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- HANDS-ON LABLogan Rakai
NEWImplementing Policy as Code in Kubernetes With OPA GatekeeperAdvancedDuration: Up to 1 hourAuthor: Logan Rakai; Type: new hands-on lab; Difficulty: Advanced; Description: Learn how to implement policy as code in Kubernetes using OPA Gatekeeper, enabling you to enforce policies and ensure compliance in your Kubernetes clusters.; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps, Security; This hands-on lab has: 6 Lab steps - HANDS-ON LABJun Fritz
NEWReducing Amazon Bedrock Inference Costs with Amazon ElastiCacheIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Type: new hands-on lab; Difficulty: Intermediate; Description: Learn how to reduce Amazon Bedrock inference costs using Amazon ElastiCache for caching in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABQA
Live Lab QASREE-BL: Lab 5 DR Site creationBeginnerDuration: Up to 3 hoursAuthor: QA; 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
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABLogan Rakai
Securing Kubernetes Clusters using Authentication and AuthorizationAdvancedDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Advanced; Description: Practice defense in depth in Kubernetes including authentication and authorization; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrea Giussani
PySpark - PreprocessingBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this lab, you will learn how to create a dataset using the PySpark library, and to manipulate it using standard filtering and slicing techniques.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - 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 LABAdil Islam
Managing Workstreams Using Projects in Azure DevOpsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Adil Islam; Difficulty: Beginner; Description: Learn how to create a logical repository for source code and a place for users to plan, track progress, and collaborate on building software solutions to support different business units and manage multiple workstreams.; Duration: Up to 1 hour and 30 minutes; Content Topics: DevOps; This hands-on lab has: 3 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
Linux Terminal Playground (Red Hat)BeginnerDuration: Up to 4 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: Practice your Linux skills in this lab and get familiar with Red Hat Linux by accessing a long-running instance browser terminal.; Duration: Up to 4 hours; Content Topics: Operating System; This hands-on lab has: 2 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
Interconnecting Virtual Private Clouds with an AWS Transit GatewayIntermediateDuration: Up to 2 hoursAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Learn how to use an AWS Transit Gateway to provide egress to the public internet in this hands-on lab.; Duration: Up to 2 hours; Content Topics: Networking, Security; This hands-on lab has: 7 Lab steps - HANDS-ON LABQA
Azure AI SearchIntermediateDuration: Up to 1 hour and 30 minutesAuthor: QA; Difficulty: Intermediate; Description: Azure AI Search; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 6 Lab steps - LAB CHALLENGEAndrew Burchill
AWS CodeDeploy ChallengeBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Put your AWS CodePipeline and CodeDeploy skills to the test as you modify and improve and a pipeline that deploys an AWS Lambda backed API.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps - LAB CHALLENGEMatt MartinezAWS Developer Tools ChallengeAdvancedDuration: Up to 1 hour and 30 minutesAuthor: Matt Martinez; Difficulty: Advanced; Description: In this lab challenge, you'll need to complete several tasks using an existing continuous deployment stack built on AWS Developer Tools.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps
- HANDS-ON LABLogan Rakai
Cross-account access in AWSIntermediateDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Intermediate; Description: Learn first-hand about cross-account access in AWS in this lab.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 10 Lab steps - HANDS-ON LABParveen Singh
Manage, Monitor, and Secure Azure AI ServicesIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn to manage, monitor, and secure Azure AI services using best practices and Azure tools.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABBen Lambert
Python: Simple Guessing GameBeginnerDuration: Up to 45 minutesAuthor: Ben Lambert; Difficulty: Beginner; Description: Build your Python skills by creating a basic console based guessing game. Combine Python's language fundamentals to build a game that prompts player's to guess a number between 1 and 20.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABBen Lambert
Python: PalindromeBeginnerDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Beginner; Description: Challenge your knowledge of Python by implementing functions used to check words and phrases for palindromes.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 4 Lab steps - HANDS-ON LABQA
AI Engineer L6 M1 Workshop Day 1 LabIntermediateDuration: Up to 7 hoursAuthor: QA; Difficulty: Intermediate; Description: AI Engineer L6 M1 Workshop Day 1 Lab; Duration: Up to 7 hours; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Monitoring Data Quality Issues with Amazon SageMakerBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Working with Azure AI Translator ServiceBeginnerDuration: Up to 45 minutesAuthor: Parveen Singh; Difficulty: Beginner; Description: Learn how to create an Azure AI Translators service using the Azure Portal in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABParveen Singh
Creating a Language Understanding Model Using Azure Language ServiceAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to create a language understanding model that can be used to classify text into categories using Azure Language Service.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 5 Lab steps - 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 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 - 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