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Search results 121 - 144 of 225Category: Artificial Intelligence
- 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 - COURSEAlana Layton
Amazon CodeWhisperer: Generating Code with AIBeginnerDuration: 20 minutes and 48 secondsAuthor: Alana Layton; Difficulty: Beginner; Duration: 20 minutes and 48 seconds; Content Topics: Development, Artificial Intelligence; This course has: 5 Units - COURSEAndrea Giussani
PyTorch 101IntermediateDuration: 1 hour and 1 minuteAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 1 minute; Content Topics: Machine Learning; This course has: 7 Units - COURSEAndrea Giussani
Building Machine Learning Pipelines with scikit-learn - Part TwoIntermediateDuration: 1 hour and 9 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 9 minutes; Content Topics: Machine Learning; This course has: 6 Units - COURSEAndrea Giussani
Data Visualization with Python using MatplotlibIntermediateDuration: 1 hour and 21 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 21 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Units - HANDS-ON LABAndrea Giussani
Introduction to Financial Data Manipulation with PythonBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Development, Analytics; This hands-on lab has: 2 Lab steps - HANDS-ON LABCalculated Systems
Moving From Spreadsheet to DatabaseBeginnerDuration: Up to 1 hour and 20 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at beginners who want to move beyond spreadsheets and migrate their data into a database.; Duration: Up to 1 hour and 20 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 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
Enhancing Generative AI Models With Retrieval-Augmented Generation (RAG)BeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how to enhance the accuracy of generative AI models in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps - LAB CHALLENGEThomas Holmes
Using Python to Cleanse and Rationalize Data ChallengeBeginnerDuration: Up to 2 hours and 30 minutesAuthor: Thomas Holmes; Difficulty: Beginner; Description: You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps - LEARNING PATHAlibaba Cloud
Alibaba Cloud Machine Learning Platform for AIIntermediateDuration: Up to 6 hours and 36 minutesAuthor: Alibaba Cloud; Difficulty: Intermediate; Description: Learn how to carry out machine learning activities using Alibaba Cloud PAI (Platform for Artificial Intelligence) and its many features and capabilities!; Duration: Up to 6 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 6 Courses, 6 Exams - LEARNING PATHIdentifying AI Value and Prioritizing Use CasesIntermediateDuration: Up to 45 minutesDifficulty: Intermediate; Description: Learn how to assess which AI use cases will deliver measurable value to your business and how to prioritize them.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam
- LEARNING PATHAI for Hyper-PersonalizationBeginnerDuration: Up to 1 hour and 15 minutesDifficulty: Beginner; Description: Learn best practice for leveraging AI-driven hyper-personalization in a responsible, ethical way.; Duration: Up to 1 hour and 15 minutes; This learning path has: 5 Courses, 2 Exams
- LEARNING PATHAI for Business Growth StrategyIntermediateDuration: Up to 52 minutesDifficulty: Intermediate; Description: A guide to initiating AI projects, measuring effectively, and managing organizational cultural changes to drive business growth.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams
- 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 LABAndrew Burchill
Implementing a RAG Pipeline With AWS Step FunctionsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement a RAG pipeline to support a knowledge base using AWS Step Functions in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrew Burchill
Monitoring Data Quality Issues with Amazon SageMakerBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 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 - 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 - 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