Google Cloud Platform

Learn how to use Google Cloud's newly announced Vertex AI to build, train, and deploy scalable AI applications.

What is Vector Search and why is it becoming so important for businesses? Watch along and learn how to get started with building production-quality vector search services with Google Cloud Vertex AI.

Learn how to use BigQuery ML to train and deploy a recommendation system.

KFServing → goo.gle/3hjlCUH While training your ML model is one thing, there are many ways you can serve it to begin predictions.

When deploying workloads, it’s important to keep in mind the security of your hosting environment to prevent the exploitation of vulnerabilities or malicious activity.

Google Cloud Platform – 2 августа 2015, 2:08

Learn the basics of Service Management and how the Istio Service Mesh gives you the ability to secure, monitor, and control traffic between your services.

Build scalable web and mobile backends in any language on Google’s infrastructure. Try the labs here: goo.gl/uBbwoB *Automatically get free credits to take a lab. New enrollees only.

Learning path → goo.gle/2ZarLhz Certification → goo.gle/3zrFAF1 A Professional Cloud DevOps Engineer is responsible for efficient development operations that balance service

Two billion playlists. 30 million tracks. 75 million listeners and counting. This is just the start of how Spotify is bringing music streaming to the world.

Welcome back to the Future of Documents playlist! In the previous video we discussed how to get started on Document AI with Google Cloud Console and API.

Rapidly build serverless, cloud event-driven applications. Try the Cloud Functions: Qwik Start labs here: bit.ly/2Ef0Ktf *Automatically get 3 free credits to take the lab. New enrollees only.

Enterprises are faced with a proliferation of data assets that are spread across a variety of internal and external data sources.

Looking to simplify the development of the conversational experience using Dialogflow CX?

Most business transactions begin, involve, or end with a document.

In this episode of Cloud Storage Bytes, Jenny Brown explains how to predict and track your data usage to anticipate monthly costs.

What are persistent disks? How can they help when working with virtual machines?

Building scalable applications with Firestore → goo.gle/3aORjEf Since Critter Junction has broken their application into different microservices, they can’t just use one tool to handle

The proliferation of data has resulted in heightened demand for speedy access, analysis and visualization of data.

Learn about Google Cloud Endpoints and how it can make your application available to anyone in the world, all while keeping your servers protected, your data secure, and your clients happy.

Mete Atamel (@meteatamel) shows how to use the Translation API with C#.

When we refer to buckets in Cloud Storage, we refer to the buckets - or containers- that hold our important and sensitive data.

In this episode, Exploring Cloud Identity, Jen Person covers how Google Cloud lets you manage the identities of customers, partners, and Things through Identity Platform.

Creating a basic configuration → goo.gle/2BQu91M Provisioning compute resources has traditionally been hard to manage, not scalable, and prone to error, so what other techniques can you

See how you can gain greater visibility, accountability, control, and intelligence with Google Cloud’s cost management tools.

Learning path → goo.gle/2YO2fyq Associate Cloud Engineer certification → goo.gle/397Xf9U If you have roughly six months of hands-on experience with Google Cloud, then you're likely

Bigquery es un almacén de datos como servicio.

There are many options and technical details to consider when building a performant and scalable data backend in the cloud.

Welcome to the second episode of Cloud Security Basics, where Carter Morgan goes over the different ways that an entity can gain access to your systems.

What do you do when your data is too big to fit on your machine? In this episode of Cloud AI Adventures, Yufeng walks through some of the options and rationale for putting your big data in the cloud.