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
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 - Training and Fine Tuning
Intermediate
Duration: Up to 2 hours and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore language model training and fine-tuning in this hands-on lab environment.; Duration: Up to 2 hours 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
Text Analysis and LLMs - Overview
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Explore an overview of language models 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
Andrew Burchill
Deploying Large Language Models Using Ray Serve
Beginner
Duration: Up to 1 hour and 30 minutes
Author: 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 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
Ben Lambert
Git Reflog
Advanced
Duration: Up to 1 hour
Author: Ben Lambert; Difficulty: Advanced; Description: Git reflog can recover lost commits, branches, and changes. Explore the 'git reflog' command with this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Ben Lambert
Undoing Changes in Different States of Git
Intermediate
Duration: Up to 1 hour
Author: Ben Lambert; Difficulty: Intermediate; Description: Git includes multiple commands for undoing changes, depending on the situation. This hands-on lab covers the reset and revert commands.; Duration: Up to 1 hour; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Andrew Burchill
Auto scaling and testing an Amazon ECS deployment
Beginner
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS CLI to configure auto scaling for an Amazon ECS deployment 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
Monitoring Amazon ECS Resources With Amazon CloudWatch
Intermediate
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to monitor and react to AWS ECS metrics using Amazon CloudWatch container insights in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Jun Fritz
Configuring AWS Lambda Layers
Intermediate
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to configure and share AWS Lambda layers in the AWS console and with the AWS SAM CLI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Ben Lambert
Python: Exceptions
Intermediate
Duration: Up to 2 hours
Author: Ben Lambert; Difficulty: Intermediate; Description: Understanding how to handle exceptions is an essential aspect of Python development. Learn how to create, handle, and raise exceptions in Python through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Ben Lambert
Python: Lambda Functions
Advanced
Duration: Up to 1 hour
Author: Ben Lambert; Difficulty: Advanced; Description: The Python language syntax includes rules for anonymous functions named: lambda functions. Learn lambda functions through hands-on examples and a chance to practice what you've learned.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Troubleshooting Terraform Environments
Beginner
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to troubleshoot, debug, and remediate failed Terraform environments and undesired resource configurations in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Defining and Working With dbt Tests
Advanced
Duration: Up to 1 hour and 15 minutes
Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will understand what are dbt tests. You will then create a custom test, and test your sources and a model both with native dbt tests and with the custom dbt test.; 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
Ben Lambert
Python: Introduction to SQLAlchemy
Advanced
Duration: Up to 2 hours
Author: Ben Lambert; Difficulty: Advanced; Description: SQLAlchemy is a module designed to provide better developer ergonomics for database access and interactions. Learn how to interact with relational databases in Python with SQLAlchemy.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Adil Islam
Deploying a Webapp to Azure App Service Using Git Locally
Beginner
Duration: Up to 45 minutes
Author: Adil Islam; Difficulty: Beginner; Description: Learn how to deploy a webapp to Azure App service locally using Git in this hands-on lab!; Duration: Up to 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Working With Incremental dbt Models
Beginner
Duration: Up to 1 hour
Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand what are incremental dbt models, and you will create two models by using the incremental materialization type.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Jun Fritz
Importing AWS CloudFormation Templates into the AWS CDK
Intermediate
Duration: Up to 30 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to import an existing AWS CloudFormation template into an AWS CDK application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Jun Fritz
Allocating Resource Attributes with AWS CDK Tokens
Intermediate
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how the AWS CDK allocates and resolves dynamic resource attributes using tokens 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
Stefano Cascavilla
Create and Execute Your First dbt Models
Beginner
Duration: Up to 1 hour
Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create your first dbt models. You will create a model starting from the dbt sources, and you will create another one starting from the existing model. You will then execute and materialize them in the PostgreSQL database.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps