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- HANDS-ON LABJun Fritz
NEWFrom Code to Intent: Build Your First Kiro WorkflowBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Type: new hands-on lab; Difficulty: Beginner; Description: Learn how to use AWS Kiro's spec-driven workflow to build and deploy a serverless application on AWS, transforming plain language intent into production-ready code in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - COURSENEWGrounding, accuracy, and strategic integrationAdvancedDuration: 13 minutes and 51 secondsType: new course; Difficulty: Advanced; Duration: 13 minutes and 51 seconds; This course has: 7 Units
- COURSENEWPersonal AI assistants and advanced prompting patternsAdvancedDuration: 10 minutes and 19 secondsType: new course; Difficulty: Advanced; Duration: 10 minutes and 19 seconds; This course has: 6 Units
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABLogan Rakai
Creating a Central Authorization Layer using Cloud IAPIntermediateDuration: Up to 45 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you will be securing your application using Cloud Identity Aware Proxy.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps - HANDS-ON LABJun Fritz
Passing Outputs Between Terraform Modules with Terragrunt in GCPAdvancedDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Advanced; Description: Learn how to pass Google Cloud Platform resource outputs between Terraform modules with Terragrunt in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABAdil Islam
Creating Knowledge Bases using Azure DevOps WikiBeginnerDuration: Up to 45 minutesAuthor: Adil Islam; Difficulty: Beginner; Description: Learn how to create knowledge bases and share information to enable collaboration using Azure DevOps Wiki, part of the Azure DevOps suite, in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: DevOps; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Centralizing Remote State with Terragrunt in GCPAdvancedDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Advanced; Description: Learn how to configure and manage Terraform remote state for your Google Cloud Platform infrastructure with Terragrunt in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Optimizing Terraform Configurations with Loops in GCPIntermediateDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to optimize your Google Cloud Platform infrastructure with Terraform's built-in iteration options in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Working with Terraform Conditional Expressions in GCPIntermediateDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Incorporate decision-making into your Google Cloud Platform infrastructure in the form of Terraform conditional expressions in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Importing Existing Infrastructure into Terraform with GCPBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to import existing Google Cloud Platform resources into your Terraform projects in this hands-on lab.; Duration: Up to 45 minutes; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Working with Terraform Remote State in GCPBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Configure and utilize Terraform remote state to manage your Google Cloud Platform infrastructure in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Understanding Terraform State with GCPBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Develop an understanding of Terraform state and how your Google Cloud Platform resources are managed in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Working with Terraform Provisioners in GCPBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to define provisioners in a Terraform configuration to aid in the deployment of Google Cloud Platform resources in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Understanding Data Events using Azure Event HubsBeginnerDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Beginner; Description: Understand data events by sending and receiving events using Azure Event Hubs in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps - HANDS-ON LABRebecca Hom
Working with Semantic HTMLBeginnerDuration: Up to 45 minutesAuthor: Rebecca Hom; Difficulty: Beginner; Description: In this lab, you will be working with JavaScript objects. Objects are key-value paired data collections.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 7 Lab steps - LAB CHALLENGELogan Rakai
BigQuery Data ChallengeIntermediateDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab challenge you need to use BigQuery to answer questions by leveraging data and the Structured Query Language (SQL).; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This lab challenge has: 2 Lab steps - HANDS-ON LABRebecca Hom
Working With HTML Text ElementsBeginnerDuration: Up to 45 minutesAuthor: Rebecca Hom; Difficulty: Beginner; Description: In this lab, you will be working with the HTML text elements. You will create the elements that will form the text content of a webpage.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 7 Lab steps - HANDS-ON LABAdil Islam
Real-time Azure Bicep Template Conversion PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Adil Islam; Difficulty: Beginner; Description: Practice your Azure Bicep skills in this side-by-side development playground where you can see your changes in real-time!; Duration: Up to 4 hours; Content Topics: Microsoft Azure; This hands-on lab has: 2 Lab steps - LAB CHALLENGEAdil Islam
Converting ARM Templates to Azure Bicep ChallengeIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Adil Islam; Difficulty: Intermediate; Description: Test your Infrastructure-as-Code skills by converting an ARM template to an Azure Bicep template with this hands-on lab challenge.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This lab challenge has: 2 Lab steps - HANDS-ON LABDavid Bedford
Load Balancing (Standard Load Balancer)BeginnerDuration: Up to 2 hours and 47 minutesAuthor: David Bedford; Difficulty: Beginner; Description: Learn how to provision a standard load balancer, create a backend pool, create a health probe, create a load balance rule, test connectivity, create a new virtual machine from the portal, and add a virtual machine to an existing load balancer.; Duration: Up to 2 hours and 47 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps - LAB CHALLENGEParveen Singh
Azure Front Door ChallengeIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Parveen Singh; Difficulty: Intermediate; Description: Put your Azure Front Door skills to test in this hands-on lab challenge using a real Azure environment.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This lab challenge has: 2 Lab steps - LAB CHALLENGEAndrea Giussani
Data Science with Python - Basic ConceptsIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Description: In this Lab, you will be challenged on your knowledge on Python for Data Science, in particular on three important aspects: Programming, Data Management and Visualization. The idea is to test your ability to deal with standard data science requests.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Configuring Systems and Tools Using YAMLBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to configure systems and tools as you work practically with YAML in an integrated development environment.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Reading, Writing, and Parsing YAML FilesBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to read, write data in a YAML file and parse it with the Python scripting language in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun Fritz
Accessing Amazon DynamoDB Using Amazon API Gateway Service ProxyIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to interact with Amazon DynamoDB directly using Amazon API Gateway service integrations in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrea Giussani
Data Visualization with BokehBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this lab, you will master Bokeh to perform data visualization with Python.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - COURSEPrioritizing AI projectsIntermediateDuration: 17 minutes and 37 secondsDifficulty: Intermediate; Duration: 17 minutes and 37 seconds; This course has: 5 Units