
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.
cloud infrastructure
Machine Learning
Data Engineering
application development
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: Developing APIs with Apigee, Lab 4: Using OAuth
Lab: Developing APIs with Apigee, Lab 5: Protecting Against JSON Content Attacks
Lab: Developing APIs with Apigee, Lab 5a: Using Regex Threat Protection
Lab: Developing APIs with Apigee, Lab 6: Protecting Against Internal Threats
Lab: Developing APIs with Apigee, Lab 6a: Masking Sensitive Data
- Lab: Developing APIs with Apigee, Lab 1: Generating an API Proxy Using an OpenAPI Specification
Lab: Developing APIs with Apigee, Lab 2: Using Target Servers
Lab: Developing APIs with Apigee, Lab 2a: Using Proxy Endpoints and Route Rules
Lab: Developing APIs with Apigee, Lab 2b: Using the Trace Tool
Lab: Developing APIs with Apigee, Lab 3: Publishing APIs as Products
Lab: Developing APIs with Apigee, Lab 3a: Using API Products for Access Control
- Lab: Developing APIs with Apigee, Lab 7: Adding XML Support
Lab: Developing APIs with Apigee, Lab 7a: Creating a REST API for a SOAP Service
Lab: Developing APIs with Apigee, Lab 8: Mashing Up Services
Lab: Developing APIs with Apigee, Lab 8a: Using Hosted Targets
Lab: Developing APIs with Apigee, Lab 8b: Calling Services in Parallel Using JavaScript
Lab: Developing APIs with Apigee, Lab 13: Configuring and Using a Developer Portal
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