Training Library

Author: Ben Lambert; Difficulty: Advanced; Description: Learn how to ensure your code performs resource cleanup with context managers. This lab introduces context managers through hands-on examples and ends with the chance to practice what you've learned.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Ben Lambert; Difficulty: Advanced; Description: Step into the role of a lead developer on their first day of work. Solve a series of increasingly difficult debugging challenges in this self-guided lab.; Duration: Up to 3 hours; Content Topics: Development; This hands-on lab has: 5 Lab steps

Author: Farish Kashefinejad; Difficulty: Beginner; Description: In this lab you will setup your first express application; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 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: Parveen Singh; Difficulty: Intermediate; Description: Learn how to reference Azure App Configuration to fetch configuration settings directly from the application's source code in this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 4 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create an Azure CosmosDB account and containers using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: NoSQL; This hands-on lab has: 3 Lab steps

Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to use Python SDK to authenticate and interact with Azure Web Apps in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Farish Kashefinejad; Difficulty: Beginner; Description: In this lab, you will be working with Event Listeners to complete a task list application. An event listener is a function that waits for a specific page interaction, such as a mouse click, to occur. Event listeners can bind to many different page events.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 7 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: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will use the CoinGecko Python API to retrieve and visualize cryptocurrencies data.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Understand the function chaining concept in Durable Function and create the durable functions using Core Tools in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Serverless; 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: Farish Kashefinejad; Difficulty: Beginner; Description: In this lab you will setup tools to help with the development of an Express application; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 7 Lab steps

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 29 hours and 6 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: Jorge Negrón; Difficulty: Intermediate; Description: This course will introduce you to AWS Config to explain how it can be used to assess, audit and evaluate your resources.; Duration: Up to 3 hours and 43 minutes; Content Topics: Management, Security, Monitoring; This learning path has: 2 Courses, 1 Lab challenge, 1 Hands-on lab

Author: Stuart Scott; Difficulty: Advanced; Description: This course focuses on the Amazon Elastic Block Store (EBS) service, allowing you to become familiar with its uses, helping to embed it into your architecture.; Duration: Up to 5 hours and 59 minutes; Content Topics: Storage; This learning path has: 4 Courses, 1 Lab challenge, 5 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 Lab steps

Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to deploy a containerized text analytics solution with Azure AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 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: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 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: Daniel Wood; Difficulty: Beginner; Description: Learn how to configure Kubernetes cluster auditing in this lab.; Duration: Up to 35 minutes; Content Topics: Containers; This hands-on lab has: 4 Lab steps