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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.
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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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Search results 1297 - 1320 of 3616Learn smarter with Smart Skills!
Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABPaul Thomas
SRE MonitoringBeginnerDuration: Up to 4 hoursAuthor: Paul Thomas; 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. The process will take you through setting up the servers, installing the tooling and writing sample code. When the code runs (and fails) you will track that activity in the appropriate dashboards to assist you in your future troubleshooting.; Duration: Up to 4 hours; Content Topics: Site Reliability; This hands-on lab has: 10 Lab steps - HANDS-ON LABQA
Test Case Generation with AI AssistanceIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
AI-Powered Code ReviewsIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABParveen Singh
Automating File Processing with Azure Functions and Storage Blob TriggersAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to use Azure Functions and Storage Blob Triggers to automate file processing in Azure Blob Storage in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Developing Prompts With Amazon Bedrock Prompt ManagementBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Working With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Developing Chains and Runnables With the LangChain Expression Language (LCEL)BeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Formatting Large Language Model Inputs With LangChain Prompt TemplatesBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABJeremy Cook
Configuring ECS Tasks with EBS Block Storage VolumesIntermediateDuration: Up to 1 hourAuthor: Jeremy Cook; Difficulty: Intermediate; Description: In this hands-on lab, participants will learn how to configure Amazon Elastic Container Service (ECS) tasks to use Amazon Elastic Block Store (EBS) to provide block storage-based storage volumes.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps - COURSEIntroductionIntermediateDuration: 2 minutesDifficulty: Intermediate; Duration: 2 minutes; This course has: 2 Units
- HANDS-ON LABJeremy Cook
AWS Serverless X-Ray Logging and MonitoringIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: Serverless X-Ray Logging and Monitoring; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps - LEARNING PATHThomas Mitchell
UPDATEDNetworking and Interconnectivity for MulticloudIntermediateDuration: Up to 3 hours and 46 minutesAuthor: Thomas Mitchell; Type: updated learning path; Difficulty: Intermediate; Description: Learn to design, secure, and optimize multicloud networks across AWS and Azure using native tools, VPNs, load balancers, and SD-WAN solutions.; Duration: Up to 3 hours and 46 minutes; Content Topics: Networking; This learning path has: 5 Courses, 1 Hands-on lab - LEARNING PATHDanny Jessee
AWS WAF - Security Pillar SEC 8 - How do you protect your data at rest?AdvancedDuration: Up to 12 hours and 13 minutesAuthor: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 8 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 12 hours and 13 minutes; Content Topics: Amazon Web Services; This learning path has: 14 Courses, 5 Hands-on labs - LEARNING PATHStuart Scott
AWS WAF - Security Pillar SEC 5 - How do you protect your network resources?AdvancedDuration: Up to 30 hours and 18 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 5 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 30 hours and 18 minutes; Content Topics: Networking, Development, Security, Management, Content Delivery Networking; This learning path has: 21 Courses, 1 Lab challenge, 15 Hands-on labs - LEARNING PATHStuart Scott
AWS WAF - Security Pillar SEC 3 - How do you manage permissions for people and machines?AdvancedDuration: Up to 16 hours and 54 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 3 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 16 hours and 54 minutes; Content Topics: Amazon Web Services; This learning path has: 17 Courses, 6 Hands-on labs - SIMULABJun Fritz
AWS SRE Incident Response SimuLabDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: A well-intentioned security rule has caused a partial outage. Balance protection and availability to bring the application back online.; Duration: Up to 1 hour; This simulab has: 1 Lab step - HANDS-ON LABJun Fritz
Observability & Monitoring for Azure AI Agents Using Application Insights and Log AnalyticsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Create an AI agent using Microsoft Foundry Agent Service and implement observability and monitoring solutions using Application Insights and Log Analytics.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABPaul Thomas
Enhancing Agents with Azure AI ServicesBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Paul Thomas; Difficulty: Beginner; Description: In this hands-on lab, you’ll create an Azure AI Foundry Agent that accepts a multilingual customer complaint, detects language, extracts key phrases, and summarizes an issue; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 6 Lab steps - SIMULABJun Fritz
Deploying a Google Compute Engine Instance with Terraform SimuLabDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Complete a series of tasks to configure and deploy a Google Compute Engine virtual machine instance in a simulated lab environment.; Duration: Up to 1 hour and 30 minutes; Content Topics: Google Cloud Platform; This simulab has: 1 Lab step - HANDS-ON LABParveen Singh
Compute and Serverless Resource Orchestration in AzureIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to optimize your Azure compute and serverless resources in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Serverless; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Creating ACR Repositories using Azure Container Registry TasksIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create ACR repositories using Azure Container Registry Tasks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - LAB CHALLENGEMark Secrist
Python Challenge - TDD Bulk DiscountingBeginnerDuration: Up to 2 hours and 7 minutesAuthor: Mark Secrist; Difficulty: Beginner; Description: Using Test Driven Development (TDD) practices, complete a partially provided Python solution, being guided by a set of given Python unit tests. Specifically, you must complete the implementation of a function that calculates the volume discounts for an ecommerce platform, ensuring that the solution passes the provided set of unit tests.; Duration: Up to 2 hours and 7 minutes; Content Topics: Test Driven Development (TDD); This lab challenge has: 2 Lab steps - HANDS-ON LABJeremy Cook
Configuring ECS Tasks with EFS Shared StorageIntermediateDuration: Up to 1 hourAuthor: Jeremy Cook; Difficulty: Intermediate; Description: In this hands-on lab, participants will learn how to configure Amazon Elastic Container Service (ECS) tasks to use Amazon Elastic File System (EFS) as shared storage.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps - HANDS-ON LABJun Fritz
Detecting Problems With Amazon CloudWatch Application InsightsBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to use Amazon CloudWatch Application Insights to detect problems with your applications and troubleshoot issues in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon CloudWatch; This hands-on lab has: 3 Lab steps