Cloud Platforms

Author: Stuart Scott; Difficulty: Advanced; Description: This course shows how AWS CloudTrail enables you to track both user account activity and API usage across your AWS account to maintain governance and compliance; Duration: Up to 4 hours and 35 minutes; Content Topics: Management, Security, Monitoring; This learning path has: 2 Courses, 1 Lab challenge, 2 Hands-on labs

Author: Stuart Scott; Difficulty: Advanced; Description: This course will help you to create, manage, and control cryptographic key using AWS KMS, through on-demand courses and hands-on labs and challenges; Duration: Up to 5 hours and 41 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 4 Hands-on labs

Author: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to reference Azure App Configuration to fetch configuration settings directly from the application's source code in this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 4 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create an Azure CosmosDB account and containers using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to use Python SDK to authenticate and interact with Azure Web Apps in this hands-on lab.; Duration: Up to 1 hour; This hands-on lab has: 3 Lab steps

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified CloudOps Engineer - Associate (SOA-C03) certification.; Duration: Up to 63 hours and 54 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Resource, 8 Courses, 9 Lab challenges, 8 Exams, 21 Hands-on labs

Author: Daniel Ives; Difficulty: Intermediate; Description: Master AWS billing, tagging, and multi-account strategies to optimize cloud costs, improve visibility, and enforce governance across your organization.; Duration: Up to 1 hour and 43 minutes; Content Topics: Amazon Web Services; This learning path has: 4 Courses

Author: Danny Jessee; Difficulty: Intermediate; Description: In this course, you’ll learn how to optimize AWS compute and autoscaling for cost efficiency using right-sizing, pricing models, and smart scaling strategies.; Duration: Up to 2 hours and 34 minutes; Content Topics: Compute; This learning path has: 5 Courses, 1 Hands-on lab

Author: Thomas Mitchell; Difficulty: Intermediate; Description: Learn about multi-cloud identity management, role-based access control, and cross-cloud security challenges in environments that leverage Azure, AWS, and GCP.; Duration: Up to 1 hour and 48 minutes; Content Topics: Identity and Access Management; This learning path has: 4 Courses

Author: Alana Layton; Difficulty: Intermediate; Description: This course will walk you through training, evaluating, fine-tuning, and deploying machine learning models on Amazon SageMaker.; Duration: Up to 10 hours and 25 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 4 Hands-on labs

Author: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 10 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 4 hours and 33 minutes; Content Topics: Management, Security; This learning path has: 9 Courses, 1 Resource, 2 Hands-on labs

Author: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 9 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 8 hours and 7 minutes; Content Topics: Management, Security; This learning path has: 9 Courses, 1 Lab challenge, 3 Hands-on labs

Author: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 8 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 10 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 14 Courses, 5 Hands-on labs

Author: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 5 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 28 hours and 4 minutes; Content Topics: Networking, Development, Security, Management, Content Delivery Networking; This learning path has: 21 Courses, 1 Lab challenge, 15 Hands-on labs

Author: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 3 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 14 hours and 31 minutes; Content Topics: Amazon Web Services; This learning path has: 17 Courses, 6 Hands-on labs

Author: Jorge Negrón; Difficulty: Intermediate; Description: This course will introduce you to AWS Config to explain how it can be used to assess, audit and evaluate your resources.; Duration: Up to 3 hours and 43 minutes; Content Topics: Management, Security, Monitoring; This learning path has: 2 Courses, 1 Lab challenge, 1 Hands-on lab

Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to deploy a containerized text analytics solution with Azure AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Danny Jessee; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 7 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 11 hours and 49 minutes; Content Topics: Amazon Web Services; This learning path has: 14 Courses, 1 Lab challenge, 5 Hands-on labs