Introduction to Gemini Enterprise
This course introduces Gemini Enterprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges. Through real-world examples, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.
Ce que vous allez apprendre
- Apply Gemini Enterprise concepts to a case study scenario.
- Describe how Gemini Enterprise could benefit an organization.
- Explore how AI agents, large language models (s), and other key components of Gemini Enterprise work together to enable discovery and insight.
- Explain how Gemini Enterprise supports secure, role-based access to data while aligning with Google Cloud security best practices.
Prérequis
- An interest in improving data discovery, access, and collaboration across teams.
- Some experience with cloud platforms like Google Cloud is recommended.
Public cible
- Business professionals and decision-makers seeking to improve data discovery and access., IT and data professionals looking to streamline organizational knowledge and reduce data silos., Teams exploring how to implement AI agents and LLMs for enterprise search and collaboration., Anyone interested in understanding secure, role-based access to enterprise data using Google Cloud tools.
Programme de la Formation
5 modules pour maîtriser les fondamentaux
Objectifs
- Describe the overall purpose of Gemini Enterprise.
- List the key user interface features of the Gemini Enterprise homepage.
- Describe the key functions available in Gemini Enterprise.
Sujets abordés
- →Gemini Enterprise
Activités
Demo: Instructor Gemini Enterprise demo
Quiz
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
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
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.
Prochaines sessions
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Nous organisons régulièrement de nouvelles sessions. Contactez-nous pour connaître les prochaines dates disponibles ou pour organiser une session à la date de votre choix.
S'inscrire à une date personnaliséeFormer plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance