Training Library

Author: Logan Rakai; Difficulty: Intermediate; Description: In this lab, learn about a common pattern for moving data into Cloud Bigtable and backing it up.; Duration: Up to 40 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 3 Lab steps

Author: Mark Secrist; Difficulty: Beginner; Description: Using Test Driven Development (TDD) practices, complete a partially provided Python solution, being guided by a set of given Python unit tests. Specifically, you must complete the implementation of a function that calculates the volume discounts for an ecommerce platform, ensuring that the solution passes the provided set of unit tests.; Duration: Up to 2 hours and 7 minutes; Content Topics: Test Driven Development (TDD); This lab challenge has: 2 Lab steps

Author: Danny Jessee; Difficulty: Intermediate; Duration: 42 minutes and 23 seconds; Content Topics: Artificial Intelligence; This course has: 9 Units

Author: Danny Jessee; Difficulty: Intermediate; Duration: 36 minutes and 50 seconds; Content Topics: Artificial Intelligence; This course has: 8 Units

Difficulty: Intermediate; Duration: 34 minutes and 19 seconds; This course has: 13 Units

Difficulty: Intermediate; Duration: 25 minutes and 59 seconds; This course has: 9 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: Ben Lambert; Difficulty: Intermediate; Description: Learn to design a personal AI assistant in this hands on lab.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step

Author: Ben Lambert; Difficulty: Intermediate; Description: Learn to use an iterative workflow for prompt development.; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 1 Lab step

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: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to refactor code for improved readability and performance.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; 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: Parveen Singh; Difficulty: Intermediate; Description: Put your Azure function skills to the test by scaling the app using Azure Load Testing in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This lab challenge has: 1 Lab step

Author: QA; Difficulty: Beginner; Description: Make strategic decisions as you perform the role of an AI leader in this SimuLab; Duration: Up to 1 hour; This simulab has: 1 Lab step

Difficulty: Intermediate; Description: Discover how to turn AI pilots into a proven business asset and scale responsibly with clear KPIs, governance, and continuous improvement.; Duration: Up to 49 minutes; This learning path has: 4 Courses, 1 Exam

Author: Danny Jessee; Type: updated learning path; Difficulty: Advanced; Description: Gain the knowledge required to implement the best practices as outlined within section 11 of the Security pillar of the AWS Well Architected Framework; Duration: Up to 6 hours and 16 minutes; Content Topics: Amazon Web Services; This learning path has: 6 Courses, 4 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 30 hours and 18 minutes; Content Topics: Networking, Development, Security, Management, Content Delivery Networking; This learning path has: 21 Courses, 1 Lab challenge, 15 Hands-on labs

Author: QA; Difficulty: Intermediate; Description: Deploy PolicyPal LLM Application; Duration: Up to 3 hours; This hands-on lab has: 5 Lab steps

Author: Paul Thomas; Difficulty: Beginner; Description: Introduction to Agentic AI on the Google Cloud Platform using Gemini Enterprise Agent Platform Studio and Agent Designer.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps

Author: Paul Thomas; Difficulty: Beginner; Description: This lab takes an agentic AI approach using Azure Function. The function integrates with OpenAI and CosmosDB to categorize a customer complaint and store the result in CosmosDB.; Duration: Up to 2 hours; Content Topics: Microsoft Azure; This hands-on lab has: 7 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create ACR repositories using Azure Container Registry Tasks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps