Artificial Intelligence
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145 to 168 of 268 results
Search results 145 - 168 of 268Category: Artificial Intelligence
- LEARNING PATHDanny Jessee
Amazon Q – Your Generative AI-powered AgentIntermediateDuration: Up to 4 hours and 46 minutesAuthor: 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 - HANDS-ON LABJun Fritz
Implementing Safeguards for AI Applications With Amazon Bedrock GuardrailsBeginnerDuration: Up to 30 minutesAuthor: 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 - HANDS-ON LABJun Fritz
Orchestrating Generative AI Applications With AWS Step Functions and Amazon BedrockIntermediateDuration: Up to 1 hour and 15 minutesAuthor: 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 - HANDS-ON LABJun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS LambdaIntermediateDuration: Up to 1 hour and 15 minutesAuthor: 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 - HANDS-ON LABLogan Rakai
Introduction to the OpenAI Chat Completions APIBeginnerDuration: Up to 30 minutesAuthor: 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 - HANDS-ON LABAndrew Burchill
Analyzing Sentiments and Entities in Text with Amazon ComprehendBeginnerDuration: Up to 50 minutesAuthor: 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 - COURSEFarish Kashefinejad
Introduction to LLM OrchestrationBeginnerDuration: 8 minutes and 5 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 8 minutes and 5 seconds; Content Topics: Artificial Intelligence; This course has: 1 Unit - COURSEHallam Webber
Deploying Models in Azure Machine LearningIntermediateDuration: 24 minutes and 33 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 24 minutes and 33 seconds; Content Topics: Microsoft Azure; This course has: 5 Units - COURSEAlana Layton
Interacting with Amazon Bedrock Foundation Models using APIsIntermediateDuration: 28 minutes and 8 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 28 minutes and 8 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - COURSEBen Lambert
Building with the OpenAI Assistants APIIntermediateDuration: 50 minutes and 35 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 50 minutes and 35 seconds; This course has: 8 Units - COURSEBen Lambert
Maximizing The Value of GitHub CopilotIntermediateDuration: 26 minutes and 57 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 26 minutes and 57 seconds; This course has: 5 Units - COURSEDaniel Mease
Introduction to Google BigQuery MLIntermediateDuration: 28 minutes and 58 secondsAuthor: Daniel Mease; Difficulty: Intermediate; Duration: 28 minutes and 58 seconds; Content Topics: Google Cloud Platform; This course has: 7 Units - COURSEJamie Maguire
Creating a Bot Using Microsoft Bot Framework ComposerIntermediateDuration: 59 minutes and 3 secondsAuthor: Jamie Maguire; Difficulty: Intermediate; Duration: 59 minutes and 3 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - COURSEAlibaba Cloud
Introduction to Alibaba Cloud PAI (Platform for Artificial Intelligence)IntermediateDuration: 49 minutes and 5 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 49 minutes and 5 seconds; Content Topics: Machine Learning; This course has: 4 Units - HANDS-ON LABCalculated Systems
Creating Your First Dialogflow BotBeginnerDuration: Up to 1 hourAuthor: 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 - HANDS-ON LABLogan Rakai
Predicting Time-Series Data With Amazon ForecastBeginnerDuration: Up to 1 hour and 40 minutesAuthor: 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 - COURSEAndrea Giussani
Introduction to Natural Language Processing with Scikit-learnIntermediateDuration: 37 minutes and 34 secondsAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 37 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 5 Units - COURSECalculated Systems
Building Chatbots with Google Dialogflow: Part 2IntermediateDuration: 54 minutes and 27 secondsAuthor: Calculated Systems; Difficulty: Intermediate; Duration: 54 minutes and 27 seconds; Content Topics: Artificial Intelligence; This course has: 8 Units - LEARNING PATHStuart Scott
Building Generative AI applications with Amazon BedrockIntermediateDuration: Up to 10 hours and 28 minutesAuthor: 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 - LAB CHALLENGEAndrea Giussani
Machine Learning Python Challenge: ClassificationAdvancedDuration: Up to 1 hourAuthor: 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 - HANDS-ON LABCalculated Systems
Creating an Active Chatbot in DialogflowIntermediateDuration: Up to 1 hourAuthor: 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 - HANDS-ON LABCalculated Systems
Performing K-Means Clustering With PythonIntermediateDuration: Up to 1 hourAuthor: 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 - LAB CHALLENGEMatt MartinezAzure Bot Services ChallengeIntermediateDuration: Up to 1 hour and 30 minutesAuthor: 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
- HANDS-ON LABAndrew Burchill
Streamlining Amazon SageMaker Governance With Model CardsBeginnerDuration: Up to 1 hourAuthor: 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