Meet us in Stockholm and see where the cloud can take you.

Discover new ideas. Learn from industry experts. Engage with your peers. Join us for an immersive event that brings executives, partners, developers, and Google engineers together to build the future of the cloud. Get inspired and 10x your innovation with a huge variety of sessions about Google Cloud to choose from.

  • November 13, 2018
  • Kistamässan, Arne Beurlings Torg 5, 164 40 Kista
Summit

Explore a variety of topics

Tailor your day to your interests and focus areas. Pick from multiple strategic, technical, and experiential sessions about all things cloud, including:

View agenda

Modernize your infrastructure

Create intelligence from data

Accelerate application development

Transform how teams work

Tools for specific business needs

What else youʼll discover

Join us at Google Cloud Summit Stockholm and be a part of what’s next for the cloud. Activities will take place at Kistamässan.

Engage with our expert partners.

Meet our partners and discover the tailored enterprise solutions they are developing to enable your digital transformation.

Go deep on machine learning.

Learn how to efficiently process volumes of data to build smarter products, drive productivity, and reduce costs.

Explore the latest technology.

Immerse yourself and get hands on with the latest Cloud technology solutions and partner offerings throughout our demo zones.

Eat, drink, and connect.

Network with other like-minded industry colleagues, partners, and Googlers throughout the event.

Bootcamp

Advanced your cloud skills

Build your practical skills and theoretical knowledge at a full day training bootcamp, a technical Google Cloud course led by an expert instructor.

Kubernetes Kickstart

At this bootcamp, get started with Kubernetes and learn how to containerize workloads and deploy them to Google Kubernetes Engine clusters.

Serverless Machine Learning

During this bootcamp, you will master serverless machine learning (ML) and Tensorflow concepts, build scalable ML models, and employ ML APIs.