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

Type: new learning path; Difficulty: Beginner; Description: In this course, we delve into the latest advancements and trends in AI technology and the potential gains for businesses that adopt them.; Duration: Up to 16 minutes; This learning path has: 1 Course

Author: Danny Jessee; Type: new learning path; Difficulty: Intermediate; Description: NOTE: This course is in PREVIEW and will continue to be updated until the GA date for this exam, which has not yet been announced by AWS.; Duration: Up to 71 hours and 42 minutes; Content Topics: Machine Learning; This learning path has: 60 Courses, 10 Exams, 15 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; Duration: Up to 1 hour and 30 minutes; Content Topics: Identity and Access Management; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage the Streamlit framework to build interactive machine learning and data science applications on AWS in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Storage, Artificial Intelligence; This hands-on lab has: 4 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: Ben Lambert; Difficulty: Beginner; Duration: 17 minutes and 33 seconds; This course has: 4 Lectures

Author: Deniz Yilmaz; Difficulty: Beginner; Duration: 44 minutes and 45 seconds; Content Topics: Machine Learning; This course has: 9 Lectures

Author: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps

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: 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; Content Topics: Artificial Intelligence; 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: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; 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: Alana Layton; Difficulty: Intermediate; Duration: 17 minutes and 21 seconds; Content Topics: Amazon Web Services; This course has: 5 Lectures

Author: Andrew Burchill; Type: new hands-on lab; 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: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Automatic Model HyperParameter Tuning to accelerate machine learning model development in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

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

Description: Amazon Lex; Duration: Up to 4 minutes; Content Topics: Machine Learning; 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: Knowledge Check: Building Machine Learning Pipelines with scikit-learn - Part Two; Duration: Up to 35 minutes; Content Topics: Machine Learning; This exam has: 20 Questions

Description: Final Exam: Start Modeling Data with Amazon SageMaker; Duration: Up to 25 minutes; Content Topics: Machine Learning; 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