AI & Machine Learning

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Lee Mucciarone; Difficulty: Beginner; Duration: 25 minutes and 33 seconds; Content Topics: Business Suites, Artificial Intelligence; This course has: 6 Lectures

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS SDK for Pandas to process real-time transaction data 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 how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to deploy a containerized text analytics solution with Azure AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Lean how to use Amazon DocumentDB's vector search functionality in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Databases; This hands-on lab has: 4 Lab steps

Author: Farish Kashefinejad; Type: new course; Difficulty: Beginner; Duration: 15 minutes and 8 seconds; This course has: 1 Lecture

Author: Farish Kashefinejad; Type: new course; Difficulty: Beginner; Duration: 11 minutes and 54 seconds; This course has: 1 Lecture

Author: Alana Layton; Difficulty: Intermediate; Duration: 17 minutes and 21 seconds; Content Topics: Amazon Web Services; This course has: 5 Lectures

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: QA; Type: new hands-on lab; Difficulty: Intermediate; Description: Data Wrangling and Feature Engineering; Duration: Up to 1 hour and 30 minutes; This hands-on lab has: 3 Lab steps

Description: Azure Machine Learning Studio; Duration: Up to 4 minutes; Content Topics: Microsoft Azure; This quiz has: 5 Questions

Description: Amazon Lex; Duration: Up to 4 minutes; Content Topics: Amazon Web Services; This quiz has: 5 Questions

Description: Knowledge Check: Connecting Your Physical Environment; Duration: Up to 20 minutes; Content Topics: Internet of Things; This exam has: 10 Questions

Description: Final Exam: Start Modeling Data with Amazon SageMaker; Duration: Up to 25 minutes; Content Topics: Amazon Web Services; This exam has: 15 Questions

Description: Final Exam: Getting Started with Machine Learning Models; Duration: Up to 30 minutes; Content Topics: Machine Learning; This exam has: 20 Questions

Description: Knowledge Check: Introduction to Machine Learning - Part 2; Duration: Up to 25 minutes; Content Topics: Machine Learning; This exam has: 15 Questions

Description: Final Exam: Zero to Deep Learning - Bootcamp Three - Working with Convolutional and Recurrent Neural Networks; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This exam has: 15 Questions

Description: Final Exam: Zero to Deep Learning - Bootcamp Two - Introduction to Deep Learning; Duration: Up to 30 minutes; Content Topics: Analytics, Artificial Intelligence; This exam has: 15 Questions