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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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
QA
Session 3: Lab 3 - Write unit tests in Java
Beginner
Duration: Up to 1 hour and 30 minutes
Author: QA; Difficulty: Beginner; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 5 Lab steps
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
Leveraging the Yahoo Finance API to Retrieve and Visualize Financial Data
Beginner
Duration: Up to 1 hour
Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will leverage the Yahoo Finance API using the yfinance Python library, and you will visualize the market data using the plotly Python library.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 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
QA
AI-Powered Code Reviews
Intermediate
Duration: Up to 40 minutes
Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; 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
HANDS-ON LAB
Jun Fritz
Implementing Conversational Memory Using LangChain and Amazon DynamoDB
Intermediate
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB 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
Jun Fritz
Formatting Large Language Model Inputs With LangChain Prompt Templates
Beginner
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
LAB CHALLENGE
Jun Fritz
Amazon S3 Replication Challenge
Intermediate
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Intermediate; Description: Demonstrate your ability to replicate objects between source and destination S3 buckets in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Storage; This lab challenge has: 1 Lab step
HANDS-ON LAB
Jun Fritz
Improving Data Resiliency With Amazon S3 Cross-Region Replication
Beginner
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to replicate Amazon S3 objects across AWS regions to improve data resiliency in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Migrating a PostgreSQL Database With Minimal Downtime Using AWS DMS and Route53
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to migrate an existing PostgreSQL database from EC2 to RDS with minimal downtime using AWS Database Migration Service and Route53 in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Migration, Networking, Compute, Databases, Content Delivery Networking; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Jun Fritz
Connecting to Private EC2 Instances Using an Amazon EC2 Instance Connect Endpoint
Intermediate
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to securely connect to private EC2 instances with an Amazon EC2 Instance Connect endpoint in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Networking, Security, Compute; This hands-on lab has: 6 Lab steps
HANDS-ON LAB
Jun Fritz
Securing an AWS AppSync API With Amazon Cognito
Intermediate
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to secure an AWS AppSync API using Amazon Cognito User Pools in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps