Models
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Search results 1 - 24 of 37Category: Models
- COURSEDanny Jessee
Amazon SageMaker: Preparing, Building, Training, and Deploying ModelsBeginnerDuration: 35 minutes and 27 secondsAuthor: Danny Jessee; Difficulty: Beginner; Duration: 35 minutes and 27 seconds; This course has: 7 Units - COURSEBen Lambert
Introduction To Large Language ModelsBeginnerDuration: 25 minutes and 32 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 25 minutes and 32 seconds; Content Topics: Data Modeling; This course has: 4 Units - LEARNING PATHCalculated Systems
The Basics of Data Management, Data Manipulation and Data ModellingBeginnerDuration: Up to 12 hours and 2 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: Learning the basics of how to work with data with data sources, formats, databases, and SQL.; Duration: Up to 12 hours and 2 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs - HANDS-ON LABLuke Orellana
Creating a Classification Model with AutoML in Azure Machine Learning StudioBeginnerDuration: Up to 2 hours and 30 minutesAuthor: Luke Orellana; Difficulty: Beginner; Description: In this lab, use Azure's Automated Machine Learning service to quickly develop production-ready models with minimal time and effort.; Duration: Up to 2 hours and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps - COURSEDaniel Mease
Building a Machine Learning ModelIntermediateDuration: 56 minutes and 34 secondsAuthor: Daniel Mease; Difficulty: Intermediate; Duration: 56 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 11 Units - HANDS-ON LABLogan Rakai
Using SageMaker Notebooks to Train and Deploy Machine Learning ModelsIntermediateDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated SystemsMachine Learning - Training Custom ModelsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to understand how to train custom models.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
- LEARNING PATHOnsite Search EssentialsBeginnerDuration: Up to 46 minutesDifficulty: Beginner; Description: An overview of how and why search algorithms prioritize organic product listings, and how to encourage effective data sharing with retail partners.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams
- LEARNING PATHCalculated SystemsGetting Started with Machine Learning ModelsIntermediateDuration: Up to 7 hours and 42 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 7 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs
- HANDS-ON LABCalculated SystemsEvaluating Model Predictions for Regression ModelsIntermediateDuration: Up to 43 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- HANDS-ON LABCalculated SystemsEvaluating Binary Classification ModelsIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- HANDS-ON LABCalculated SystemsTesting Your Models in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps
- COURSETypes of AI agent protocolsBeginnerDuration: 19 minutes and 22 secondsDifficulty: Beginner; Duration: 19 minutes and 22 seconds; This course has: 8 Units
- LEARNING PATHIntroduction to Modern AI Agent ProtocolsIntermediateDuration: Up to 43 minutesDifficulty: Intermediate; Description: Discover the key protocols that enable AI agents to communicate, collaborate, and operate safely across platforms and industries.; Duration: Up to 43 minutes; This learning path has: 3 Courses, 1 Exam
- COURSEEvaluating, Deploying, and Observing ModelsIntermediateDuration: 40 minutes and 41 secondsDifficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Development; This course has: 14 Units
- COURSEConsiderations for AI agent protocolsBeginnerDuration: 11 minutes and 25 secondsDifficulty: Beginner; Duration: 11 minutes and 25 seconds; This course has: 6 Units
- COURSEIntroductionBeginnerDuration: 2 minutesDifficulty: Beginner; Duration: 2 minutes; This course has: 2 Units
- LEARNING PATHEvaluating Major LLM ProvidersIntermediateDuration: Up to 45 minutesDifficulty: Intermediate; Description: Discover how to navigate the AI model landscape with confidence. Learn who the major providers are, what they offer, and how to compare them using key criteria.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam
- COURSEIntroductionIntermediateDuration: 1 minuteDifficulty: Intermediate; Duration: 1 minute; This course has: 1 Unit
- COURSEStaying current and getting the most from your modelsIntermediateDuration: 11 minutes and 7 secondsDifficulty: Intermediate; Duration: 11 minutes and 7 seconds; This course has: 6 Units
- COURSEEvaluating AI model providers with confidenceIntermediateDuration: 15 minutes and 37 secondsDifficulty: Intermediate; Duration: 15 minutes and 37 seconds; This course has: 7 Units
- COURSEOverview of LLM providersIntermediateDuration: 6 minutes and 51 secondsDifficulty: Intermediate; Duration: 6 minutes and 51 seconds; This course has: 4 Units
- COURSETraining and fine-tuning language modelsIntermediateDuration: 34 minutes and 19 secondsDifficulty: Intermediate; Duration: 34 minutes and 19 seconds; This course has: 13 Units
- LEARNING PATHNEWRedesigning Operating Models & Workforce for AIIntermediateDuration: Up to 47 minutesType: new learning path; Difficulty: Intermediate; Description: TBC; Duration: Up to 47 minutes; This learning path has: 3 Courses, 1 Exam