Google Cloud Platform

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

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

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

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

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

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

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.

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.

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

With the rise of Large Language Models, search engines are rapidly evolving with the "semantic search" capability.

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.

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.

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.

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

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

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

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

Introduction to Vertex AI → bit.ly/Vertex_AI Train a Model on Vertex AI → bit.ly/40q5yXA Train and Use your own Models → bit.ly/42SWUm4 Are you interested in leveraging

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

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

Bigquery es un almacén de datos como servicio.

Kubernetes had become the orchestrator of choice to deploy applications — but what about a developer’s day to day job?

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.

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.

OpenAPI is a vendor neutral, portable, open specification for designing, describing, and deploying APIs. It enables you to describe APIs in a manner consumable by humans and apps.

Large datasets in BigQuery might make it cost prohibitive to scale dashboard solutions.

Preview of the Cloud ML Engine: Qwik Start lab.

Are you thinking about migrating to the cloud? Or maybe you know you have to but aren’t sure where to begin? This video is for you! We know every company’s story is a little different.

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.

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.