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Author: Ben Lambert; Difficulty: Beginner; Duration: 1 hour and 14 minutes; Content Topics: Machine Learning; This course has: 13 Lectures

Author: Thomas Mitchell; Difficulty: Beginner; Duration: 5 minutes and 4 seconds; Content Topics: Artificial Intelligence; This course has: 1 Lecture

Author: Ben Lambert; Difficulty: Intermediate; Duration: 8 minutes and 26 seconds; Content Topics: Artificial Intelligence; This course has: 1 Lecture

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 37 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 5 Lectures

Author: Calculated Systems; Difficulty: Intermediate; Duration: 54 minutes and 27 seconds; Content Topics: Artificial Intelligence; This course has: 8 Lectures

Author: Stuart Scott; Difficulty: Intermediate; Description: If you need to build Gen AI apps, Amazon Bedrock has you covered. Learn how to build scalable and secure applications using different foundation models in AWS; Duration: Up to 10 hours and 28 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses, 7 Hands-on labs

Author: Stuart Scott; Difficulty: Advanced; Description: Uncover the components and features from the underlying infrastructure to the services that leverage the creation of building generative AI apps on AWS; Duration: Up to 14 hours and 36 minutes; Content Topics: Amazon Web Services; This learning path has: 15 Courses, 8 Hands-on labs

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: 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: 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: 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: 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 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