Cloud Platforms

Author: Jeremy Cook; Difficulty: Advanced; Description: Learn how to modernise a monolithic .Net application to use cloud microservices and use a combination of cloud services to increase scalability.; Duration: Up to 14 hours and 28 minutes; Content Topics: Amazon Web Services; This learning path has: 4 Courses, 2 Exams, 6 Hands-on labs

Author: Stuart Scott; Difficulty: Intermediate; Description: This course will help you understand the different AWS database services and features and how to manage them within your environment.; Duration: Up to 21 hours and 26 minutes; Content Topics: Amazon Web Services; This learning path has: 21 Courses, 2 Lab challenges, 3 Exams, 8 Hands-on labs

Author: Luke Orellana; Difficulty: Beginner; Description: Learn how to manage Azure infrastructure using Terraform, the most popular infrastructure as code tool in the DevOps toolbelt.; Duration: Up to 12 hours and 8 minutes; Content Topics: Deployment, DevOps; This learning path has: 1 Lab challenge, 14 Hands-on labs

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: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you become an Azure Solution Architect.; Duration: Up to 44 hours and 45 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 40 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: 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: 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 16 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 52 hours and 45 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs

Author: Danny Jessee; Difficulty: Advanced; Description: Train to prepare for the AWS Certified Security – Specialty Certification (SCS-C02) exam, released in July 2023!; Duration: Up to 44 hours and 44 minutes; Content Topics: Amazon Web Services; This learning path has: 6 Courses, 3 Lab challenges, 6 Exams, 17 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