Google Cloud Embedded Labs
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See all embedded labs (free with your Pluralsight license)
A hands-on lab is an online learning environment along with a set of instructions to walk you through a live, real world, and scenario-based use case. In a lab you have access to the actual environment you want to learn about, not a simulation or demo environment. You can access the lab environment from anywhere on the Internet using a standard browser.
Our integration with Qwiklabs passes your Pluralsight credentials to Qwiklabs so that you can start a lab quickly and get on your way to apply your learning in a real-world setting.
Need help getting started with embedded labs? Check out the Pluralsight Help Center for step-by-step instructions.
*If you're having trouble accessing an embedded lab, go directly to the course's page and access it from there.*
This is a known issue and is currently being resolved by the Pluralsight team.
Cloud Infrastructure
Machine Learning
Data Engineering
Application Development
Lab: App Dev - Adding User Authentication to your Application: Node.js
Lab: App Dev - Adding User Authentication to your Application: Java
Lab: App Dev - Adding User Authentication to your Application: Python
Lab: App Dev - Processing Cloud Pub/Sub Data using Cloud Functions: Node.js
Lab: App Dev - Deploying an API for the Quiz Application: Node.js
Lab: App Dev - Deploying the Application into Kubernetes Engine: Node.js
Lab: App Dev - Deploying the Application into Kubernetes Engine: Java
Lab: App Dev - Deploying the Application into Kubernetes Engine: Python
Lab: App Dev - Deploying the Application into App Engine Flexible Environment: Node.js
Lab: App Dev - Deploying the Application into App Engine Flexible Environment: Java
Lab: App Dev - Deploying the Application into App Engine Flexible Environment: Python
Lab: App Dev - Harnessing Stackdriver Trace and Monitoring: Node.js
Lab: App Dev - Setting Up a Development Environment: Node.js
Lab: App Dev - Storing Application Data in Cloud DataStore: Node.js
Lab: App Dev - Storing Application Data in Cloud DataStore: Java
Lab: App Dev - Storing Application Data in Cloud DataStore: Python
Lab: App Dev - Storing Image and Video Files in Cloud Storage: Node.js
Lab: App Dev - Storing Image and Video Files in Cloud Storage: Java
Lab: App Dev - Storing Image and Video Files in Cloud Storage: Python
Lab: Building and Executing a Pipeline Graph with Data Fusion
Lab: Serverless Data Analysis with Dataflow: A Simple Dataflow Pipeline (Python)
Lab: Serverless Data Analysis with Dataflow: A Simple Dataflow Pipeline (Java)
Lab: Serverless Data Analysis with Dataflow: MapReduce in Dataflow (Python)
Lab: Serverless Data Analysis with Dataflow : MapReduce in Dataflow (Java)
Lab: Serverless Data Analysis with Dataflow: Side Inputs (Python)
Lab: Serverless Data Analysis with Dataflow: Side Inputs (Java)
- GCP Fundamentals: Getting Started with Cloud Marketplace - Windows
GCP Fundamentals: Getting Started with Compute Engine - Windows
GCP Fundamentals: Getting Started with Cloud Storage and Cloud SQL - Windows
GCP Fundamentals: Getting Started with Kubernetes Engine - Windows
GCP Fundamentals: Getting Started with Deployment Manager and Stackdriver - Windows
Lab: Configuring, using and auditing VM service accounts and scopes
Lab: Encrypting Disks with Customer Supplied Encryption Keys
Lab: Using Customer-Supplied Encryption Keys with Cloud Storage
Lab: Using Customer-Managed Encryption Keys with Cloud Storage and Cloud KMS
Lab: Using Cloud Security Scanner to Find Vulnerabilities in an App Engine Application
Lab: Dataflow Academy (Java) - Lab 1 - Writing an ETL pipeline using Apache Beam and Cloud Dataflow
Lab: Dataflow Academy (Java) - Lab 3 - Batch Analytics Pipelines with Cloud Dataflow
Lab: Dataflow Academy (Python) - Lab 3 - Batch Analytics Pipelines with Cloud Dataflow
Lab: Dataflow Academy (Java) - Lab 5 - Streaming Analytics Pipeline with Cloud Dataflow
Lab: Dataflow Academy (Python) - Lab 5 - Streaming Analytics Pipeline with Cloud Dataflow
Lab: Dataflow Academy (Python) - Lab 2 - Branching Pipelines
Lab: Dataflow Academy (Java) - Lab 7 - Advanced Streaming Analytics Pipeline with Cloud Dataflow
Lab: Dataflow Academy (Python) - Lab 7 - Advanced Streaming Analytics Pipeline with Cloud Dataflow
Lab: Dataflow Academy (Java) - Lab 4 - SQL Batch Analytics Pipelines with Cloud Dataflow
Lab: Dataflow Academy (Python) - Lab 4 - SQL Batch Analytics Pipelines with Cloud Dataflow
Lab: Dataflow Academy (Java) - Lab 6 - Using Dataflow SQL for Streaming Analytics
Lab: Dataflow Academy (Python) - Lab 6 - Using Dataflow SQL for Streaming Analytics
- Lab: Serverless Data Processing with Dataflow - Monitoring, Logging and Error Reporting for Dataflow Jobs
Lab: Serverless Data Processing with Dataflow - Testing with Apache Beam (Java)
Lab: Serverless Data Processing with Dataflow - Testing with Apache Beam (Python)
Lab: Serverless Data Processing with Dataflow - CI/CD with Dataflow
Lab: Serverless Data Processing with Dataflow - Custom Dataflow Flex Templates (Java)
Lab: Serverless Data Processing with Dataflow - Custom Dataflow Flex Templates (Python)
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With your 14-day pilot, you can:
- Access thousands of videos to develop critical skills
- Give up to 10 users access to thousands of video courses
- Practice and apply skills with interactive courses and projects
- See skills, usage, and trend data for your teams
- Prepare for certifications with industry-leading practice exams
- Measure proficiency across skills and roles
- Align learning to your goals with paths and channels
With your Pluralsight plan, you can:
With your 14-day pilot, you can:
- Access thousands of videos to develop critical skills
- Give up to 10 users access to thousands of video courses
- Practice and apply skills with interactive courses and projects
- See skills, usage, and trend data for your teams
- Prepare for certifications with industry-leading practice exams
- Measure proficiency across skills and roles
- Align learning to your goals with paths and channels
