Workshop

The New Age of Data Science: Working with Google Data Agent Kit

Aish & Arvind

AI Founders & Engineers

Jeff Nelson

Developer Advocate at Google Cloud

Data analytics in the age of AI

Built in partnership with the Gen Academy and Google.

An exclusive, invite-only workshop for data analysts and data scientists. Applications required. Limited to 200 selected participants.

Join Jeff Nelson from Google Cloud, Aishwarya, and Arvind to explore data, analyze customer reviews, and forecast demand with Google Data Agent Kit and BigQuery AI. Build a recommendation you can defend and a workflow to bring back to your own analysis.

October 30, 2026 • 9–11 a.m. PT • Live online

What you’ll learn

Build an evidence-backed recommendation with an AI agent, and explain the data, assumptions, and human judgment behind it.

  • Explore Google Data Agent Kit, managed MCP servers, and agent skills in a guided workshop environment.

  • Use your preferred coding agent to investigate a business question with live Google Cloud data.

  • Investigate store inventory and customer reviews, then explore demand forecasts with BigQuery AI.

  • Compare candidate locations for Charlie’s Coffee using evidence and explicit business assumptions.

  • Test how revenue assumptions, rent, and follow-up questions change the location ranking.

  • Compare findings with peers, identify where human judgment is needed, and continue with the open workshop repository.

Workshop agenda

  • Frame the business question

    Meet Charlie’s Coffee, review candidate market data, and make your own initial prediction about its next San Francisco location.

  • Get oriented with the agent and data tools

    Walk through Google Data Agent Kit, managed MCP servers, agent skills, and the workshop environment.

  • Investigate the data

    Explore store inventory, customer reviews, and demand forecasts. Use follow-up prompts to test what the agent finds.

  • Compare candidate locations

    Explore forecasting with BigQuery AI and examine how revenue assumptions and rent affect the recommendation.

  • Challenge and share your recommendation

    Compare participant findings, question assumptions, and identify what evidence could change the location ranking.

  • Q&A and next steps

    Discuss lessons with Jeff, Aishwarya, and Arvind, then review how to continue building with the open workshop repository.

Learn directly from Aish & Jeff

Aish & Arvind

Aish & Arvind

Contact

AI Engineers | Building & Teaching @ The Gen Academy

Jeff Nelson

Jeff Nelson

Contact

Developer Relations at Google Cloud

See all products from Aishwarya Srinivasan & Arvind Narayan

Who this workshop is for

  • Data scientists and analysts who use SQL or data analysis and want to test AI-assisted workflows on a real business question.

  • Data engineers and AI builders at startups or enterprises exploring Google Cloud, coding agents, and MCP-connected data tools.

  • Practitioners ready to complete setup and join both live hours. Basic SQL or analysis required; prior Google Cloud experience optional.

What's included

Live sessions

Learn directly from Aish & Arvind & Jeff Nelson in a real-time, interactive format.

Open workshop repository

Continue experimenting with the workshop repository after the live session.

Hands-on practice with peers

Compare your findings with other data practitioners and discuss the assumptions behind each recommendation.

Live Q&A with Jeff, Aishwarya, and Arvind

Discuss agent-driven data workflows, practical lessons, and ways to apply the approach to your own work.

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$200

USD

Oct 30
·

12–2pm EDT

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