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: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; 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: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 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: Lee Mucciarone; Difficulty: Beginner; Duration: 25 minutes and 33 seconds; Content Topics: Business Suites, Artificial Intelligence; This course has: 6 Units

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate software architecture decisions.; 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 create apps with GitHub Copilot.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps

Author: Farish Kashefinejad; Difficulty: Intermediate; Duration: 26 minutes and 21 seconds; Content Topics: Artificial Intelligence; This course has: 4 Units

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 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: 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: 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

Difficulty: Advanced; Description: Build reusable AI systems, design a personal AI assistant, and decide when grounding and advanced prompting add real value at work.; Duration: Up to 2 hours and 7 minutes; This learning path has: 4 Courses, 1 Hands-on lab

Difficulty: Beginner; Description: Welcome to Introduction to Continue.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam

Author: Logan Rakai; Difficulty: Beginner; Description: A prompt playground to test, iterate, and compare your prompts across multiple LLMs.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step

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: Jun Fritz; Difficulty: Beginner; Description: Learn how to build data-aware AI agents using Agent Search on Gemini Enterprise Agent Platform on Google Cloud Platform in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Create an AI agent using Microsoft Foundry Agent Service and implement observability and monitoring solutions using Application Insights and Log Analytics.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Paul Thomas; Difficulty: Beginner; Description: In this hands-on lab, you’ll create an Azure AI Foundry Agent that accepts a multilingual customer complaint, detects language, extracts key phrases, and summarizes an issue; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, 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: 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

Difficulty: Advanced; Duration: 13 minutes and 51 seconds; This course has: 7 Units