Google Cloud Platform

Create a dataset using the console → goo.gle/3K1OeAj Most enterprises use data to make meaningful predictions that can bolster their business into new markets.

Networking is a fundamental construct for any application, however it is also a very complex concept.

This video walks you through how to get started with the Speech API for Node.js.

There are many different ways to think about running code these days. And the tradeoffs are different when you're working with existing systems as opposed to designing an entirely new system.

Learn how to create and use Service Accounts on Google Cloud Platform. Service Accounts lets machines, such as Compute Engine VMs, connect to and authenticate to various Google Cloud services.

Did you know Google Cloud offers a broad spectrum of machine learning options?

Dialogflow CX helps simplify the creation of enterprise level conversational experiences.

Google Cloud infrastructure → goo.gle/3uQw2Cf Follow Stephanie on Twitter for more cloud content → goo.gle/2Zr0HaO There are various components that are needed to ensure a data

BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse.

In this episode of AI Adventures, Yufeng explains how to scale your machine learning using the cloud, no ops work required!

Improve your BigQuery SQL query times and reduce overall costs by partitioning and clustering your tables!

#GCPStartupGuides Episode 7: Getting started with Cloud SQL Tune into our new series for a new episode each time and let us know what you think in the comments below!

There are many ways you can run code on Google Cloud, including virtual machines, serverless computing, and containers.

What is a node? How are nodes related to clusters and pods in Kubernetes?

Learn more about Dataproc → goo.gle/3jgLnXk Dataproc is a managed service that lets you take advantage of open source data tools like Apache Spark, Flink and Presto for batch processing

A managed ML training service can help you automate experimentation at scale or retain models for a production application.

There's no denying the benefits of containers and Kubernetes, but getting started can be overwhelming.

Preview of the Set Up Network & HTTP Load Balancers lab - part of the GCP Essentials Quest on Qwiklabs.

Continuous Delivery (and Deploy) is a new look at how we should get our deployable artifacts into production.

This video shows you how to deploy a Python 3 application on Google App Engine.

Cloud AutoML Vision is a machine learning product that helps developers train models. In this video, Sara gives some tips and tricks to help prepare your image data in Cloud AutoML vision.

Learn more about Google Cloud Workflows → goo.gle/3qlo0hJ As more services are integrated into your solutions, it can become hard to develop, debug, and visualize.

The Cloud Speech API ( cloud.google.com/speech) transcribes audio in over 80 languages, and supports both batch and streaming formats. This demo shows how to make a curl request to the API.

Liz Fong-Jones and Seth Vargo are back again, this time discussing the SRE topic called "toil".

In this video, learn how to use the Cloud SQL Proxy to create a secure connection to Google Cloud SQL from your local machine or external application.

What is Cloud SQL? How do I set it up? How do I migrate my existing MySQL database to Cloud SQL? Will my data be safe? How much does it cost?

Google Cloud Vision API is a tool that enables developers to understand the contents of an image. Today, we’ve added a brand-new feature to the Vision API—Style Detection.

Google Cloud Spanner → goo.gle/3iAn3PJ If you need to handle unexpected business spikes or deliver applications that transform your business, you have to make sure that you have a database

To help the millions of developers building apps with Google Cloud, we’re introducing Duet AI for Google Cloud.

Read the blog → goo.gle/3lexNXs Previous video → goo.gle/3y8kFqx Did you know that optimizing SQL queries can be cost efficient?