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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 LABPaul Thomas
NEWIntroduction to Agentic AI on Google CloudBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Paul Thomas; Type: new hands-on lab; Difficulty: Beginner; Description: Introduction to Agentic AI on the Google Cloud Platform using Vertex AI Studio and Agent Designer.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps - COURSENEWAI GuardrailsBeginnerDuration: 16 minutes and 35 secondsType: new course; Difficulty: Beginner; Duration: 16 minutes and 35 seconds; This course has: 10 Units
- COURSENEWEthics, risk, and responsibilityBeginnerDuration: 11 minutes and 36 secondsType: new course; Difficulty: Beginner; Duration: 11 minutes and 36 seconds; This course has: 4 Units
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABStefano Cascavilla
Define and Handle Routes in ExpressJS ApplicationsBeginnerDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand how routes can be handled in ExpressJS, and you will create some routes and a router to handle multiples routes.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 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 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
A practical introduction to language modelsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 2 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 LABAna Rojo Echeburua
Equipping Agents with ToolsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 5 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 LABAna Rojo Echeburua
Working with Multiple AgentsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 4 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 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 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 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 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
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
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 - HANDS-ON LABJun Fritz
Getting Started With Amazon Q Developer and AWS LambdaBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to enable and utilize Amazon Q Developer to improve your AWS Lambda functions in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps - HANDS-ON LABLogan Rakai
Introduction to the OpenAI Chat Completions APIBeginnerDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to use the OpenAI Chat completions API to generate text in this lab.; Duration: Up to 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABJun Fritz
Managing Secrets With Terraform and AWS Secrets ManagerIntermediateDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to manage secrets in your infrastructure-as-code using Terraform and AWS Secrets Manager.; Duration: Up to 30 minutes; Content Topics: Security, Deployment; This hands-on lab has: 1 Lab step - HANDS-ON LABParveen Singh
Handling Azure Storage Account Blob Changes With Azure Logic App WorkflowIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to handle Azure Storage Account Blob changes with Azure Logic App workflow in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Storage; This hands-on lab has: 3 Lab steps