Generative AI for Business Leaders
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How Google does Machine Learning
دوراتنا
Connect to Cloud SQL from an Application in Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. This lab shows how easy it is to connect an application in Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a Kubernetes Engine cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.
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1 ساعات
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الإنجليزية
HTTP Google Cloud Functions in Go
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you’ll build an HTTP Cloud Function in Go.
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1 ساعات
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الإنجليزية
Getting Started with Cloud KMS
This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll work with advanced features of Google Cloud Security and Privacy APIs, including setting up a secure Cloud Storage bucket, managing keys and encrypted data using Key Management Storage, and viewing Cloud Storage audit logs.
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1 ساعات
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الإنجليزية
Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).
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Self Paced
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2 ساعات
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الإنجليزية
Video Intelligence: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. In this lab use the Google Cloud Video intelligence app to extract metadata from a sample video file. Watch the short video Google Cloud Video Intelligence - Search every moment of every video in your catalog.
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1 ساعات
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الإنجليزية
User Authentication: Identity-Aware Proxy
This is a self-paced lab that takes place in the Google Cloud console. Learn how to restrict access selected authenticated users with Identity-Aware Proxy without special programming. Discover how to retrieve user identity information from IAP.
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1 ساعات
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الإنجليزية
Using Google Cloud Services with Apigee X
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use multiple Google Cloud services from an Apigee API proxy.
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2 ساعات
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الإنجليزية
Creating Date-Partitioned Tables in BigQuery
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
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1 ساعات
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الإنجليزية
Digital Transformation Using AI/ML with Google Cloud
This series of courses begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models. The specialization is intended for anyone interested in how the use of AI and ML for the cloud, and especially for data, creates opportunities and requires change for businesses. No previous experience with ML, programming, or cloud technologies is required. The courses do not include any hands-on technical training.
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الإنجليزية
Using Ruby on Rails with Cloud SQL for PostgreSQL on Cloud Run
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn how to deploy a new Ruby on Rails application using Google Cloud SQL for PostgreSQL on Cloud Run.
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1 ساعات
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الإنجليزية
Analyzing Natality Data Using Vertex AI and BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab is part of a series of labs on processing scientific data.
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1 ساعات
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الإنجليزية
Building No-Code Apps with AppSheet
This specialization first introduces you to the fundamentals of no-code application development and the capabilities offered by Google Cloud's no-code application development platform AppSheet. Learn to organize and manage app data, secure and customize apps, and integrate with external services. The courses in this specialization also include topics on managing and upgrading your app, improving app performance and troubleshooting. Recognize the need to implement business process automation, and use AppSheet’s automation capabilities to send notifications, generate reports and parse documents.
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الإنجليزية
Machine Learning on Google Cloud
What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code?
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الإنجليزية
Ingesting New Datasets into BigQuery
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to ingest new datasets into tables inside of BigQuery.
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1 ساعات
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الإنجليزية
Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.
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1 ساعات
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الإنجليزية
Preparing for Google Cloud Certification: Cloud Data Engineer
This program provides the skills you need to advance your career in data engineering and provides a pathway to earn the industry-recognized Google Cloud Professional Data Engineer certification.
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الإنجليزية
Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
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2 ساعات
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الإنجليزية
Networking in Google Cloud
This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN.
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الإنجليزية
Preparing for Google Cloud Certification: Cloud DevOps Engineer
This program provides the skills you need to advance your career as a data engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional DevOps Engineer certification. 87% of Google Cloud certified users feel more confident in their cloud skills. You'll also have the opportunity to practice key job skills using Google Cloud to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.
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الإنجليزية
Advanced Machine Learning on Google Cloud
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems.
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VM Migration: Introduction to StratoZone Assessments
This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to assess an IT environment with StratoZone's scalable discovery.
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2 ساعات
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الإنجليزية
Vertex AI: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.
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2 ساعات
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الإنجليزية
Filtering and Sorting Data in Looker
This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to filter and sort data, and create looks with Looker.
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1 ساعات
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الإنجليزية
Security in Google Cloud
Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Security Command Center, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor.
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الإنجليزية
Securing Multi-Cloud Applications using BeyondCorp Enterprise (BCE)
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to secure multi-cloud applications using Identity-Aware Proxy (IAP) connector.…
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Course by
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Self Paced
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الإنجليزية