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- HANDS-ON LABQA
NEWLive Lab QASREE-BL: Lab 5 DR Site creationBeginnerDuration: Up to 3 hoursAuthor: QA; Type: new hands-on lab; Difficulty: Beginner; Description: This lab is focused on creating a DR site for AWS. If the Primary site resources have issues that affect service availability, it is important that this is detected and, where appropriate, automatic remedial action is performed. During this lab, you will be challenged to take an existing environment consisting of a basic web frontend, provisioned by an autoscaling group and database backend and provision a 'Pilot Light' DR site. As this is a challenge-style lab, you will only be given high-level instructions with supporting information when required.; Duration: Up to 3 hours; This hands-on lab has: 13 Lab steps - HANDS-ON LABQA
NEWLive Lab QASREE-BL: Lab 4 Stress TestingBeginnerDuration: Up to 3 hoursAuthor: QA; Type: new hands-on lab; Difficulty: Beginner; Description: This lab uses an AWS infrastructure — Web, Application, and Database, to help you explore stress testing tools such as Stress, JMeter and BlazeMeter; Duration: Up to 3 hours; This hands-on lab has: 12 Lab steps - HANDS-ON LABQA
NEWLive Lab QASREE-BL : Lab 3 MonitoringBeginnerDuration: Up to 3 hoursAuthor: QA; Type: new hands-on lab; Difficulty: Beginner; Description: This lab takes you through the steps of setting up monitoring in the cloud. Using EC2s you will use Prometheus metrics, Grafana dashboards, and Splunk for logging.; Duration: Up to 3 hours; This hands-on lab has: 9 Lab steps
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABAdil Islam
Organizing Code Using Azure Repos in Azure DevOpsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Adil Islam; Difficulty: Beginner; Description: Level up your DevOps skills and learn how to use Azure Repos, part of the Azure DevOps suite, to version control your code in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: DevOps; This hands-on lab has: 6 Lab steps - HANDS-ON LABJun Fritz
Integrating Services with an AWS Step Functions State MachineIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to integrate AWS service API calls directly into your AWS Step Functions state machine in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Development; This hands-on lab has: 5 Lab steps - LAB CHALLENGEAndrew Burchill
Amazon DynamoDB and AWS Lambda ChallengeBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Prove your Amazon DynamoDB and AWS Lambda skills in this hands-on laboratory challenge and test your ability to create and configure a DynamoDB table.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps - COURSEDaniel Mease
Google Cloud Pub/Sub - Advanced TopicsAdvancedDuration: 44 minutes and 57 secondsAuthor: Daniel Mease; Difficulty: Advanced; Duration: 44 minutes and 57 seconds; Content Topics: Google Cloud Platform; This course has: 9 Units - COURSECalculated Systems
Building Chatbots with Google Dialogflow: Part 1IntermediateDuration: 37 minutes and 44 secondsAuthor: Calculated Systems; Difficulty: Intermediate; Duration: 37 minutes and 44 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - LEARNING PATHJun Fritz
UPDATEDThe Infrastructure Developer's Guide to Terraform: GCP EditionBeginnerDuration: Up to 10 hours and 30 minutesAuthor: Jun Fritz; Type: updated learning path; Difficulty: Beginner; Description: Learn how to manage Google Cloud Platform infrastructure using Terraform, the most popular infrastructure-as-code tool in the DevOps toolbelt.; Duration: Up to 10 hours and 30 minutes; Content Topics: Deployment, DevOps; This learning path has: 1 Simulab, 14 Hands-on labs - LEARNING PATHDaniel Mease
Google Cloud Platform Technical EssentialsIntermediateDuration: Up to 19 hours and 31 minutesAuthor: Daniel Mease; Difficulty: Intermediate; Description: Everything you need to get started building products and services on Google Cloud Platform.; Duration: Up to 19 hours and 31 minutes; Content Topics: Google Cloud Platform; This learning path has: 13 Courses, 4 Exams, 8 Hands-on labs - HANDS-ON LABCalculated Systems
Evaluating Model Predictions for Regression ModelsIntermediateDuration: Up to 43 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Evaluating Binary Classification ModelsIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Testing Your Models in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps - HANDS-ON LABLogan Rakai
Deploy Container Workloads with Amazon LightsailBeginnerDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Beginner; Description: Use Lightsail containers to deploy a container workload and monitor it in this lab.; Duration: Up to 1 hour; Content Topics: Compute; This hands-on lab has: 5 Lab steps - HANDS-ON LABLuke OrellanaBuilding Azure ML Pipelines using the Azure Machine Learning SDKIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Luke Orellana; Difficulty: Intermediate; Description: In this lab, use Azure's Machine Learning SDK to build an ML Pipeline to train and deploy a model.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps
- HANDS-ON LABLogan Rakai
Practice Effective DevOps with Azure DevOpsIntermediateDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Intermediate; Description: Learn how to use Azure Boards, Azure Repos, and Azure Pipelines to practice effective DevOps in this lab.; Duration: Up to 2 hours; Content Topics: DevOps; This hands-on lab has: 7 Lab steps - HANDS-ON LABMatt MartinezIntegrating Azure Bots with Azure AI ServicesBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Matt Martinez; Difficulty: Beginner; Description: Learn to deploy powerful bots in Azure by integrating Azure Bot Services with Azure AI Services API to create and serve intelligent bots.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps
- HANDS-ON LABJeremy Cook
OpenShift - Build and Deploy a Simple Web ApplicationBeginnerDuration: Up to 2 hoursAuthor: Jeremy Cook; Difficulty: Beginner; Description: In this Lab scenario, you'll first use S2I to create a basic builder container image. The builder container image will then be used to build a runtime container image containing a simple static web portal application frontend. You'll then use the oc tool to launch and expose the containerized web portal application.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 7 Lab steps - HANDS-ON LABJeremy Cook
Create Kubernetes Nginx Ingress Controller for External API TrafficIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: In this lab, you'll learn how to deploy an Nginx Ingress Controller and install and expose a sample API service using an Ingress resource.; Duration: Up to 1 hour and 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 8 Lab steps - HANDS-ON LABAndrew Burchill
Using Aurora RDS With an Amazon Bedrock Knowledge BaseBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to configure a custom vector store for use with an Amazon Bedrock Knowledge Base in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Security, Artificial Intelligence, Databases; This hands-on lab has: 5 Lab steps - HANDS-ON LABJeremy Cook
Coding with Java StreamsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: This lab is designed to deepen your Java Streams knowledge.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps - HANDS-ON LABStefano Cascavilla
Use AWS Lambda Custom Runtimes to Run Bash CommandsBeginnerDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Beginner; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps - HANDS-ON LABParveen Singh
Exploring Azure Question Answering Service (QnA Maker)IntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use the Azure Question Answering Service (QnA Maker) to create a knowledge base and integrate it with a chatbot.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Introduction to GitBeginnerDuration: Up to 2 hours and 30 minutesAuthor: Ben Lambert; Difficulty: Beginner; Description: Git has become the distributed database that facilitates DevOps. Learn to use the world's most popular version control system in this hands-on lab.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development, DevOps; This hands-on lab has: 10 Lab steps - HANDS-ON LABAndrew Burchill
Configuring Access to AWS KMS KeysBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to allow and restrict access to AWS KMS keys using key policies and grants in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps - HANDS-ON LABAndrew Burchill
Routing Amazon VPC Traffic Through a Network ApplianceBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to route incoming public internet traffic through a network appliance in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Networking, Security, Compute; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrew Burchill
Processing Streaming Metadata using Amazon Kinesis Data StreamsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Kinesis Data Streams with Amazon API Gateway and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps