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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COURSE
NEW
Staying current and getting the most from your models
Intermediate
Duration: 11 minutes and 7 seconds
Type: new course; Difficulty: Intermediate; Duration: 11 minutes and 7 seconds; This course has: 6 Units
COURSE
NEW
Evaluating AI model providers with confidence
Intermediate
Duration: 15 minutes and 37 seconds
Type: new course; Difficulty: Intermediate; Duration: 15 minutes and 37 seconds; This course has: 7 Units
COURSE
NEW
Overview of LLM providers
Intermediate
Duration: 6 minutes and 51 seconds
Type: new course; Difficulty: Intermediate; Duration: 6 minutes and 51 seconds; This course has: 4 Units

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LEARNING PATH
Danny Jessee
Understanding AWS Storage Services
Beginner
Duration: Up to 23 hours and 17 minutes
Author: Danny Jessee; Difficulty: Beginner; Description: This course will help you understand the different AWS storage services including S3, EBS, EFS, and FSx, and how to use them within your environment.; Duration: Up to 23 hours and 17 minutes; Content Topics: Storage; This learning path has: 18 Courses, 2 Lab challenges, 2 Exams, 9 Hands-on labs
HANDS-ON LAB
Stefano Cascavilla
Using Cloud Firestore in Datastore Mode as a NoSQL Database
Beginner
Duration: Up to 35 minutes
Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will start using Cloud Firestore in Datastore mode as your NoSQL database. You will work with entities, keys, and properties.; Duration: Up to 35 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Ana Rojo Echeburua
A Practical Introduction to Language Models
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 2 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
Parveen Singh
Building Generative Search Application using Azure AI Search and OpenAI
Advanced
Duration: Up to 1 hour
Author: Parveen Singh; Difficulty: Advanced; Description: Learn how to work with Azure AI Search and OpenAI to build a generative search application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 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
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
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
Jun Fritz
Managing Secrets With Terraform and AWS Secrets Manager
Intermediate
Duration: Up to 30 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to manage secrets in your infrastructure-as-code using Terraform and AWS Secrets Manager.; Duration: Up to 30 minutes; Content Topics: Security, Deployment; This hands-on lab has: 1 Lab step
HANDS-ON LAB
Jun Fritz
Managing Tasks With Amazon EventBridge Scheduler
Beginner
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, run, and manage scheduled tasks at scale with Amazon EventBridge Scheduler 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
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
Jun Fritz
Provisioning an Amazon ECS Cluster Using Terraform
Intermediate
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy an Amazon ECS cluster into an existing Amazon VPC using Terraform 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
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
Ben Lambert
Docker: Exploring the Dockerfile
Intermediate
Duration: Up to 3 hours
Author: Ben Lambert; Difficulty: Intermediate; Description: Gaining a mastery of Docker starts with the Dockerfile. Creating and maintaining Dockerfiles requires an understanding of the supported instructions. This hands-on lab explores the structure and usage of Dockerfiles.; Duration: Up to 3 hours; Content Topics: Containers; This hands-on lab has: 11 Lab steps
HANDS-ON LAB
Ben Lambert
Docker: Building Services
Intermediate
Duration: Up to 2 hours
Author: Ben Lambert; Difficulty: Intermediate; Description: Gain further insights into Docker Engine by creating a multi-container service without Compose. This hands-on lab steps through the creation of a three container web application.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 5 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
LAB CHALLENGE
Andrew Burchill
Amazon API Gateway REST Challenge
Beginner
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Beginner; Description: Test your Amazon API Gateway skills as you are tasked with setting up a new REST API in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Configure a dbt Profile and Define Sources
Beginner
Duration: Up to 40 minutes
Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will configure a dbt profile to connect to a PostgreSQL database, and you will define sources to be used in a dbt project.; Duration: Up to 40 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 4 Lab steps