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Training Library
Learn cloud computing, test your cloud skills, and understand how to approach and solve business problems with real cloud scenarios across Amazon Web Services, Microsoft Azure, Google Cloud, DevOps, and other cloud ecosystem services. New content and updates are added every month.
New this month in our library
- COURSENEWApp Creation DemonstrationIntermediateDuration: 31 minutes and 41 secondsType: new course; Difficulty: Intermediate; Duration: 31 minutes and 41 seconds; This course has: 9 Units
- COURSEThomas Mitchell
NEWFinOps Framework for MulticloudBeginnerDuration: 12 minutes and 13 secondsAuthor: Thomas Mitchell; Type: new course; Difficulty: Beginner; Duration: 12 minutes and 13 seconds; Content Topics: Management; This course has: 4 Units - COURSENEWMulticloud Metrics, Tracing, and Log AggregationBeginnerDuration: 31 minutes and 57 secondsType: new course; Difficulty: Beginner; Duration: 31 minutes and 57 seconds; This course has: 8 Units
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Search results 1753 - 1776 of 5048Learn smarter with Smart Skills!
Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABAndrew Burchill
Auto scaling and testing an Amazon ECS deploymentBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS CLI to configure auto scaling for an Amazon ECS deployment in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABLogan Rakai
Scanning Container Images for Known VulnerabilitiesBeginnerDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to scan container images for known vulnerabilities using Trivy in this lab.; Duration: Up to 30 minutes; Content Topics: Security vulnerabilities, threats and countermeasures, Containers; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Examining an AWS App Runner ServiceBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to easily deploy web applications with no prior AWS experience by examining an AWS App Runner service in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: AWS App Runner; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Docker: Exploring the DockerfileIntermediateDuration: Up to 3 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Gaining a mastery of Docker starts with the Dockerfile. Creating and maintaining Dockerfiles requires an understanding of the supported instructions. This hands-on lab explores the structure and usage of Dockerfiles.; Duration: Up to 3 hours; Content Topics: Containers; This hands-on lab has: 11 Lab steps - HANDS-ON LABBen Lambert
Docker: Building ServicesIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Gain further insights into Docker Engine by creating a multi-container service without Compose. This hands-on lab steps through the creation of a three container web application.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 5 Lab steps - HANDS-ON LABJun Fritz
Introduction to GraphQLBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Discover the advantages of using GraphQL and learn how to access data efficiently using queries in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Python: ExceptionsIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Understanding how to handle exceptions is an essential aspect of Python development. Learn how to create, handle, and raise exceptions in Python through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 5 Lab steps - HANDS-ON LABJeremy Cook
Monitoring Amazon CloudWatch Log Group SizesBeginnerDuration: Up to 1 hourAuthor: Jeremy Cook; Difficulty: Beginner; Description: CloudWatch Log Size Monitoring; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABBen Lambert
Python: Lambda FunctionsAdvancedDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Advanced; Description: The Python language syntax includes rules for anonymous functions named: lambda functions. Learn lambda functions through hands-on examples and a chance to practice what you've learned.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Observing Network Flows Using VPC Traffic MirroringBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to configure, start mirroring, and observe VPC traffic in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABJeremy Cook
Use Terraform to Create an Azure Load Balanced Web AppIntermediateDuration: Up to 1 hourAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Learn how to use Terraform to provision an Azure Load Balanced Web App; Duration: Up to 1 hour; Content Topics: Deployment; This hands-on lab has: 2 Lab steps - HANDS-ON LABJeremy Cook
Use Terraform and Ansible Together to Create an Azure Linux VM with Nginx InstalledIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Learn how to use Terraform and Ansible together to create and configure an Azure VM Nginx web server.; Duration: Up to 1 hour and 30 minutes; Content Topics: Management, DevOps, Deployment; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Python: Dependency Management ChallengeIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Demonstrate your knowledge of managing third-party dependencies for Python applications with pip and build across three levels of challenges.; Duration: Up to 2 hours; This hands-on lab has: 3 Lab steps - LAB CHALLENGEBen Lambert
Python: Unittest ChallengeIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Demonstrate your knowledge of Python's unittest module with three levels of increasingly difficult hands-on challenges.; Duration: Up to 2 hours; Content Topics: Development; This lab challenge has: 3 Lab steps - LAB CHALLENGEBen Lambert
Python: Relational Database ChallengeIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Demonstrate your knowledge of using Python to interact with SQL databases with two levels of code challenges.; Duration: Up to 2 hours; Content Topics: Development; This lab challenge has: 3 Lab steps - LAB CHALLENGEParveen Singh
Deploying an HTTP Trigger Azure Function App ChallengeIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Put your Azure Function skills to the test by deploying an HTTP trigger-based function app in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This lab challenge has: 2 Lab steps - HANDS-ON LABParveen Singh
Azure Web Application and Container App PlaygroundIntermediateDuration: Up to 2 hoursAuthor: Parveen Singh; Difficulty: Intermediate; Description: Hone your Azure Web App skills in a free-reign, empty Azure environment by creating and managing web applications, container apps, and container registry in any way you see fit.; Duration: Up to 2 hours; Content Topics: Microsoft Azure; This hands-on lab has: 2 Lab steps - HANDS-ON LABBen Lambert
Python: Introduction to SQLAlchemyAdvancedDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Advanced; Description: SQLAlchemy is a module designed to provide better developer ergonomics for database access and interactions. Learn how to interact with relational databases in Python with SQLAlchemy.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps - HANDS-ON LABAdil Islam
Deploying a Webapp to Azure App Service Using Git LocallyBeginnerDuration: Up to 45 minutesAuthor: Adil Islam; Difficulty: Beginner; Description: Learn how to deploy a webapp to Azure App service locally using Git in this hands-on lab!; Duration: Up to 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps - HANDS-ON LABJeremy Cook
Amazon EKS - Deploy a Web App into an IPv6 ClusterIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Amazon EKS - Create and Manage an IPv6 Cluster; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 8 Lab steps - HANDS-ON LABJun Fritz
Importing AWS CloudFormation Templates into the AWS CDKIntermediateDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to import an existing AWS CloudFormation template into an AWS CDK application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps - HANDS-ON LABBen Lambert
Python: Introduction to DebuggingIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Debugging is a natural part of the development process. This lab introduces three debugging techniques for effectively debugging Python applications.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps - LAB CHALLENGEAndrew Burchill
Amazon API Gateway REST ChallengeBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Test your Amazon API Gateway skills as you are tasked with setting up a new REST API in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps - HANDS-ON LABStefano Cascavilla
Create and Execute Your First dbt ModelsBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create your first dbt models. You will create a model starting from the dbt sources, and you will create another one starting from the existing model. You will then execute and materialize them in the PostgreSQL database.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps