Build a BigQuery AI Agent with ADK & Cloud Run // TRAIN BRAIN

Build a BigQuery AI Agent with ADK & Cloud Run

In this video, Mazlum Tosun walks Martin Omander through building and deploying an AI data agent. Watch along as the team takes a BigQuery database (the company's data goldmine) and open it for plain English questions, using Agent Development Kit (ADK) and Model Context Protocol (MCP).
*Why do this?*
Instead of writing endless custom SQL queries or building static dashboards every time a business stakeholder needs an update, this architecture allows non-technical team members to query data using plain natural language. Business teams get instant answers, and developers get out of the dashboard-maintenance loop.
Resource links:
* High-level project summary → https://goo.gle/3TbsDPbj
* Step-by-step blog post → https://goo.gle/4fu9mj9
* Code for this episode → https://goo.gle/4pB24yJ
Watch more Serverless Expeditions → https://goo.gle/ServerlessExpeditions
? Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#ServerlessExpeditions #GoogleCloud
Speakers: Martin Omander, Mazlum Tosun
Products Mentioned: BigQuery, Agent Development Kit, Cloud Run

Google Cloud Tech

Helping you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning....

Build a BigQuery AI Agent with ADK & Cloud Run

AI builder essentials: Tokens, Context Windows, RAG 101

Learn Google's strategy to ship AI prototypes faster

How to find & fix code vulnerabilities autonomously with Google CodeMender

Network Security Integration with Check Point - Demo

Emergent: How Google engineers actually ship AI (official trailer)

Give your app search superpowers: Agent Retrieval (Vector Search 2.0)

What is an Agentic Harness?

Context engineering explained: What every AI developer should know

Is your Kubernetes certification still worth it? | The Agent Factory

Automate your entire SDLC with Google Antigravity

BigQuery Agent Analytics Looker

What is the biggest AI agent controversy today? ?

Agile developers: shifting down with agentic skills

20 minutes to 2 minutes: How Home Depot automated incident responses with OpenTelemetry

Is it possible to fix K8s degradation in one click with Gemini Cloud Assist?

Architecture for running agents in production

Building an MCP-powered autonomous incident response ecosystem

How BBVA manages 1,000+ GCP projects

Inside Google’s new AI hardware

How to deploy an AI agent to Cloud Run (step by step)

Debugging an AI agent like a football match ⚽

Intent-driven development with Claude Code & Fable 5

Make AI agent execute 80% faster ⏱️?

MCP vs API: The protocol every developer needs to know

Breaking silos with agentic AI: How Google Cloud transforms enterprise data into real-time action

Build your first Android app in AI Studio in 5 minutes

Build a multi-agent system using ADK & MCP

Build a full stack app with Antigravity voice prompts & sub-agents

Building a dynamic personal site with Antigravity and Gemma 4

Build a multi-agent system: A2A & Agent Registry

Automating workflows and file organization with Antigravity

5 things every AI agent harness needs

What's new with data agents

Power intelligent agents with AI-native databases

Boost AI context with hybrid search in Spanner

Agent development and AgentOps with BigQuery, ADK, and MCP

Build connected AI: Orchestrate tools and agents with registries and ADK

What's new with Gemini from Google DeepMind

Building an AI app: A low-code guide for small teams

What's new in Looker: Empowering business users in the governed agentic era

NoSQL for modern apps and AI: The future of Memorystore, Firestore, and Bigtable

Implementing DeepMind innovation: Deep research API

What's new in Cloud Run

What's new in Cloud SQL: Drive performance, high availability, and security

What's new in Google Cloud's agent platform

What's new for AI on GKE: Training, serving, and agents

Engineering the future of Kubernetes for AI at scale

From prototype to production: 45 minutes to a reliable Gemini Enterprise Agent Platform agent

5 agent patterns to master

How Model Context Protocol (MCP) actually works

Stop extracting data: Run serverless Python natively in BigQuery!

Converting T-SQL code to PL/pgSQL with confidence

Google’s new AI agent stack from I/O 2026

Bring Gemini’s intelligence to AlloyDB using AI functions

How I used Google's agentic stack to build a game

Governed agents: Looker + MCP explained

3 patterns to build long-running AI agents

7 tips for using Antigravity 2.0 on enterprise codebases, coding phase

How to build an AI Agent and MCP Server (step-by-step)

How to build a custom vision agent

Converting SQL Server types and rules to PostgreSQL

Building long-running AI agents with ADK

Building with ADK & A2A: How multi-agent collaboration designs a game

How to build reliable software with AI agents

The magic behind GenLatte: Flutter, Firebase, and Gemini

Converting SQL Server code to PostgreSQL

Your first agent configuration with MCP and Looker

1,000 AI agents, 0 LLM calls?

Build a calendar app in AI Studio in 6 minutes

What are AI agents?

Build an app from your phone in AI Studio

Intro to multi-agent systems with ADK

Inside Google Antigravity 2.0: The complete developer guide | The Agent Factory

How to design a multi-agent system that skips the LLM

What’s going on with Developers and AI?

5 tips for using Antigravity 2.0 on enterprise codebases, planning phase

Automate M365 to Google Workspace Migrations with ADK multi-agents

Converting Oracle data types to PostgreSQL

Automate SAP order-to-cash with multi-agent AI & Google Agent Development Kit (ADK)