic guide to integrating Gemini Enterprise for orchestrating complex business processes at scale. Participants will learn to move beyond basic chatbot interactions to architect comprehensive AI workflows that leverage Gemini Enterprise's capabilities for data-grounded intelligence and robust governance. The course bridges the gap between individual AI experimentation and full enterprise-wide AI deployment. Learners will master defining mission-critical workflows, implementing agentic AI features, and ensuring end-to-end security and auditability. This approach aims to drastically improve operational efficiency and reliability while maintaining strict standards for data privacy and compliance.

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View all trainings →

Upcoming sessions

No date suits you?

We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

Register for a custom date

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
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Group Discussion — Open exchange among peers and the instructor on a specific topic.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
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

General knowledge workers and business professionals aiming to transition into Gemini Enterprise power users.
Basic Gemini Enterprise knowledge and access to Gemini Enterprise.
Prompting strategies to build structured, explicit prompts, enterprise productivity skills to query and synthesize information from internal platforms with source-grounded, cited summaries, and enterprise agents: building custom no-code assistants and orchestrating several specialized agents to automate multi-step business processes.
Seven modules: Precision prompting, Strategic Search With Gemini Enterprise, Deep Research in Gemini Enterprise, Creating Your First Skill, Advanced Skill Building, Building Your First Agent in Gemini Enterprise Agent Designer, and Designing multi-agent workflows.
The session lasts 3 hours and is delivered in an instructor-led format by SFEIR Institute. The series is modular: participants select the modules that match their workflows. Modules combine demos, discussions, exercises and quizzes.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

395€ excl. VAT

per learner

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