Google Cloud Platform

Google Cloud CEO Thomas Kurian shares insights on how businesses are using cloud technology to build for the future and adapt to complexities, challenges, and opportunities.

In this episode of AI Adventures, Yufeng discusses some of the options available when it comes to managing your Python environment for machine learning and data science, and helps you make an

If you’re thinking about migrating to the cloud, setting up a virtual private cloud (VPC) lets you protect and isolate your instances.

What is Dataflow, and how can you use it for your data processing needs?

Scikit-learn is a well-documented and well-loved Python machine learning library.

Google Kubernetes Engine is a managed environment for deploying, scaling, and managing containerized applications in a secure Google infrastructure.

Take an in-depth look at modern data warehousing using BigQuery and how to operate your data warehouse in the cloud.

Joe Kava, VP of Google's Data Center Operations, shares details about the different levels of security that go into building a Google data center.

Recorded on Mar 24 2016 at GCP NEXT 2016 in San Francisco.

Welcome to the first episode of Anthos 101! In this video, you’ll learn exactly what Anthos is, and how it helps enterprises manage their applications.

Google has been practicing Site Reliability Engineering (SRE) since the early 2000’s but only recently began speaking about it publicly.

Checkout this architecture in our NEW Architecture Diagramming Tool → goo.gle/3GUIztk When it comes to building your organization's app in the cloud you have many options.

Cloud Run is a managed compute platform that enables you to run stateless containers that are invocable via HTTP requests on either a fully managed environment or in your own Google Kubernetes

Need to ingest and analyze data in real-time, or just need a one-time analysis for a batch of data? How you load data into BigQuery depends on your analytics needs and data pipelines.

It can take a lot of tools to do data science, but Kaggle is a one-stop shop that provides all the tools to share and collaborate on data science projects.

Wanting to modernize your older applications?

In the first episode of our Cloud for Student Developers series, Arman Hezarkhani goes over what Google Cloud is, the products Google Cloud offers, and what problems student developers have been

Try out Teachable Machine → goo.gle/3clys2J Check out this blog → goo.gle/3ovgpvH Creating an ML model seems like a complex and time-consuming task to complete, but it doesn’t have

Hear from Diane Greene, SVP of Google Cloud; Sundar Pichai, CEO of Google; Eric Schmidt, Chairman of Alphabet and Fei-Fei Li, Chief Scientist for Google Cloud Machine Learning and AI and Professor

Google Cloud Platform Partner, DoIt has a methodology called "transformation in 21 days" in which they move a customer onto GCP and provide real results in just 3 weeks.

Different applications and workloads require different storage solutions.

In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how Kubernetes resource requests and limits can help you keep your containers under control.

In this episode of AI Adventures, Yufeng takes us on a tour of TensorBoard, the visualizer built into TensorFlow, to visualize and help debug models.

Building chatbots is fun and simple.

In this episode of AI Adventures, Yufeng Guo uses AutoML Vision to build and employ a machine learning model that recognizes different types of….chairs!

In this episode of AI Adventures, Yufeng interviews Google Research engineer Justin Zhao to talk about natural text generation, recurrent neural networks, and state of the art research!

Fulfillment Platform Rearchitecture → goo.gle/35dJrMr Building Uber’s Fulfillment Platform → goo.gle/3fJ6rEX Cloud Spanner → goo.gle/3qLIovs How does Uber scale millions of

In this first episode of Get Cooking in Cloud, Priyanka Vergadia sets the stage for building scalable and resilient websites on Google Cloud Platform.

In this episode of AI Adventures, Yufeng explores the fascinating world of pandas, an open-source python library that provides easy to use, high-performance data structures and data analysis tools.