Course Overview:

This course provides a comprehensive introduction to Google Agentspace. 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 various roles. You will explore how AI agents, large language models (LLMs), and other key components work together to enable discovery and insight within an organization. 

After completing this course, participants will be able to:

  • Apply Agentspace concepts to a case study scenario.
  • Describe how Agentspace could benefit an organization.
  • Explore how AI agents, large language models (LLMs), 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.

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Key Features:

  • Unified AI Platform: Learn how Agentspace integrates AI agents, enterprise search, and NotebookLM to tackle complex organizational challenges. 

  • Real-World Application: Connect Agentspace capabilities to tangible business needs through practical examples and a case study scenario. 

  • Security-Focused Architecture: Understand how Agentspace ensures secure, role-based data access, aligning with Google Cloud’s robust security practices. 

  • Introductory & Accessible: Designed for a broad audience, including business professionals and IT teams, with no deep technical prerequisites. 

  • Interactive Learning: Engage with the material through five modules and five classroom activities designed to reinforce key concepts. 

  • Focus on Data Silos: Discover how Agentspace helps reduce data silos and streamline access to organizational knowledge. 

  • Exploration of Core Components: Get an overview of the key technical elements of Agentspace and understand their workflow. 

  • Role-Based Data Access Explained: See examples of how Agentspace manages data access and privacy for different user roles within an organization. 

  • Covers Key Google Products: Gain familiarity with how Agentspace interacts with products like Gemini AI, Google Search, Workspace, BigQuery, and Cloud SQL. 

  • Concise and Focused: A three-hour, instructor-led format ensures you grasp the essential concepts efficiently. 

Who should Attend?

  • 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.

Prerequisites:

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

    • Why choose CloudThat as your training partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Learning objective:

    • This course introduces learners to Google Agentspace, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.

    Course Outline: Download Course Outline

    Topics

    • Purpose and value of Google Agentspace
    • Homepage UI features
    • Key functions available in Agentspace

    Objectives

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

    Activities

    • Lecture
    • Instructor demo: Agentspace walkthrough
    • Quiz

    Topics

    • Cymbal Food case study
    • Data silo and fragmentation pain points
    • Contributing factors and root causes

    Objectives

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

    Activities

    • Lecture
    • Class activity: Examine data‑silo pain points
    • Group share‑out

    Topics

    • Key benefits of Google Cloud security
    • Authentication and authorization concepts
    • Agentspace data access and privacy features
    • Role‑based access examples

    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

    • Lecture
    • Quiz

    Topics

    • Key technical elements of Agentspace
    • Workflow of technical elements

    Objectives

    • List the key technical elements of Agentspace
    • Describe how the technical elements work together to produce outputs

    Activities

    • Lecture
    • Demo
    • Quiz

    Topics

    • Summary of key topics
    • Examples of how different roles use Agentspace
    • Security integration recap
    • Technical elements flow recap

    Objectives

    • Use Agentspace to address business needs
    • 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

    Activities

    • Review & knowledge check
    • Q&A
    • Wrap‑up and next steps

    Certification Details:

      CloudThat Course Completion Certificate

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    Course ID: 26087

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    FAQs:

    It's a platform that combines AI agents, enterprise search, NotebookLM, and intelligent data access to help organizations solve challenges related to data discovery and collaboration.

    The course is for business professionals, decision-makers, IT/data professionals, and any teams looking to reduce data silos and implement AI for enterprise search.

    he course is a three-hour, instructor-led training (ILT).

    You will learn what Agentspace is, how it can benefit an organization, how its technical components work together, and how it handles data security and role-based access.

    No, it's an introductory-level course. An interest in improving data access and some familiarity with cloud platforms are recommended, but deep technical expertise is not required.

    The course covers Agentspace Enterprise, NotebookLM Enterprise, Gemini AI, Google Search, Google Workspace, Google Cloud Storage, Google BigQuery, and Cloud SQL.

    The course explains how Agentspace supports secure, role-based access to data, aligning with Google Cloud's security best practices for authentication and authorization.

    No, the course focuses specifically on Agentspace and does not cover the broader topics of Google Cloud architecture and infrastructure.

    It is an instructor-led training that includes 5 modules and 5 classroom activities to help you apply the concepts discussed.

    It helps solve the problem of data silos and data fragmentation, where information is scattered across an organization, making it difficult to find and use effectively.

    Enquire Now