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 4 hours and 46 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 2 Hands-on labs

Author: Jun Fritz; Difficulty: Beginner; Description: Configure an Amazon Bedrock Guardrail to ensure safe, responsible interactions with your AI applications in this hands-on lab.; Duration: Up to 30 minutes; This hands-on lab has: 2 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: Amazon Web Services; This hands-on lab has: 3 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Learn how to use the OpenAI Chat completions API to generate text in this lab.; Duration: Up to 30 minutes; This hands-on lab has: 1 Lab step

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS's natural language processing service Amazon Comprehend in this hands-on laboratory.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 8 minutes and 5 seconds; Content Topics: Artificial Intelligence; This course has: 1 Unit

Author: Hallam Webber; Difficulty: Intermediate; Duration: 24 minutes and 33 seconds; Content Topics: Microsoft Azure; This course has: 5 Units

Author: Alana Layton; Difficulty: Intermediate; Duration: 28 minutes and 8 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

Author: Ben Lambert; Difficulty: Intermediate; Duration: 50 minutes and 35 seconds; This course has: 8 Units

Author: Ben Lambert; Difficulty: Intermediate; Duration: 26 minutes and 57 seconds; This course has: 5 Units

Author: Daniel Mease; Difficulty: Intermediate; Duration: 28 minutes and 58 seconds; Content Topics: Google Cloud Platform; This course has: 7 Units

Author: Jamie Maguire; Difficulty: Intermediate; Duration: 59 minutes and 3 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 49 minutes and 5 seconds; Content Topics: Machine Learning; This course has: 4 Units

Author: Calculated Systems; Difficulty: Beginner; Description: Learn how to create a simulated banking concierge bot using Google DIalogflow in this lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 9 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: Amazon Web Services; This hands-on lab has: 6 Lab steps

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

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

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: 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: 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: 2 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: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create a model card to document your Amazon SageMaker machine learning models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps