Cloud Platforms

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Machine Learning; This course has: 2 Units

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 22 minutes and 19 seconds; Content Topics: Machine Learning; This course has: 1 Unit

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 35 minutes and 59 seconds; Content Topics: Machine Learning; This course has: 2 Units

Author: Alibaba Cloud; Difficulty: Beginner; Duration: 53 minutes and 18 seconds; Content Topics: Compute; This course has: 7 Units

Author: Stuart Scott; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 6 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 8 hours and 38 minutes; Content Topics: Amazon Web Services; This learning path has: 10 Courses, 1 Lab challenge, 4 Hands-on labs

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: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Google Cloud Firestore skills in a free-rein, empty GCP environment by working with Firestore in Datastore mode in any way you see fit!; Duration: Up to 2 hours; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Firestore skills by performing tasks required to create a NoSQL database, create entities and indexing them.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This lab challenge has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will work with advanced components of Firestore in Datastore mode such as indexing, ancestors, and GQL queries; Duration: Up to 45 minutes; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Google Cloud Spanner skills in a free-rein, empty GCP environment by creating Cloud Spanner instances and databases in any way you see fit!; Duration: Up to 2 hours; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Demonstrate your Cloud Memorystore skills by performing tasks required to set up Redis and Memcached clusters in this lab challenge.; Duration: Up to 40 minutes; Content Topics: NoSQL; This lab challenge has: 2 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: Perform spatial measurements and spatial transformations in BigQuery GIS using Python in this lab.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Beginner; Description: QA HTML/CSS/JS Example; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Learn to create and manage multi-agent workflows using Microsoft Foundry to automate complex tasks.; Duration: Up to 1 hour and 15 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Parveen Singh; Difficulty: Advanced; Description: Learn how to use Azure Functions and Storage Blob Triggers to automate file processing in Azure Blob Storage in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS SDK for Pandas to process real-time transaction data in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Mark Secrist; Difficulty: Intermediate; Description: Creating a Python client for Amazon DynamoDB; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Put your Amazon Bedrock knowledge to the test by configuring guardrails for a fictional company in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This lab challenge has: 1 Lab step

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: 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: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; 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