Training Library

Author: Ben Lambert; Difficulty: Beginner; Description: Python has become one of the most popular programming languages. This course introduces the core language features through courses and hands-on labs.; Duration: Up to 48 hours and 51 minutes; Content Topics: Development; This learning path has: 24 Courses, 22 Hands-on labs

Author: Thomas Mitchell; Difficulty: Intermediate; Description: This Course is designed to help you and your team prepare for the SC-400 Microsoft Information Protection Administrator exam.; Duration: Up to 16 hours and 20 minutes; Content Topics: Microsoft 365; This learning path has: 27 Courses, 1 Resource, 1 Exam

Author: Eric Raub; Difficulty: Intermediate; Description: Get started today with Jenkins on Windows - AWS, one of the most popular cross-platform DevOps automation systems.; Duration: Up to 1 hour and 45 minutes; Content Topics: Networking, DevOps, Security; This hands-on lab has: 10 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn at your own pace as you explore the AWS CloudFormation service in this extended hands-on playground lab.; Duration: Up to 4 hours; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Experiment with modifying and observing a two-tier VPC in this hands-on playground.; Duration: Up to 4 hours; Content Topics: Networking, Security; This hands-on lab has: 2 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon CloudWatch skills to the test in this hands-on challenge lab as you are tasked with creating a metric filter and an alarm.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Use Lightsail containers to deploy a container workload and monitor it in this lab.; Duration: Up to 1 hour; Content Topics: Compute; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Practice your Linux skills in this lab and get familiar with Red Hat Linux by accessing a long-running instance browser terminal.; Duration: Up to 4 hours; Content Topics: Operating System; This hands-on lab has: 2 Lab steps

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