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Author: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps

Author: Andrea Giussani; Difficulty: Advanced; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the probability that a subject will suffer from a heart stroke.; Duration: Up to 1 hour; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps

Author: Calculated Systems; Difficulty: Advanced; Description: In this lab, you will learn how to make a chatbot that can look up the weather from a US Government forecasting API.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you will create a banking concierge chatbot that is capable of asking clarifying and follow-up questions.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 11 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to perform K-Means Clustering on a set of data and plot the outcome.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 3 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to gain a familiarity with Natural Language Processing (NLP) concepts.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps

Author: Matt Martinez; Difficulty: Intermediate; Description: Prove your practical knowledge of bots and your proficiency with the Microsoft Azure portal and CLI by creating a bot and publishing to Azure Bot Service; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This lab challenge has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to configure and use Amazon Q Developer in an AWS Cloud9 environment in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development Tools; This hands-on lab has: 3 Lab steps

Author: Adil Islam; Difficulty: Beginner; Description: Predict income levels using census data and compare the performance of two trained models in this Azure Machine Learning Designer hands-on lab.; Duration: Up to 50 minutes; Content Topics: Machine Learning; This hands-on lab has: 6 Lab steps

Author: Andrea Giussani; Difficulty: Beginner; Description: In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps

Author: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you will integrate an online FAQ to provide a high-quality information service to your end-users.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps

Author: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Analytics, Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps

Author: Thomas Holmes; Difficulty: Beginner; Description: You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to enable and utilize Amazon Q Developer to improve your AWS Lambda functions in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Serverless; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to run an automated model evaluation in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage, Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how to enhance the accuracy of generative AI models in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to engineer and develop prompts for large language models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to perform AI prompt-chaining and integrate Amazon Bedrock with AWS Step Functions in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Serverless; This hands-on lab has: 3 Lab steps