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: Beginner; Description: This is the digital module for ​AI Literacy: Safe and Compliant AI Use for All Staff​.; Duration: Up to 2 hours and 8 minutes; This learning path has: 6 Courses, 1 Exam

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: Parveen Singh; Difficulty: Beginner; Description: In this lab, you'll learn how to work with Azure CLI to create and manage the Azure resources.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Parveen Singh; Difficulty: Beginner; Description: In this hands-on lab, you'll learn how to work with Azure CLI to create and manage the Azure resources.; Duration: Up to 30 minutes; Content Topics: Development Tools; This hands-on lab has: 3 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you'll be introduced to Amazon Simple Notification Service (SNS). Get started today!; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 8 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: 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: 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: 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: 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 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