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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 LABStefano Cascavilla
Creating a Network Storage Solution Using Google Cloud FilestoreBeginnerDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a Filestore instance, attach it to a GCE virtual machine, test it, and lastly, create a backup of the Filestore instance.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps - HANDS-ON LABCalculated Systems
Machine Learning and BigQuery GISIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab demonstrates how to perform a clustering analysis in BigQuery GIS using Python and Jupyter notebooks.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Implementing Exponential Backoff When Accessing Amazon S3BeginnerDuration: Up to 45 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see what happens when Amazon S3 issues error responses due to high request volumes, and you will learn how to handle this situation so your solutions continue to perform.; Duration: Up to 45 minutes; Content Topics: Development, Storage; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Using Python to Drive Insights in BigQueryBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: In this lab you will get started with BigQuery to analyze a large public dataset and use Python to drive insights from it.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps - HANDS-ON LABStefano Cascavilla
Managing Google Compute Engine Persistent DisksBeginnerDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a zonal persistent disk, attach it to a Compute Engine VM, and you will backup it creating a disk snapshot.; Duration: Up to 45 minutes; Content Topics: Storage; This hands-on lab has: 5 Lab steps - HANDS-ON LABLogan Rakai
Java Development PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: This Java development playground provides you with a ready-to-use in-browser Java integrated development environment (IDE) for you to easily play with Java.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Building an Agentic AI Workflow with Amazon Bedrock and AWS Step FunctionsBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to build an agentic AI workflow using Amazon Bedrock and AWS Step Functions to orchestrate tasks and manage interactions between AI models and external services.; Duration: Up to 1 hour; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps - HANDS-ON LABAna Rojo Echeburua
Text analysis and LLMs - transformer model architectureIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore transformer model architecture in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABAna Rojo Echeburua
Text Analysis and LLMs - Evaluating, Deploying, and Observing ModelsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model evaluation, deployment, and observation in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABAna Rojo Echeburua
Text Analysis and LLMs - Training and Fine TuningIntermediateDuration: Up to 2 hours and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model training and fine-tuning in this hands-on lab environment.; Duration: Up to 2 hours and 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABAna Rojo Echeburua
Text Analysis and LLMs - Tokens and EmbeddingsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore tokens and embeddings in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABAna Rojo Echeburua
Text Analysis and LLMs - OverviewIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore an overview of language models in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABAna Rojo Echeburua
Improving Agentic Systems with RAG & Prompt EngineeringIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 7 of the Building AI Agents course.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step - 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 LABLogan Rakai
Multicloud Networking: Securely Connecting Virtual Networks in AWS and AzureBeginnerDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to securely connect virtual networks in AWS and Azure in this multicloud lab.; Duration: Up to 2 hours; Content Topics: Networking; This hands-on lab has: 8 Lab steps - HANDS-ON LABAndrew Burchill
Implementing a RAG Pipeline With AWS Step FunctionsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement a RAG pipeline to support a knowledge base using AWS Step Functions 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 - HANDS-ON LABParveen Singh
Using Generative AI to Create Apps in Azure OpenAI ServiceAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: In this lab, you will use generative AI to create an app in Azure OpenAI Service.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Developing an ETL Job in AWS Glue StudioBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to develop an AWS Glue job using the AWS Glue visual ETL editor in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Analytics; This hands-on lab has: 4 Lab steps - HANDS-ON LABParveen Singh
Building Generative Search Application using Azure AI Search and OpenAIAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to work with Azure AI Search and OpenAI to build a generative search application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Ingesting and Transforming Data Using Azure Data FactoryIntermediateDuration: Up to 45 minutesAuthor: Parveen Singh; Difficulty: Intermediate; Description: In this lab, you will learn how to data cleansing, handling duplicates, managing missing data, and splitting data using Azure Data Factory.; Duration: Up to 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Deploying Large Language Models Using Ray ServeBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the scalable Ray Serve framework to performantly deploy a large language model in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABParveen Singh
Designing Network Topology Using Azure Network ManagerIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to design various network topologies using Azure Network Manager and deploy them in your Azure environment.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Centralizing Data Management With AWS Lake FormationBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Lake Formation and AWS Glue to manage permissions and dataset metadata for a data lake in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Analytics, Storage; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Continuously Detecting Vulnerabilities With Amazon InspectorBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: See how to activate and use Amazon Inspector to continuously detect vulnerabilities and exploits in your AWS workloads.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps