AI & Machine Learning
Explore all library
193 to 216 of 331 results
Search results 193 - 216 of 331Category: AI & Machine Learning
- 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 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 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 - 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 - 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 - 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 LABAndrew Burchill
Using Generative AI from Amazon AuroraBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to call an Amazon Bedrock model from an Amazon Aurora MySQL database in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - COURSEStuart Scott
Using Amazon SageMaker ML Lineage Tracking within your ML WorkflowIntermediateDuration: 15 minutes and 53 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 15 minutes and 53 seconds; Content Topics: Amazon Web Services; This course has: 4 Units - COURSEJorge Negrón
Forecasting Business Outcomes with Amazon ForecastBeginnerDuration: 24 minutes and 54 secondsAuthor: Jorge Negrón; Difficulty: Beginner; Duration: 24 minutes and 54 seconds; Content Topics: Amazon Web Services; This course has: 7 Units - LEARNING PATHBuilding an AI AgentIntermediateDuration: Up to 12 hours and 30 minutesDifficulty: Intermediate; Description: In this lab course, you will use python to learn to design and develop intelligent single and multi-agent systems.; Duration: Up to 12 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 8 Hands-on labs
- HANDS-ON LABAndrew Burchill
Accelerating SageMaker Training With HyperParameter TuningBeginnerDuration: Up to 1 hour and 30 minutesAuthor: 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 - HANDS-ON LABAndrew Burchill
Enhancing Productivity With Amazon Q BusinessBeginnerDuration: Up to 1 hour and 30 minutesAuthor: 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: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Getting Started With Amazon Q Developer and AWS LambdaBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to enable and utilize Amazon Q Developer to improve your AWS Lambda functions in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps - COURSEWorking with language modelsIntermediateDuration: 14 minutes and 7 secondsDifficulty: Intermediate; Duration: 14 minutes and 7 seconds; Content Topics: Artificial Intelligence; This course has: 7 Units
- LEARNING PATHCalculated Systems
Building Chatbots with Google DialogflowIntermediateDuration: Up to 6 hours and 2 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This course provides an intro to the Dialogflow service and will get you up and running with building your own chatbots.; Duration: Up to 6 hours and 2 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs - LEARNING PATHFundamentals of Microsoft 365 CopilotBeginnerDuration: Up to 1 hour and 58 minutesDifficulty: Beginner; Description: Discover how to use Microsoft 365 Copilot effectively, responsibly, and unlock new productivity in your daily work.; Duration: Up to 1 hour and 58 minutes; This learning path has: 9 Courses
- LEARNING PATHFarish Kashefinejad
AI Agent DesignIntermediateDuration: Up to 3 hours and 4 minutesAuthor: Farish Kashefinejad; Difficulty: Intermediate; Description: This course introduces the foundations of AI agent design by starting with the structure of a single agent.; Duration: Up to 3 hours and 4 minutes; Content Topics: Artificial Intelligence; This learning path has: 7 Courses, 4 Exams