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Search results 9 - 24 of 254Category: Services
- COURSEBen LambertIntroduction to the OpenAI PlaygroundBeginnerDuration: 17 minutes and 33 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 17 minutes and 33 seconds; This course has: 4 Lectures
- COURSEHallam WebberDeploying Models in Azure Machine LearningIntermediateAuthor: Hallam Webber; Difficulty: Intermediate; Content Topics: Machine Learning; This course has: 5 Lectures
- COURSEDeniz YilmazHigh-Performance Text Analysis with HuggingFace GPT-2 on AWS Neuron with AWS InferentiaBeginnerDuration: 44 minutes and 45 secondsAuthor: Deniz Yilmaz; Difficulty: Beginner; Duration: 44 minutes and 45 seconds; Content Topics: Machine Learning; This course has: 9 Lectures
- HANDS-ON LABAndrew BurchillPlanning EC2 Capacity With Amazon ForecastBeginnerDuration: Up to 1 hourAuthor: 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
- HANDS-ON LABJun FritzBuilding a PDF RAG Chatbot Powered by LangChain and Amazon BedrockIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy a PDF Chatbot using retrieval-augmented generation (RAG), LangChain, and AWS services in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Serverless, Containers, Machine Learning; This hands-on lab has: 6 Lab steps
- HANDS-ON LABJun FritzBuilding Interactive Machine Learning and Data Science Applications With StreamlitBeginnerDuration: Up to 1 hourAuthor: 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
- HANDS-ON LABAndrew BurchillUsing Amazon DocumentDB to Store and Search Vector DataBeginnerDuration: Up to 1 hourAuthor: 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
- HANDS-ON LABNEWJun FritzWorking With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Type: new hands-on lab; 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
- HANDS-ON LABNEWAndrew BurchillEnhancing Productivity With Amazon Q BusinessBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Type: new hands-on lab; 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
- HANDS-ON LABNEWJun FritzDeveloping Chains and Runnables With the LangChain Expression Language (LCEL)BeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Type: new hands-on lab; 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
- HANDS-ON LABNEWAndrew BurchillPerforming Data Quality Checks Using an Amazon Athena NotebookBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Type: new hands-on lab; 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
- HANDS-ON LABJun FritzFormatting Large Language Model Inputs With LangChain Prompt TemplatesBeginnerDuration: Up to 45 minutesAuthor: 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
- HANDS-ON LABAndrew BurchillEvaluating Generative AI Models Using Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to run an automated model evaluation in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage, Artificial Intelligence; This hands-on lab has: 3 Lab steps
- COURSEAlana LaytonAmazon EC2 Capacity Blocks for MLIntermediateAuthor: Alana Layton; Difficulty: Intermediate; Content Topics: Amazon Web Services; This course has: 5 Lectures
- QUIZAzure DatabricksDuration: Up to 4 minutesDescription: Azure Databricks; Duration: Up to 4 minutes; Content Topics: Big Data, Machine Learning; This quiz has: 5 Questions
- QUIZAzure Machine Learning StudioDuration: Up to 4 minutesDescription: Azure Machine Learning Studio; Duration: Up to 4 minutes; Content Topics: Machine Learning; This quiz has: 5 Questions
- QUIZAmazon LexDuration: Up to 4 minutesDescription: Amazon Lex; Duration: Up to 4 minutes; Content Topics: Machine Learning; This quiz has: 5 Questions
- EXAMKnowledge Check: Connecting Your Physical EnvironmentDuration: Up to 20 minutesDescription: Knowledge Check: Connecting Your Physical Environment; Duration: Up to 20 minutes; Content Topics: Internet of Things; This exam has: 10 Questions
- EXAMKnowledge Check: Building Machine Learning Pipelines with scikit-learn - Part TwoDuration: Up to 35 minutesDescription: 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
- EXAMFinal Exam: Start Modeling Data with Amazon SageMakerDuration: Up to 25 minutesDescription: Final Exam: Start Modeling Data with Amazon SageMaker; Duration: Up to 25 minutes; Content Topics: Machine Learning; This exam has: 15 Questions
- EXAMFinal Exam: Getting Started with Machine Learning ModelsDuration: Up to 30 minutesDescription: Final Exam: Getting Started with Machine Learning Models; Duration: Up to 30 minutes; Content Topics: Machine Learning; This exam has: 20 Questions
- EXAMKnowledge Check: Introduction to Machine Learning - Part 2Duration: Up to 25 minutesDescription: Knowledge Check: Introduction to Machine Learning - Part 2; Duration: Up to 25 minutes; Content Topics: Machine Learning; This exam has: 15 Questions
- EXAMFinal Exam: Zero to Deep Learning - Bootcamp Three - Working with Convolutional and Recurrent Neural NetworksDuration: Up to 30 minutesDescription: 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
- EXAMFinal Exam: Zero to Deep Learning - Bootcamp Two - Introduction to Deep LearningDuration: Up to 30 minutesDescription: 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