AI & Machine Learning

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to moderate textual content as a part of a content processing system 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: 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 use Generative AI to create a new application on AWS in this hands-on lab; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; 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: Alibaba Cloud; Difficulty: Intermediate; Description: Learn how to carry out machine learning activities using Alibaba Cloud PAI (Platform for Artificial Intelligence) and its many features and capabilities!; Duration: Up to 6 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 6 Courses, 6 Exams

Type: updated learning path; Difficulty: Intermediate; Description: Learn how agentic AI and language models enable agents to plan, reason, use tools, and act safely to automate and personalize real-world tasks.; Duration: Up to 2 hours and 11 minutes; This learning path has: 4 Courses, 1 Hands-on lab

Difficulty: Intermediate; Description: This course is designed for those new to AI tooling, as well as anyone looking to deepen their understanding of how AI fits into modern software architecture.; Duration: Up to 9 hours and 59 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 6 Exams, 6 Hands-on labs

Difficulty: Beginner; Description: Learn best practice for leveraging AI-driven hyper-personalization in a responsible, ethical way.; Duration: Up to 1 hour and 15 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: A guide to initiating AI projects, measuring effectively, and managing organizational cultural changes to drive business growth.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams

Author: Alana Layton; Difficulty: Advanced; Description: Gain an understanding of the AWS services that allow you to integrate with LLMs and FMs, including Amazon Q for Business, Amazon Q Developer and Amazon Bedrock; Duration: Up to 10 hours and 14 minutes; Content Topics: Amazon Web Services; This learning path has: 10 Courses, 5 Hands-on labs

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: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement a RAG pipeline to support a knowledge base using AWS Step Functions in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Parveen Singh; Difficulty: Advanced; Description: Learn how to work with Azure AI Search and OpenAI to build a generative search application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; 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: Amazon Web Services; This hands-on lab has: 3 Lab steps

Difficulty: Intermediate; Duration: 33 minutes and 11 seconds; This course has: 10 Units

Author: Farish Kashefinejad; Difficulty: Intermediate; Duration: 2 minutes; Content Topics: Artificial Intelligence; This course has: 1 Unit

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

Author: Lee Mucciarone; Difficulty: Beginner; Duration: 26 minutes and 17 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

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

Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 6 minutes and 15 seconds; This course has: 1 Unit

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