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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 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 LABJeremy Cook
Create an API with Go and Gorilla MuxIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: This lab shows you how to install and setup a Go-based development environment, allowing you to compile and execute your own Go-based applications.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 6 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 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 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 - HANDS-ON LABDavid Bedford
Azure Virtual Networks, Virtual Machines & Network Security GroupsBeginnerDuration: Up to 2 hours and 30 minutesAuthor: David Bedford; Difficulty: Beginner; Description: Virtual Networks, Virtual Machines, Network Security Groups; Duration: Up to 2 hours and 30 minutes; Content Topics: Networking; This hands-on lab has: 8 Lab steps - HANDS-ON LABJun Fritz
Streamlining Workflows and Tasks With Amazon Bedrock AgentsBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to configure, prepare, and test an Amazon Bedrock agent to perform functional and operational tasks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Moderating Content with Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to moderate textual content as a part of a content processing system 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 LABJun Fritz
Enhancing Generative AI Models With Retrieval-Augmented Generation (RAG)BeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how to enhance the accuracy of generative AI models 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 LABDaniel Wood
Backup and Restore a Kubernetes ClusterIntermediateDuration: Up to 40 minutesAuthor: Daniel Wood; Difficulty: Intermediate; Description: Perform a backup and restore cluster management operation of a Kubernetes cluster in this lab.; Duration: Up to 40 minutes; Content Topics: Containers; This hands-on lab has: 3 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 LABJun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS LambdaIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Managing Tasks With Amazon EventBridge SchedulerBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, run, and manage scheduled tasks at scale with Amazon EventBridge Scheduler in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Working with Azure AI Document Intelligence ServiceIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use Azure AI Document Intelligence Service to extract information from documents in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABJeremy Cook
Amazon EKS - Using the AWS Load Balancer Controller to Expose ApplicationsIntermediateDuration: Up to 2 hours and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: The AWS Load Balancer Controller is used to help manage and control the provisioning of ALBs (Ingress resources) and NLBs (Service resources - type LoadBalancer). You'll learn how to deploy the AWS Load Balancer Controller into EKS, and then deploy and publicly expose a Web app and TCP app within the cluster.; Duration: Up to 2 hours and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 12 Lab steps - HANDS-ON LABAndrew Burchill
Analyzing Sentiments and Entities in Text with Amazon ComprehendBeginnerDuration: Up to 50 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS's natural language processing service Amazon Comprehend in this hands-on laboratory.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Streamlining Amazon SageMaker Governance With Model CardsBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create a model card to document your Amazon SageMaker machine learning models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Optimizing Prompts For Large Language Models Using Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to engineer and develop prompts for large language models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Docker: Building Services With ComposeAdvancedDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Advanced; Description: Containers are increasingly becoming more ubiquitous across a range of industries. Compose simplifies the creation and management of container based applications. Learn more in this hands-on lab environment.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 7 Lab steps - HANDS-ON LABDave BedfordVirtual Network Peering, Private DNSBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Dave Bedford; Difficulty: Beginner; Description: Virtual Network Peering, Private DNS; Duration: Up to 1 hour and 30 minutes; Content Topics: Networking; This hands-on lab has: 6 Lab steps
- HANDS-ON LABJun Fritz
Leveraging Artificial Intelligence to Analyze Amazon CloudWatch LogsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to utilize natural language processing and machine learning to analyze Amazon CloudWatch Logs in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Accelerating SageMaker Training With HyperParameter TuningBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Automatic Model HyperParameter Tuning to accelerate machine learning model development in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps