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Search results 169 - 192 of 227Category: Artificial Intelligence
- 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 - 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 - 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 - COURSEAI in Software ArchitectureIntermediateDuration: 49 minutesDifficulty: Intermediate; Duration: 49 minutes; This course has: 14 Units
- COURSEFarish Kashefinejad
Agent Design: Multiple Agents with Task DecompositionIntermediateDuration: 13 minutes and 48 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 13 minutes and 48 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - 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 - COURSEDeniz Yilmaz
High-Performance Text Analysis with HuggingFace GPT-2 on AWS Neuron with AWS InferentiaBeginnerDuration: 44 minutes and 45 secondsAuthor: Deniz Yilmaz; Difficulty: Beginner; Duration: 44 minutes and 45 seconds; Content Topics: Amazon Web Services; This course has: 9 Units - HANDS-ON LABAndrew Burchill
Tracking Generative AI Usage With Amazon Bedrock Inference ProfilesBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - 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 PATHData Governance, Ethics, and Risk Management in AIBeginnerDuration: Up to 55 minutesDifficulty: Beginner; Description: Welcome to this course on Data Governance, Ethics, and Risk Management in AI.; Duration: Up to 55 minutes; This learning path has: 4 Courses, 1 Exam
- COURSEFarish Kashefinejad
Agent Design: Guardrails, Trust, and PrivacyIntermediateDuration: 31 minutes and 25 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 31 minutes and 25 seconds; Content Topics: Artificial Intelligence; This course has: 4 Units - COURSEAlibaba Cloud
Applications of Alibaba Cloud PAI: Product RecommendationIntermediateDuration: 33 minutes and 55 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 33 minutes and 55 seconds; Content Topics: Machine Learning; This course has: 2 Units - COURSEAlibaba Cloud
Applications of Alibaba Cloud PAI: Image ClassificationIntermediateDuration: 40 minutes and 41 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Machine Learning; This course has: 2 Units - COURSEAlibaba Cloud
Visual Development with Alibaba Cloud PAI-StudioIntermediateDuration: 35 minutes and 59 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 35 minutes and 59 seconds; Content Topics: Machine Learning; This course has: 2 Units - HANDS-ON LABAndrew Burchill
Implementing an ETL Pipeline with AWS SDK for PandasBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS SDK for Pandas to process real-time transaction data in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABJun Fritz
Generating Custom Images and Variations with Amazon BedrockIntermediateDuration: Up to 40 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Working With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps