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