Training Library

Author: Jeremy Cook; Difficulty: Intermediate; Description: In this hands-on lab playground, you'll have the opportunity to play around with a production-grade, preconfigured Kubernetes monitoring environment consisting of the Kubernetes Dashboard, Prometheus, and Grafana.; Duration: Up to 4 hours; Content Topics: DevOps, Monitoring, Deployment, Compute; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Convert a number into a string that contains raindrop sounds corresponding to certain potential factors in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Write code to reverse a given string in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Luke Orellana; Difficulty: Beginner; Description: In this lab playground, choose Azure Notebook samples and explore the Azure Machine Learning service using Python or R.; Duration: Up to 2 hours; Content Topics: Microsoft Azure; This hands-on lab has: 2 Lab steps

Author: Luke Orellana; Difficulty: Intermediate; Description: In this lab, use Azure's Machine Learning SDK to build an ML Pipeline to train and deploy a model.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to utilize SQL aggregate functions and utilize complex functions, and learn how to get complex insights from your data.; Duration: Up to 1 hour and 15 minutes; Content Topics: SQL; This hands-on lab has: 3 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: This lab will dive into understanding GET, POST, DELETE, and PATCH HTTP verbs and will teach you to use Python to interact with an REST API.; Duration: Up to 1 hour; Content Topics: Web; This hands-on lab has: 2 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to gain a familiarity with Natural Language Processing (NLP) concepts.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Learn how to use Azure Boards, Azure Repos, and Azure Pipelines to practice effective DevOps in this lab.; Duration: Up to 2 hours; Content Topics: DevOps; This hands-on lab has: 7 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Learn to deploy powerful bots in Azure by integrating Azure Bot Services with Azure AI Services API to create and serve intelligent bots.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Increase your Linux skills and practice Ubuntu (a popular, free Linux distribution) by performing any tasks you'd like in a playground Ubuntu environment.; Duration: Up to 4 hours; Content Topics: Operating System; This hands-on lab has: 2 Lab steps

Author: Matt Martinez; Difficulty: Advanced; Description: Use Weave Flux and Helm to implement GitOps methodologies in an AWS-hosted Kubernetes application by using Git as a single source of truth for Kubernetes deployments.; Duration: Up to 1 hour and 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps

Author: Jeremy Cook; Difficulty: Beginner; Description: In this Lab scenario, you'll first use S2I to create a basic builder container image. The builder container image will then be used to build a runtime container image containing a simple static web portal application frontend. You'll then use the oc tool to launch and expose the containerized web portal application.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 7 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Duration: Up to 1 hour and 10 minutes; Content Topics: Management, Storage; This hands-on lab has: 9 Lab steps

Author: Jeremy Cook; Difficulty: Intermediate; Description: In this lab, you'll learn how to deploy an Nginx Ingress Controller and install and expose a sample API service using an Ingress resource.; Duration: Up to 1 hour and 30 minutes; Content Topics: Deployment, Compute, DevOps; This hands-on lab has: 8 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Duration: Up to 30 minutes; Content Topics: Security; This hands-on lab has: 2 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Duration: Up to 1 hour and 10 minutes; Content Topics: Security; This hands-on lab has: 3 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to configure a custom vector store for use with an Amazon Bedrock Knowledge Base in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Security, Artificial Intelligence, Databases; This hands-on lab has: 5 Lab steps

Author: Jeremy Cook; Difficulty: Beginner; Description: This lab is designed to deepen your Java Module knowledge.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Jeremy Cook; Difficulty: Intermediate; Description: This lab is designed to deepen your Java Streams knowledge.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Jeremy Cook; Difficulty: Intermediate; Description: This lab is designed to deepen your Java Collections knowledge.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use the Azure Question Answering Service (QnA Maker) to create a knowledge base and integrate it with a chatbot.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps