Training Library

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 LAB
Jun Fritz
From Code to Intent: Build Your First Kiro Workflow
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Jun Fritz; 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
COURSE
Grounding, accuracy, and strategic integration
Advanced
Duration: 13 minutes and 51 seconds
Difficulty: Advanced; Duration: 13 minutes and 51 seconds; This course has: 7 Units
COURSE
Personal AI assistants and advanced prompting patterns
Advanced
Duration: 10 minutes and 19 seconds
Difficulty: Advanced; Duration: 10 minutes and 19 seconds; This course has: 6 Units

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LAB CHALLENGE
Jeremy Cook
Java Challenge: TDD Sphere Volume Calculator
Beginner
Duration: Up to 1 hour
Author: Jeremy Cook; Difficulty: Beginner; Description: In this challenge, you will complete a Java implementation being guided by existing JUnit5 tests (TDD).; Duration: Up to 1 hour; Content Topics: Test Driven Development (TDD); This lab challenge has: 2 Lab steps
HANDS-ON LAB
Ana Rojo Echeburua
Working with Multiple Agents
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: 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 LAB
Ana Rojo Echeburua
Building Single Agent Systems
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 3 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 LAB
Andrew Burchill
Accelerating SageMaker Training With HyperParameter Tuning
Beginner
Duration: Up to 1 hour and 30 minutes
Author: 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
HANDS-ON LAB
Logan Rakai
Upgrade a Kubernetes Cluster With Kubeadm
Intermediate
Duration: Up to 1 hour
Author: Logan Rakai; Difficulty: Intermediate; Description: Learn how to perform a full upgrade of a Kubernetes cluster in this lab.; Duration: Up to 1 hour; Content Topics: Containers; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Jun Fritz
Getting Started With Amazon Q Developer and AWS Lambda
Beginner
Duration: Up to 45 minutes
Author: 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 LAB
Ben Lambert
Git Stash
Intermediate
Duration: Up to 1 hour
Author: Ben Lambert; Difficulty: Intermediate; Description: Git stash is a useful feature for temporarily saving changes that are not ready to be committed. Explore the git stash command with this hands-on lab.; Duration: Up to 1 hour; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Jeremy Cook
CKA Practice Exam - Services and Networking
Intermediate
Duration: Up to 1 hour
Author: Jeremy Cook; Difficulty: Intermediate; Description: Prepare for the Services and Neworking domain of the Certified Kubernetes Administrator (CKA) exam in this lab with exam-like tasks and a solution guide.; Duration: Up to 1 hour; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Parveen Singh
Getting Started with Azure App Configuration
Beginner
Duration: Up to 1 hour
Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to use the Azure App Configuration resource to centrally manage the application settings in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps
LEARNING PATH
Calculated Systems
UPDATED
Building Chatbots with Google Dialogflow
Intermediate
Duration: Up to 6 hours and 2 minutes
Author: Calculated Systems; Type: updated learning path; Difficulty: Intermediate; Description: This course provides an intro to the Dialogflow service and will get you up and running with building your own chatbots.; Duration: Up to 6 hours and 2 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs
HANDS-ON LAB
Calculated Systems
UPDATED
Creating a Weather Forecasting Chatbot with Dialogflow
Advanced
Duration: Up to 1 hour
Author: Calculated Systems; Type: updated hands-on lab; Difficulty: Advanced; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps
HANDS-ON LAB
Ana Rojo Echeburua
End of Course Building AI Agents Project
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 9 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 LAB
Ana Rojo Echeburua
Tracing, Observability, Monitoring & Evaluation in Agentic Systems
Intermediate
Duration: Up to 2 hours
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Learn about monitoring, observability, and evaluation in agentic AI systems using LangSmith and Tavily.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Building AI Agents for Good: Ethics, Risk, and Responsibility
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 6 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 LAB
Ben Lambert
Git Cherry Picking
Advanced
Duration: Up to 1 hour
Author: Ben Lambert; Difficulty: Advanced; Description: Cherry-picking is useful for applying bug fixes, feature enhancements, or specific changes from one branch to another without merging the entire branch. Learn to use git cherry-pick in this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 2 Lab steps
LAB CHALLENGE
Logan Rakai
Amazon ECS IAM Challenge
Intermediate
Duration: Up to 45 minutes
Author: Logan Rakai; Difficulty: Intermediate; Description: Apply your IAM knowledge to bring a hobbling application on Amazon ECS on AWS Fargate to fully operational status in this lab challenge.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step
HANDS-ON LAB
Stefano Cascavilla
Best Practices for Organizing dbt Models
Advanced
Duration: Up to 1 hour and 15 minutes
Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will define some dbt models and you will organize them following best practices in order to keep and maintain a clear dbt project.; Duration: Up to 1 hour and 15 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Leverage Template Engines With ExpressJS and Mustache
Intermediate
Duration: Up to 45 minutes
Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand how to implement template engines in ExpressJS, and you will define a simple Mustache template that will be rendered by your ExpressJS application.; Duration: Up to 45 minutes; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Integrating Middlewares in ExpressJS Applications
Intermediate
Duration: Up to 45 minutes
Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand the basics of ExpressJS middlewares, and you will create logic flow and integrate it as ExpressJS Middlewares; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
QA
Automating Documentation with AI
Intermediate
Duration: Up to 40 minutes
Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Andrew Burchill
Tracking Generative AI Usage With Amazon Bedrock Inference Profiles
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Building a Generative AI Workflow With Amazon Bedrock Flows
Beginner
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Developing Prompts With Amazon Bedrock Prompt Management
Beginner
Duration: Up to 30 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Andrew Burchill
Automating Code Reviews Using Generative AI
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 Lab steps