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.