Jupyter on the web with Colab
In this episode of AI Adventures, Yufeng introduces Colab, which allows you to not only execute Jupyter Notebooks on the web, but also offers a free GPU, excellent collaboration features, built-in
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14.2
What is the Translation API?
For applications and websites, it’s important that their interfaces are usable for a global audience.
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25
Certification Journey for Google Cloud Partners
This video provides our Google Cloud Partners an overview of the Google Cloud Platform certification landscape and the exclusive benefits available to help our valued partners prepare to become
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22.9
Push or Pull Subscriber? - ep. 6
In this episode of Pub/Sub Made Easy, Priyanka Vergadia will distinguish between Push and Pull Subscribers. You will learn which model (push or pull) makes sense for your use case.
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18.5
Introduction to Vertex AI Model Garden
Model Garden → goo.gle/3Jhep7F Model Garden on Vertex AI is a Google Cloud framework that provides a collection of pre-built machine learning models and tools for building and deploying
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32.5
Building an API proxy with Apigee
Learn more about Apigee → goo.gle/3iomfiS Steps on how to create an API proxy → goo.gle/2UkN6Cr Accessing your API proxies (create an internal virtual machine or external load
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28.8
Apigee: Full-lifecycle API management
Looking to modernize your legacy application by migrating to Google Cloud?
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38.3
Observability of Distributed Systems (class SRE implements DevOps)
In their previous video, Liz and Seth reduced actionable alerts by focusing on Service Level Objectives (SLOs), but how can we make our systems observable, instead of only being able to debug what
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17
Cloudsql
This video walks you through how to set up CloudSQL. CloudSQL is : ● Simple & Fully Managed - No software installation required.
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78.2
How to build a data pipeline with Google Cloud
Spin up this demo with a click-to-deploy version → goo.gle/3VspVRQ Whether you want to use data to perform analytics, to build machine learning models, or for reporting and business
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19.4
Data Fusion in a minute
Learn more about Data Fusion → goo.gle/3bgwbWE Cloud Data Fusion is a fully managed, cloud-native, enterprise data integration service for quickly building and managing data pipelines.
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37.5
Data Catalog in a minute
Learn more about Data Catalog → goo.gle/3eXtVHm Data Catalog is a fully managed and scalable metadata management service that requires no infrastructure to manage or set up - allowing
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46.3
Skaffold - Local Kubernetes Development Made Easy
Skaffold is a tool designed to make local Kubernetes development easy.
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19.6
Incident Management (class SRE implements DevOps)
In the previous video, Liz and Seth discussed how to make systems observable and how observability helps us diagnose failing systems, but didn't cover what to do when an incident grows beyond the
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19.1
Google Cloud Storage: Massive Scalability Plus More | Google Cloud Labs
Learn about Google Cloud Storage and how it’s built to store at scale an enterprise’s structured and unstructured data.
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24.2
Apache Beam: Portable and Parallel Data Processing (Google Cloud Next '17)
Apache Beam provides a portable standard for expressing robust, out-of-order data processing pipelines in a variety of languages across a variety of platforms.
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25.4
Build AI-powered apps on Vertex AI with LangChain
Get your Generative AI applications from prototype to production quickly with LangChain and Vertex AI. With Google Cloud’s Vertex AI, developers gain access to the power of Generative AI.
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22.8
Using Kubernetes, Spinnaker and Istio to Manage a Multi-cloud Environment (Cloud Next '18)
In this session, learn why organizations are choosing to run in multicloud environments.
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17.7
I created an AI-powered video archive for searching family videos
Welcome to the first episode of Making with Machine Learning! In this series, we’ll build apps powered by Machine Learning and AI, no experience required.
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11
Platform Overview - Machine Learning
In this short GCP Essentials video, see how GCP has made Machine Learning easier for you from behind the scenes.
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25.5
Introducing GKE Autopilot
GKE Autopilot → goo.gle/2Pen9lG What is GKE Autopilot?
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23.3
An introduction to MLOps on Google Cloud
The enterprise machine learning life cycle is expanding as firms increasingly look to automate their production ML systems.
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19.2
INFRASTRUCTURE & OPERATIONS - How Google Does Planet-Scale Engineering for Planet-Scale Infra
Recorded on Mar 24 2016 at GCP NEXT 2016 in San Francisco. Google invented Site Reliability Engineering, and it's the unique secret sauce that keeps our infrastructure alive and working for you.
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27.9
Deploying Node.js on App Engine standard environment
In this video you will learn how you can quickly and easily deploy a node.js application on App Engine standard environment.
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27.5
How to use Cloud Speech-to-Text with cURL
Cloud Speech-to-Text command-line quickstart tutorial → goo.gle/35ieK99 Install the Google Cloud SDK → goo.gle/3qgWsMC Speech-to-Text documentation → goo.gle/3sCSobv In this
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49.2
Meet the Authors – Go Language (Cloud Next '19)
Go is an open source language that enables the production of simple, efficient, and reliable software at scale.
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17.2
How to automatically transcribe your video or audio into text
What if we told you that you could easily translate audio or video with just an API?
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19.8
Google Cloud Functions
Cloud Functions is Google Cloud’s event-driven, serverless platform that offers flexible, fast cloud app development.
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46.1
Platform Overview - Compute
Learn about Compute Engine Essentials. Hear Alexis Moussine-Pouchkine discuss Platform Overview of Compute Engine.
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19.6
BigQuery Nested and Repeated Fields: Dig Deeper into Data (Cloud Next '18)
Are you ready to take your knowledge of SQL to its final frontiers?
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28.7