AI & Machine Learning
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217 to 240 of 352 results
Search results 217 - 240 of 352Category: AI & Machine Learning
- 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 PATHAI for Behavioral Analysis Best PracticeIntermediateDuration: Up to 56 minutesDifficulty: Intermediate; Description: This course explores tools and techniques for leveraging AI for behavioral analysis, while addressing ethical concerns and implementation challenges.; Duration: Up to 56 minutes; This learning path has: 5 Courses, 2 Exams
- HANDS-ON LABAndrew Burchill
Developing An Application on AWS using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Generative AI to create a new application on AWS 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
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 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 - LEARNING PATHCalculated Systems
Building Chatbots with Google DialogflowIntermediateDuration: Up to 4 hours and 30 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 4 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs - 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
- LEARNING PATHAlana Layton
Leveraging Amazon Q Developer for AI-Powered Application Building and OptimizationBeginnerDuration: Up to 1 hour and 48 minutesAuthor: Alana Layton; Difficulty: Beginner; Description: Looking to get started with AI code generation? With this content, you'll learn the basics of Amazon Q Developer, including what it is and how to use it.; Duration: Up to 1 hour and 48 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 1 Hands-on lab - LAB CHALLENGEAndrea Giussani
Machine Learning Python Challenge: RegressionAdvancedDuration: Up to 1 hour and 30 minutesAuthor: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps - HANDS-ON LABCalculated Systems
Creating a Weather Forecasting Chatbot with DialogflowAdvancedDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Advanced; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps - COURSEFarish Kashefinejad
Agent Design: From a Single Agent to CoordinationIntermediateDuration: 16 minutes and 8 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 16 minutes and 8 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - COURSEFarish Kashefinejad
Agent Design: Starting with a Single AgentIntermediateDuration: 13 minutes and 54 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 13 minutes and 54 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - COURSEFarish Kashefinejad
Running Local Large Language Models Using OllamaBeginnerDuration: 7 minutes and 19 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 7 minutes and 19 seconds; Content Topics: Machine Learning; This course has: 1 Unit - SIMULABLogan Rakai
Large Language Model (LLM) Application Security SimuLabDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Intermediate; Description: This lab provides an interactive environment to explore the security implications of applications using Large Language Models (LLMs) and how to mitigate potential risks.; Duration: Up to 2 hours; Content Topics: Cyber Security; This hands-on lab has: 1 Lab step - 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
Automating Code Reviews Using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 Lab steps - COURSEFarish Kashefinejad
Agent Design: IntroductionIntermediateDuration: 2 minutesAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 2 minutes; Content Topics: Artificial Intelligence; This course has: 1 Unit - COURSEAlibaba Cloud
Applications of Alibaba Cloud PAI: Sentiment AnalysisIntermediateDuration: 34 minutes and 13 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 34 minutes and 13 seconds; Content Topics: Machine Learning; This course has: 2 Units - HANDS-ON LABJun Fritz
Building Interactive Machine Learning and Data Science Applications With StreamlitBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage the Streamlit framework to build interactive machine learning and data science applications on AWS in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Storage, Artificial Intelligence; This hands-on lab has: 4 Lab steps - 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 - COURSEAI in Software ArchitectureIntermediateDuration: 49 minutesDifficulty: Intermediate; Duration: 49 minutes; This course has: 14 Units
- COURSEBen Lambert
Introduction to the OpenAI PlaygroundBeginnerDuration: 17 minutes and 33 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 17 minutes and 33 seconds; This course has: 4 Units