Introduction to Google Agentspace
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Learning Track
Generative AI
Delivery methods
On-Site, Virtual
Duration
1/2 day
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.
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.
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 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 outline
- 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.
- 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.
- 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.
- List the key technical elements of Agentspace.
- Describe Agentspace technical elements workflow.
- 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
