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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: Logan Rakai; Difficulty: Beginner; Description: Analyze household energy consumption and go from raw data to accurate forecasts using the built-in algorithms provided by Amazon Forecast in this hands-on lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Machine Learning; This hands-on lab has: 6 Lab steps

Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 11 minutes and 47 seconds; Content Topics: Artificial Intelligence; This course has: 1 Lecture

Author: Alana Layton; Difficulty: Beginner; Duration: 20 minutes and 48 seconds; Content Topics: Development, Artificial Intelligence; This course has: 5 Lectures

Author: Jamie Maguire; Difficulty: Intermediate; Duration: 52 minutes and 8 seconds; Content Topics: Artificial Intelligence; This course has: 7 Lectures

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: Hallam Webber; Difficulty: Intermediate; Duration: 37 minutes and 21 seconds; Content Topics: Microsoft Azure; This course has: 9 Lectures

Author: Jorge Negrón; Difficulty: Beginner; Duration: 24 minutes and 54 seconds; Content Topics: Machine Learning; This course has: 7 Lectures

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: Calculated Systems; Difficulty: Intermediate; Description: This course provides an intro to the Dialogflow service and will get you up and running with building your own chatbots.; Duration: Up to 6 hours and 2 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs

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: Danny Jessee; Difficulty: Intermediate; Description: Discover the benefits of leveraging Amazon Q in your enterprise, and understand how this gen ai-powered agent can streamline tasks, solve problems, and more; Duration: Up to 5 hours and 29 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 3 Hands-on labs