Training Library

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

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

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

Author: QA; Difficulty: Intermediate; Description: PowerBI Desktop for Business Users; Duration: Up to 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 2 Lab steps

Author: Daniel Wood; Difficulty: Intermediate; Description: Prepare for the Certified Kubernetes Administrator (CKA) exam by solving practice problems and reviewing their solutions in this lab on troubleshooting.; Duration: Up to 50 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Intermediate; Description: Put your Amazon Redshift skills to the test as you are tasked with setting distribution styles and controlling access in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step

Author: Ben Lambert; Difficulty: Beginner; Description: Build your Python skills by creating a basic console based guessing game. Combine Python's language fundamentals to build a game that prompts player's to guess a number between 1 and 20.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Jeremy Cook; Difficulty: Beginner; Description: The content in this course will teach you about the topic of Managing and Maintaining Networks for Operations to a Level 1.; Duration: Up to 7 hours and 20 minutes; Content Topics: Networking, Security; This learning path has: 6 Courses, 2 Hands-on labs

Author: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: Calculated Systems; Difficulty: Advanced; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps

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

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

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what dbt seeds are, you will create and use them, and will build a model based on a seed.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps

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

Author: Jun Fritz; Difficulty: Beginner; Description: Put your knowledge of AWS Glue to the test by configuring a data integration solution in this hands-on lab challenge.; Duration: Up to 45 minutes; Content Topics: Analytics; This lab challenge has: 1 Lab step

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to develop an AWS Glue job using the AWS Glue visual ETL editor in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Analytics; This hands-on lab has: 4 Lab steps

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

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

Author: Ben Lambert; Difficulty: Advanced; Description: This lab provides an opportunity to practice developing tests with Python's built-in unittest module. Sharpen your testing skills by implementing tests for an existing Python application.; Duration: Up to 3 hours; Content Topics: Development; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use various tools to improve quality and detect security issues in AWS CloudFormation templates in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create a scaling rule to automatically scale an Azure Virtual Machine Scale Set resource in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Compute; This hands-on lab has: 3 Lab steps

Author: Farish Kashefinejad; Difficulty: Beginner; Description: In this lab, you will be working with JavaScript objects. Objects are key-value paired data collections.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Danny Jessee; Type: updated learning path; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified CloudOps Engineer - Associate (SOA-C03) certification.; Duration: Up to 63 hours and 54 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Resource, 8 Courses, 9 Lab challenges, 8 Exams, 21 Hands-on labs

Difficulty: Intermediate; Description: In this lab course, you will use python to learn to design and develop intelligent single and multi-agent systems.; Duration: Up to 12 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 8 Hands-on labs