AI & Machine Learning
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193 to 216 of 352 results
Search results 193 - 216 of 352Category: AI & Machine Learning
- HANDS-ON LABJun Fritz
Embedding Documents With LangChain and Amazon BedrockIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to use AWS SAM, Amazon Bedrock, and LangChain to deploy an automated document embedding application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 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 2IntermediateAuthor: Calculated Systems; Difficulty: Intermediate; 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 - 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 - HANDS-ON LABJun Fritz
Building 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: Amazon Web Services; This hands-on lab has: 6 Lab steps - HANDS-ON LABAndrew Burchill
Customizing Large Language Models Using OllamaBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Ollama to run, manage, and customize Large Language Models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Management, Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Optimizing Prompts For Large Language Models Using Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to engineer and develop prompts for large language models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Analyzing and Moderating Text With Azure AI Content Safety Service Using Python SDKAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to analyze and moderate text with the Azure AI Content Safety service using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Creating Power Apps Using Microsoft Copilot AIIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to create Power Apps using Microsoft Copilot AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 3 Lab steps - HANDS-ON LABAdil Islam
Predict Income Levels Using Azure Machine Learning DesignerBeginnerDuration: Up to 50 minutesAuthor: Adil Islam; Difficulty: Beginner; Description: Predict income levels using census data and compare the performance of two trained models in this Azure Machine Learning Designer hands-on lab.; Duration: Up to 50 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 6 Lab steps - COURSEBen Lambert
Introduction to the OpenAI Assistants APIBeginnerDuration: 28 minutes and 48 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 28 minutes and 48 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - COURSEHallam Webber
Setting Up an Azure Machine Learning Development EnvironmentIntermediateDuration: 37 minutes and 21 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 37 minutes and 21 seconds; Content Topics: Microsoft Azure; This course has: 9 Units - LEARNING PATHAI Literacy: Safe and Compliant AI Use for All StaffBeginnerDuration: Up to 2 hours and 8 minutesDifficulty: Beginner; Description: This is the digital module for AI Literacy: Safe and Compliant AI Use for All Staff.; Duration: Up to 2 hours and 8 minutes; This learning path has: 6 Courses, 1 Exam
- LEARNING PATHDaniel Mease
Google Generative AI ServicesBeginnerDuration: Up to 1 hour and 10 minutesAuthor: Daniel Mease; Difficulty: Beginner; Description: Everything you need to get started working with Google Generative AI products; Duration: Up to 1 hour and 10 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses - LEARNING PATHStuart Scott
Mastering Generative AI on AWS: From Infrastructure to ApplicationsAdvancedDuration: Up to 13 hours and 50 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: Uncover the components and features from the underlying infrastructure to the services that leverage the creation of building generative AI apps on AWS; Duration: Up to 13 hours and 50 minutes; Content Topics: Amazon Web Services; This learning path has: 15 Courses, 7 Hands-on labs - HANDS-ON LABCalculated Systems
Creating an FAQ Service with DialogflowIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you will integrate an online FAQ to provide a high-quality information service to your end-users.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps - HANDS-ON LABParveen Singh
Interacting with Azure AI Speech Service with Azure AI StudioIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use Azure AI Speech Service to convert speech to text and text to speech using Azure AI Studio.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Leveraging Artificial Intelligence to Analyze Amazon CloudWatch LogsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to utilize natural language processing and machine learning to analyze Amazon CloudWatch Logs in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABLogan Rakai
Use Vertex AI Vector Search to Recommend Similar ProductsIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you will use Vertex AI's vector search capabilities to recommend similar products in a retail setting.; Duration: Up to 1 hour and 15 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps