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Search results 865 - 888 of 1856Category: Cloud Platforms
- HANDS-ON LABJun Fritz
Configuring Redirects for a Static Website Hosted on Amazon S3IntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to redirect static website requests from one Amazon S3 bucket to another and configure conditional routing rules in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 4 Lab steps - LAB CHALLENGEParveen Singh
Azure Data Factory Monitoring ChallengeIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Put your Azure Data Factory Monitoring skills to the test in this hands-on lab challenge using a real Azure environment.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This lab challenge has: 2 Lab steps - HANDS-ON LABJun Fritz
Configuring an AWS Lambda Target on an Application Load BalancerIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to configure an AWS Lambda function as a target for an Application Load Balancer 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 LABStefano Cascavilla
Using Cloud Firestore in Datastore Mode as a NoSQL DatabaseBeginnerDuration: Up to 35 minutesAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will start using Cloud Firestore in Datastore mode as your NoSQL database. You will work with entities, keys, and properties.; Duration: Up to 35 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps - HANDS-ON LABStefano Cascavilla
Deploy a MongoDB Solution With Amazon DocumentDBBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will deploy an Amazon DocumentDB cluster, and you will connect to it to perform some DB operations using the mongo shell.; Duration: Up to 1 hour; Content Topics: Databases; This hands-on lab has: 7 Lab steps - HANDS-ON LABStefano Cascavilla
Google Cloud Memorystore PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Google Cloud Memorystore skills in a free-rein, empty GCP environment by creating Redis and Memcached clusters in any way you see fit!; Duration: Up to 4 hours; Content Topics: NoSQL; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
AWS Cloud9 Terminal and Editor PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Andrew Burchill; Difficulty: Beginner; Description: Explore the hosted AWS Cloud9 integrated development environment in this hands-on playground lab.; Duration: Up to 4 hours; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps - 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 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 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 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 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
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 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 LABJun Fritz
Orchestrating Generative AI Applications With AWS Step Functions and Amazon BedrockIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to perform AI prompt-chaining and integrate Amazon Bedrock with AWS Step Functions in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Development, 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 LABAndrew Burchill
Using IAM Roles Anywhere to Access Resources From Outside AWSBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to extend IAM roles and policies to non-AWS workloads in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 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