Build AI agents that can leverage enterprise databases using the MCP Toolbox for Databases. You will define secure database interaction tools, and implement intelligent querying capabilities (leveraging vector embeddings, structured queries).
Build AI Agents with Enterprise Databases
Build AI Agents with Enterprise Databases
Instructor: Google Cloud Training
Access provided by Dnipro University of Technology
Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Securely connect AI agents to your existing databases (AlloyDB, Cloud SQL, Spanner) by using the MCP Toolbox for Databases.
Construct and utilize AI agents, using Agent Development Kit (ADK), that use database tools for intelligent querying and semantic search.
Skills you'll gain
Details to know
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Assessments
1 assignment
Taught in English
Recently updated!
November 2025
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There are 2 modules in this course
This module introduces the foundational concepts for connecting AI agents to enterprise databases. You will learn about the architecture of the MCP Toolbox for Databases and how to set up a database instance, specifically Cloud SQL or AlloyDB, for AI integration. The lessons cover deploying and configuring the toolbox, defining simple database tools, and verifying the connection.
What's included
1 assignment11 plugins
In this module, you will build a foundational AI agent using the Agent Development Kit (ADK). You will design the agent to use the database tools created in the previous module for tasks like SQL querying and semantic search. The module focuses on implementing these capabilities using AlloyDB with vector embeddings and tracing the agent's reasoning process as it interacts with the databases.
What's included
1 app item7 plugins
Instructor
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