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.

New this month in our library

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

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LAB CHALLENGE
Logan Rakai
Python Challenge: Sublist
Beginner
Duration: Up to 25 minutes
Author: Logan Rakai; Difficulty: Beginner; Description: In this lab challenge, you will write code to determine the containment relationship between two lists.; Duration: Up to 25 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
LAB CHALLENGE
Logan Rakai
Python Challenge: Accumulate
Beginner
Duration: Up to 20 minutes
Author: Logan Rakai; Difficulty: Beginner; Description: Implement the accumulate operation, which, given a collection and an operation to perform on each element of the collection.; Duration: Up to 20 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
HANDS-ON LAB
Ed Wright
Developing Web Applications using HTML5
Intermediate
Duration: Up to 8 hours
Author: Ed Wright; Difficulty: Intermediate; Description: This lab takes developers with some experience of the core technologies into this brave new world whilst supporting the legacy technologies that many organizations must still support.; Duration: Up to 8 hours; Content Topics: Web; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Andrew Burchill
Developing An Application on AWS using Generative AI
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Generative AI to create a new application on AWS 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
LAB CHALLENGE
Andrew Burchill
Amazon S3 Security and Access Challenge
Intermediate
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Intermediate; Description: Put your Amazon Simple Storage Service (S3) skills to the test and secure a bucket in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage; This lab challenge has: 1 Lab step
HANDS-ON LAB
Jun Fritz
Configuring Redirects for a Static Website Hosted on Amazon S3
Intermediate
Duration: Up to 1 hour
Author: 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
HANDS-ON LAB
Jun Fritz
Configuring an AWS Lambda Target on an Application Load Balancer
Intermediate
Duration: Up to 1 hour
Author: 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 LAB
Jun Fritz
Building an Agentic AI Workflow with Amazon Bedrock and AWS Step Functions
Beginner
Duration: Up to 1 hour
Author: 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 LAB
Ana Rojo Echeburua
Text analysis and LLMs - transformer model architecture
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore transformer model architecture in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text Analysis and LLMs - Model Optimization
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model optimization and latency reduction in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text Analysis and LLMs - Evaluating, Deploying, and Observing Models
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model evaluation, deployment, and observation in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text Analysis and LLMs - Advanced Text Generation
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore advanced text generation tools and techniques in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Text Analysis and LLMs - Tokens and Embeddings
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore tokens and embeddings in this hands-on lab environment.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Ana Rojo Echeburua
Improving Agentic Systems with RAG & Prompt Engineering
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 7 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
Logan Rakai
Multicloud Networking: Securely Connecting Virtual Networks in AWS and Azure
Beginner
Duration: Up to 2 hours
Author: 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 LAB
Andrew Burchill
Implementing a RAG Pipeline With AWS Step Functions
Beginner
Duration: Up to 1 hour and 30 minutes
Author: 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 LAB
Andrew Burchill
Monitoring Data Quality Issues with Amazon SageMaker
Beginner
Duration: Up to 1 hour and 30 minutes
Author: 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 LAB
Parveen Singh
Ingesting and Transforming Data Using Azure Data Factory
Intermediate
Duration: Up to 45 minutes
Author: 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 LAB
Parveen Singh
Working with Azure AI Translator Service
Beginner
Duration: Up to 45 minutes
Author: 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 LAB
Jun Fritz
Orchestrating Generative AI Applications With AWS Step Functions and Amazon Bedrock
Intermediate
Duration: Up to 1 hour and 15 minutes
Author: 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 LAB
Jun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS Lambda
Intermediate
Duration: Up to 1 hour and 15 minutes
Author: 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 LAB
Andrew Burchill
Using IAM Roles Anywhere to Access Resources From Outside AWS
Beginner
Duration: Up to 1 hour and 30 minutes
Author: 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 LAB
Parveen Singh
Designing Network Topology Using Azure Network Manager
Intermediate
Duration: Up to 1 hour
Author: 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
HANDS-ON LAB
Parveen Singh
Creating a Language Understanding Model Using Azure Language Service
Advanced
Duration: Up to 1 hour
Author: 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