Google CloudGCP100GEMINIENT

Introduction to Google Agentspace

Get started with Google Agentspace: AI, LLMs, and Google Cloud security to enhance enterprise search and secure data access.

Version : C-AGTSPI-B-1.0
0.5 day / 3h
Download program
Overview
Outcomes
Audience
Prerequisites
Course outline

Course overview

This course introduces Agentspace, a powerful platform that brings together Al agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.
Through real-world examples, learners will be able to connect Agentspace capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.

Learning outcomes

  • Apply Agentspace concepts to a case study scenario.
  • Describe how Agentspace could benefit an organization.
  • Explore how Al agents, large language models (s), and other key components of Agentspace work together to enable discovery and insight.
  • Explain how Agentspace supports secure, role-based access to data while aligning with Google Cloud security best practices.

Target audience

  • 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 Al agents and LLMs for enterprise search and collaboration. Anyone interested in understanding secure, role-based access to enterprise data using Google Cloud tools

Prerequisites

  • An interest in improving data discovery, access, and collaboration across teams.
  • Some experience with cloud platforms like Google Cloud is recommended.

Course Outline

Module 01: Google Agentspace overview

Topics

  • Google Agentspace

Objectives

  • Describe the overall purpose of Google Agentspace.
  • List the key user interface features of the Google Agentspace homepage.
  • Describe the key functions available in Agentspace.

Activities

  • Demo: Instructor Agentspace demo.
    Quiz.

Module 02: Why Agentspace: A practical use case

Topics

  • A practical Google Agentspace use case

Objectives

  • List data silo and fragmentation pain points at Cymbal Food.
  • Describe contributing factors to Cymbal Food’s pain points.
  • Identify data silo and fragmentation pain points and its contributing factors at your own organization.

Activities

  • Class activity: Examine data silo painpoints

Module 03: Google Agentspace and Google Cloud security

Topics

  • How Agentspace handles data access and privacy

Objectives

  • Describe the key benefits of Google Cloud security.
  • Define what security authentication and authorization mean.
  • List the data access and privacy security features of Agentspace.
  • Describe an example of how Agentspace provides data access for specific roles.

Activities

  • Quiz

Module 04: Google Agentspace: Technical elements

Topics

  • Agentspace technical components

Objectives

  • List the key technical elements of Agentspace.
  • Describe Agentspace technical elements workflow.

Activities

  • Quiz

Module 05: Course summary

Topics

  • Summarize key topics

Objectives

  • Use Agentspace.
  • Describe how security works between Agentspace and Google Cloud security.
  • List examples of how Agentspace is used by different role profiles.
  • Explain how Agentspace technical elements work to produce an output

Our training sessions

Place of training :
Dates
01/12/25 Distance Register
05/12/25 Distance Register

Ce cours vous intéresse ?

Place of training :
Dates
01/12/25
Distance Register
05/12/25
Distance Register
1
Inter : 700 € HT / user

Funding assistance

Organiser une session de Groupe
Demandez un devis
Organize a dedicated session
for your organization
Request a quote
Does your company need a personalized
offer? Contact us