Training Library

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to incorporate various built-in functions using Terraform in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment; This hands-on lab has: 3 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: The Web Server Gateway Interface (WSGI) specification defines a simple universal-interface between web servers and web applications. Enabling web developers to mix and match WSGI compliant servers and applications. This lab introduces some of the primary concepts of WSGI applications.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Intermediate; Description: Learn how to use the web-based IAM Policy Simulator and the AWS Command line Interface to test AWS IAM policies in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Ben Lambert; Difficulty: Advanced; Description: The ability to effectively debug a Python application is a valuable skill for Python developers. This lab provides and opportunity to practice debugging a web-based application.; Duration: Up to 3 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to create apps with GitHub Copilot.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: In this lab, learn about a common pattern for moving data into Cloud Bigtable and backing it up.; Duration: Up to 40 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 3 Lab steps

Author: Andrew Burchill; Difficulty: Intermediate; Description: Put your AWS and terraform skills to the test as you are tasked with integrating SQS, SNS, and ElastiCache with an existing ECS cluster.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step

Author: Carlos Rivas; Difficulty: Beginner; Duration: 14 minutes and 8 seconds; Content Topics: Development; This course has: 4 Units

Author: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 10 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 4 hours and 59 minutes; Content Topics: Management, Security; This learning path has: 9 Courses, 1 Resource, 2 Hands-on labs

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to build a versioning solution for Amazon S3 bucket policies using a serverless architecture in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: QA; Difficulty: Beginner; Description: QA HTML/CSS/JS Example; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Paul Thomas; Difficulty: Beginner; Description: This lab takes you through the steps of setting up monitoring in the cloud. Using EC2s you will use Prometheus metrics, Grafana dashboards, and Splunk for logging. The process will take you through setting up the servers, installing the tooling and writing sample code. When the code runs (and fails) you will track that activity in the appropriate dashboards to assist you in your future troubleshooting.; Duration: Up to 4 hours; Content Topics: Site Reliability; This hands-on lab has: 10 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

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

Author: Parveen Singh; Difficulty: Advanced; Description: Learn how to use Azure Functions and Storage Blob Triggers to automate file processing in Azure Blob Storage in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

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

Author: Jeremy Cook; Difficulty: Intermediate; Description: Serverless X-Ray Logging and Monitoring; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Thomas Mitchell; Type: updated learning path; Difficulty: Intermediate; Description: Learn to design, secure, and optimize multicloud networks across AWS and Azure using native tools, VPNs, load balancers, and SD-WAN solutions.; Duration: Up to 3 hours and 46 minutes; Content Topics: Networking; This learning path has: 5 Courses, 1 Hands-on lab

Author: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 8 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 12 hours and 13 minutes; Content Topics: Amazon Web Services; This learning path has: 14 Courses, 5 Hands-on labs

Author: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 5 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 30 hours and 18 minutes; Content Topics: Networking, Development, Security, Management, Content Delivery Networking; This learning path has: 21 Courses, 1 Lab challenge, 15 Hands-on labs

Author: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 3 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 16 hours and 54 minutes; Content Topics: Amazon Web Services; This learning path has: 17 Courses, 6 Hands-on labs

Author: Paul Thomas; Difficulty: Beginner; Description: In this hands-on lab, you’ll create an Azure AI Foundry Agent that accepts a multilingual customer complaint, detects language, extracts key phrases, and summarizes an issue; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 6 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to optimize your Azure compute and serverless resources in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Serverless; This hands-on lab has: 3 Lab steps