Introduction to JAX
JAX is an open-source Python library that brings together Autograd and XLA, facilitating high-performance machine learning research.
33 386
9.9
Build a Cross-Platform Mobile App in 30 Minutes with Firebase (Cloud Next '18)
Firebase is the fastest way to build a scalable app from scratch, or to add functionality to your existing mobile apps.
33 386
39.8
Introducing AlloyDB, a PostgreSQL-compatible cloud database service
Learn more about AlloyDB, the new and powerful relational database service from Google Cloud.
33 280
20.4
Data Connector for Salesforce
Data Connector for Salesforce, a Google Sheet add-on, makes it easy to import, analyze, edit, and update your organization’s data from Salesforce.
33 259
42.1
The Innovation behind Google’s Data Centers (Google Cloud Next '17)
Joe Kava, VP Google’s global data centers, talks about what makes our data center performance best in class.
33 216
54.5
Build powerful custom apps fast with App Maker on G Suite (Google Cloud Next '17)
App Maker is G Suite's low-code app development tool that lets developers quickly build and deploy custom apps tailored to their company's needs.
33 176
40
Protect data with authorized views
As a data warehouse, BigQuery offers the ability to easily share datasets with different users by setting customized access controls.
33 165
31.2
Continuous Delivery Best Practices with Jenkins and GKE (Cloud Next '18)
Jenkins is one of the most popular CI systems in the world. It’s flexibility and ecosystem allow it to be used for almost any task.
33 129
22.9
Adding Machine Learning to your applications
Google provides infrastructure, services, and APIs for you to create your own machine learning models. They also have pretrained machine learning APIs that you can use in your applications today.
33 111
17.8
Where Should I Run My Code? Serverless, Containers, VMs and More (Cloud Next '18)
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.
32 968
17.4
Developing apps that scale automatically with Google App Engine
Google App Engine is a platform for building web and mobile apps that scale automatically, serve securely, and require almost no ongoing operations support.
32 910
34.6
Manage your Cloud Run secrets securely with Secret Manager
Code shown in this episode → goo.gle/3boFqFb Secret Manager docs → goo.gle/3eFNtzm Secret Manager is a secure and convenient storage system for API keys, passwords, certificates
32 906
15.7
What is Google Cloud Operations?
Formerly known as Stackdriver, Google Cloud Operations Suite is a platform where you can monitor, troubleshoot, and improve application performance on your Google Cloud environment.
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32
Cloud OnAir: Networking 104 - Everything You Need to Know About Load Balancers on GCP
Do you have a clear understanding of the difference between all of Google's load balancing product suite?
32 846
20.3
What should I migrate first?
In this episode of Google Cloud Migration 101, Priyanka Vergadia and Kyle Moschetto show you what sorts of applications are best to start your Cloud migration with.
32 803
15.3
Cloud Run + Cloud SQL, setup
Code for this episode → goo.gle/3eSifpa Cloud SQL documentation → goo.gle/3eSifpa Cloud Run documentation → goo.gle/3cMPsj3 Cloud Run is serverless, which means you don’t
32 725
23.3
Starting your career in cloud from IT
Google Cloud Skills Boost → goo.gle/3OVQ20t Kubernetes the Hard Way → goo.gle/3868mmQ Cloud Resume Challenge → goo.gle/3MUBhch Welcome to the first episode of Cracking The
32 557
8.1
How to build a Kubeflow Pipeline
Experiment with pipeline samples→ goo.gle/2QuyMSO Want to learn how to create an ML application from Kubeflow Pipelines?
32 449
37.6
Building IoT Applications on Google Cloud (Cloud Next '18)
Have you always wanted to build an IoT device and connect it to the Cloud? Feeling intimidated by the number of moving parts involved in making that happen?
32 439
24.3
Build end-to-end solutions with Vertex AI | Session
Learn how to use Google Cloud's newly announced Vertex AI to build, train, and deploy scalable AI applications.
32 360
16.3
Diving into the TPU v2 and v3
In this episode of AI Adventures, Yufeng Guo introduces the TPU v2 and v3. Specifically, he goes over their architecture, how they work, and how Google Developers can get their hands on these TPUs.
32 355
10.4
How to save and share queries in BigQuery
Want to know how to save and share your queries in BigQuery hassle-free?
32 343
45.3
Introduction to Vertex AI Feature Store
Documentation → goo.gle/3zWiKFH Feature engineering involves transforming raw data into high quality input signals for ML models, but what if there was a simpler way?
32 203
31.9
A Glimpse Into CBS Interactive’s AI/ML Group (Cloud Next '19)
Machine learning and transfer learning is the key to getting off the ground — from zero to production.
32 162
127.3
Webinar: Getting Started with Google Cloud Platform
Google Cloud Platform – 2 августа 2015, 2:08
32 135
58.8
Using AI in manufacturing for increased productivity
What if there was an AI tool that allowed manufactures the ability to reduce the cost of human operation, incorporate active learning for ML models, and provide quantitative metrics for investment
32 123
22.5
Introduction to Service Management with Istio Service Mesh (Cloud Next '18)
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.
32 087
35.9
Get Meaningful Insights with Google BigQuery | Google Cloud Labs
Perform fast, insightful analysis on Big Data.
32 084
22.7
Streaming music for every moment with Spotify and Google Cloud Platform
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.
32 062
48.9