Training Library

Difficulty: Intermediate; Description: This course explores tools and techniques for leveraging AI for behavioral analysis, while addressing ethical concerns and implementation challenges.; Duration: Up to 56 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: In this course, we look at how organizations can plan and implement AI personalization strategies and tactics to maximize loyalty, retention, and conversion.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: Covering the fundamentals of the CRM ecosystem, this course unpacks this vital technology, examining what it is, how it works and what it offers business.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: An overview of the changing retail landscape, and importance of business leaders taking ownership of eCommerce strategy to achieve profitable growth.; Duration: Up to 13 minutes; This learning path has: 1 Course

Author: Thomas Mitchell; Difficulty: Beginner; Description: This course is designed to teach you the basics of Generative AI in Azure and Microsoft Power Platform.; Duration: Up to 1 hour and 22 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses

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: 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: 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: Luke Orellana; Difficulty: Advanced; Description: Develop a test to validate a Terraform module using Terratest, a popular Golang library for testing Terraform code.; Duration: Up to 50 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps

Author: Luke Orellana; Difficulty: Advanced; Description: Learn advanced Terraform techniques by reducing the blast radius of critical infrastructure using Terragrunt to deploy an environment with separate Terraform states.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps

Author: Luke Orellana; Difficulty: Advanced; Description: Learn how to use Terragrunt to create separate Terraform environments with a remote state following DRY principles.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 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: 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 perform K-Means Clustering on a set of data and plot the outcome.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 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: 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: 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