AI & Machine Learning

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: 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: 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

Author: Andrew Burchill; Difficulty: Beginner; Description: Lean how to use Amazon DocumentDB's vector search functionality in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Databases; This hands-on lab has: 4 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

Difficulty: Intermediate; Description: This course guides you through the essentials of optimizing agentic AI systems, including prompt engineering, RAG, and evaluation.; Duration: Up to 4 hours and 23 minutes; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs

Difficulty: Intermediate; Description: Discover how AI-powered search is changing marketing. Learn what it is, why it matters, and how to keep your brand visible in an AI-driven world.; Duration: Up to 1 hour and 9 minutes; This learning path has: 3 Courses, 2 Exams

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 50 minutes; This learning path has: 4 Courses, 1 Exam

Difficulty: Intermediate; Description: This course introduces learners to the evolution of AI from static chatbots to autonomous agentic systems capable of reasoning, planning, and acting.; Duration: Up to 1 hour and 56 minutes; This learning path has: 3 Courses

Difficulty: Beginner; Description: Discover how to use Codex, the OpenAI coding assistant, to write, refactor, and review code efficiently and securely using clear, effective prompts.; Duration: Up to 51 minutes; This learning path has: 4 Courses, 1 Exam

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

Author: Paul Thomas; Difficulty: Beginner; Description: Introduction to Agentic AI on the Google Cloud Platform using Vertex AI 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: 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: Intermediate; Duration: 14 minutes and 20 seconds; Content Topics: Artificial Intelligence; This course has: 7 Units

Difficulty: Intermediate; Duration: 14 minutes and 24 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

Difficulty: Intermediate; Duration: 10 minutes and 33 seconds; Content Topics: Artificial Intelligence; This course has: 5 Units