Course Overview
This course introduces Agentspace, 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 Agentspace capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.
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.
Course Objectives
- Apply Agentspace concepts to a case study scenario.
- Describe how Agentspace could benefit an organization.
- Explore how AI 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.
Outline: Introduction to Google Agentspace (IGA)
Module 1 - 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 2 - 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 3 - 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 3 - 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 4 - Google Agentspace: Technical elements
Topics
- Agentspace technical components
Objectives
- List the key technical elements of Agentspace.
- Describe Agentspace technical elements workflow.
Activities
- Quiz
Module 5 - 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