Cloud Platforms

Author: Daniel Mease; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam.; Duration: Up to 17 hours and 36 minutes; Content Topics: Google Cloud Platform; This learning path has: 13 Courses, 1 Resource, 2 Exams, 3 Hands-on labs

Author: Stuart Scott; Difficulty: Intermediate; Description: Learn how to use Amazon CloudWatch to increase operational performance by collating metrics and enhancing your observability across your AWS environment.; Duration: Up to 8 hours and 7 minutes; Content Topics: Amazon Web Services; This learning path has: 5 Courses, 1 Lab challenge, 1 Exam, 4 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you become an Azure Solution Architect.; Duration: Up to 48 hours and 49 minutes; Content Topics: Networking, Security, Storage, Monitoring, Compute, Databases; This learning path has: 32 Courses, 2 Lab challenges, 7 Exams, 13 Hands-on labs

Author: Daniel Mease; Difficulty: Intermediate; Description: This course will introduce you to neural networks, TensorFlow, and Google Cloud Machine Learning Engine. Start Course now.; Duration: Up to 2 hours and 42 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam

Author: Jeremy Cook; Difficulty: Beginner; Description: Learn how to use AWS Developer tools and services to build CI/CD workflows into your own software projects using a blend of learning material and hands-on labs.; Duration: Up to 7 hours and 12 minutes; Content Topics: Development; This learning path has: 7 Courses, 1 Exam, 2 Hands-on labs

Author: Hallam Webber; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam.; Duration: Up to 19 hours and 20 minutes; Content Topics: Microsoft Azure; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 5 Hands-on labs

Author: Jeremy Cook; Difficulty: Intermediate; Description: Learn practical applications of AWS machine learning and Artificial Intelligence services using a blend of learning material and hands-on labs.; Duration: Up to 6 hours and 30 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs

Author: Danny Jessee; Difficulty: Beginner; Description: Train to prepare for the AWS Certified AI Practitioner (AIF-C01) exam; Duration: Up to 31 hours and 4 minutes; Content Topics: Amazon Web Services; This learning path has: 40 Courses, 1 Exam, 10 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Professional Cloud Security Engineer exam.; Duration: Up to 24 hours and 41 minutes; Content Topics: Google Cloud Platform; This learning path has: 20 Courses, 1 Resource, 2 Exams, 9 Hands-on labs

Author: Lee Mucciarone; Difficulty: Beginner; Description: This course is designed to teach you the basics of using Copilot in Microsoft 365.; Duration: Up to 1 hour and 17 minutes; Content Topics: Business Suites, Artificial Intelligence; This learning path has: 6 Courses

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Professional Cloud Network Engineer exam.; Duration: Up to 23 hours and 46 minutes; Content Topics: Networking; This learning path has: 1 Resource, 19 Courses, 1 Lab challenge, 2 Exams, 10 Hands-on labs

Author: Daniel Mease; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Professional Cloud Developer exam.; Duration: Up to 35 hours and 54 minutes; This learning path has: 35 Courses, 1 Lab challenge, 1 Resource, 7 Exams, 9 Hands-on labs

Author: Jeremy Cook; Difficulty: Beginner; Description: Learn the tools and practices of Machine Learning on Amazon Web Services with a blend of instructional courses, quizzes, and hands-on labs.; Duration: Up to 6 hours and 15 minutes; Content Topics: Machine Learning; This learning path has: 5 Courses, 2 Hands-on labs

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 55 hours and 30 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs

Author: Adil Islam; Difficulty: Beginner; Description: In this lab, you will be learning about and creating a simple Azure Bicep template to deploy an Azure Storage Account.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Advanced; Description: Set up VPC peering between Amazon Virtual Private Clouds, leverage Amazon Route 53 private hosted zones, and diagnose network issues with VPC flow logs in this Lab; Duration: Up to 2 hours; Content Topics: Networking, Security, Content Delivery Networking; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your Elastic Load Balancing skills to the test in this hands-on Application Load Balancer focused challenge lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps

Author: Luke Orellana; Difficulty: Beginner; Description: Explore the main features of Azure SQL and learn how to deploy and manage the service by connecting to the database and assigning user access in this lab.; Duration: Up to 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to deploy and use Azure Synapse Analytics to query data stored in a data lake through T-SQL statements using a serverless SQL pool in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 7 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Put your Azure Data Factory Skills to the test in this lab challenge centering around Azure Data Factory Pipelines.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This lab challenge has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon CloudWatch Logs console to filter textual and JSON log events in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon CloudWatch; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Learn how to build and trigger data pipelines in Azure Data Factory in this lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 9 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Get started with Docker on Linux for Azure: Go from 0 to 60 in this lab from installing Docker to running your first app inside a container.; Duration: Up to 1 hour and 20 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 9 Lab steps

Author: Greg DeRenne; Difficulty: Beginner; Description: Learn how to configure and start your first Microsoft Azure Virtual Machine (VM) from the Azure portal. You will generate and use your own public/private key pair using (PuTTY and PuTTYgen). Once running, you will connect to the VM via Secure Shell (SSH). Basic VM controls are also explored, such as start, stop, restart and delete.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps