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Creating Permanent Tables and Access-Controlled Views in BigQuery

Creating Permanent Tables and Access-Controlled Views in BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.

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  • 1 ساعات
  • الإنجليزية
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Managing Vault Tokens

Managing Vault Tokens

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to manage different types of tokens in Vault.

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  • 1 ساعات
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MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform

MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform.

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APIs Explorer: Qwik Start

APIs Explorer: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll upload an image to Cloud Storage then make a request to the Vision API with APIs Explorer.

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  • 1 ساعات
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Exam Prep: HashiCorp Certified Terraform Associate (003)

Exam Prep: HashiCorp Certified Terraform Associate (003)

Terraform is one of the most recognized infrastructure automation tools that help in addressing various real-life challenges. This training course helps you develop your skills and knowledge in Terraform. You can learn the skills for developing cloud infrastructure in an effective and reliable manner. In addition, you can also develop the skills for the automation of infrastructure by using Terraform for public cloud platforms. Exam Prep: HashiCorp Certified Terraform Associate (003) course contains 11+ hours of Training content. Learners could find a combination of Video Lectures.

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  • 15 ساعات
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Developing APIs with Google Cloud's Apigee API Platform

Developing APIs with Google Cloud's Apigee API Platform

This three-course specialization introduces learners to Apigee, Google Cloud's full-lifecycle API management platform. Using a combination of presentations, hands-on labs, and supplemental materials, you will explore the full API lifecycle, and learn how to design, secure, and publish APIs using the Apigee API Platform. You will use labs to build APIs that solve real-world scenarios. Note: We strongly recommend that you take the courses in order.

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  • الإنجليزية
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Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictions with your BigQuery ML model as well as export and deploy it to Vertex AI for online predictions.

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  • 2 ساعات
  • الإنجليزية
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Cloud Source Repositories: Qwik Start

Cloud Source Repositories: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create a local Git repository that contains files for a sample App Engine application, add a GCP repository as a remote, and push the contents of the local repository.

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  • 1 ساعات
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Responding to Cloud Logging Messages with Cloud Functions

Responding to Cloud Logging Messages with Cloud Functions

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to use Cloud Functions to do lightweight processing of Cloud Logging messages

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  • 1 ساعات
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Cloud IDS: Qwik Start

Cloud IDS: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab, Deploy Cloud IDS (Intrusion Detection System), a next-generation advanced intrusion detection service that provides threat detection fo…

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Working with JSON, Arrays, and Structs in BigQuery

Working with JSON, Arrays, and Structs in BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.

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  • 1 ساعات
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Finding Data in Google Sheets

Finding Data in Google Sheets

This is a self-paced lab that takes place in the Google Cloud console. Finding specific content in large spreadsheets can be tricky. Learn to manipulate, search and substitute values in Google Sheets using features and functions like VLOOKUP, SUBSTITUTE and QUERY.

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  • 1 ساعات
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Preparing for Google Cloud Certification: Cloud Engineer

Preparing for Google Cloud Certification: Cloud Engineer

This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Associate Cloud Engineer certification.

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Introduction to Image Generation - Français

Introduction to Image Generation - Français

Ce cours présente les modèles de diffusion, une famille de modèles de machine learning qui s'est récemment révélée prometteuse dans le domaine de la génération d'images. Les modèles de diffusion trouvent leur origine dans la physique, et plus précisément dans la thermodynamique. Au cours des dernières années, ils ont gagné en popularité dans la recherche et l'industrie. Ils sont à la base de nombreux modèles et outils Google Cloud avancés de génération d'images.

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MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform

MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform

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Data Loss Prevention: Qwik Start - JSON

Data Loss Prevention: Qwik Start - JSON

This is a self-paced lab that takes place in the Google Cloud console. The Data Loss Prevention API provides programmatic access to a powerful detection engine for privacy-sensitive data. In this lab, you will learn how to use this API to inspect a string of data for sensitive information.

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  • 1 ساعات
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Cloud Composer: Qwik Start - Console

Cloud Composer: Qwik Start - Console

This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.

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  • 1 ساعات
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APIs Explorer: Cloud SQL

APIs Explorer: Cloud SQL

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will get hands-on practice with the Cloud SQL API and its associated methods by making calls through the APIs Explorer tool.

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  • 1 ساعات
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Data Engineering, Big Data, and Machine Learning on GCP

Data Engineering, Big Data, and Machine Learning on GCP

87% of Google Cloud certified users feel more confident in their cloud skills.

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Interacting with Vault Policies

Interacting with Vault Policies

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn to write and use Vault Policies.

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  • 1 ساعات
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Architecting Hybrid Cloud Infrastructure with Anthos

Architecting Hybrid Cloud Infrastructure with Anthos

This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.

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Improving Network Performance I

Improving Network Performance I

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll work on practical elements of performance testing, with an eye to improving network bandwidth in your environment by using different core sizes and internal vs. external networks.

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  • 1 ساعات
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Cloud Security Scanner: Qwik Start

Cloud Security Scanner: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. The Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications.

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  • 1 ساعات
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Merging Results from Different Explores in Looker

Merging Results from Different Explores in Looker

This is a Google Cloud Self-Paced Lab. In this lab, you will merge results from different explores in Looker.

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  • 1 ساعات
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Creating Dynamic Secrets for Google Cloud with Vault

Creating Dynamic Secrets for Google Cloud with Vault

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to create dynamic secrets in Vault.

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  • 1 ساعات
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