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Search results 1 - 24 of 32- HANDS-ON LABAndrew Burchill
Using Regular Expressions Effectively in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Regular expressions are a powerful tool for searching and manipulating text. In this hands-on lab you will learn how to use them effectively in real-world scenarios.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Working with Special Characters and Anchors in Regular ExpressionsBeginnerDuration: Up to 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will work with regular expressions, learning how to use quantifiers, anchors, and capture groups to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Constructing Regular Expression Character ClassesBeginnerDuration: Up to 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Employing Generative AI for Development With Amazon BedrockBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps - HANDS-ON LABLogan Rakai
Applied OpenAI Prompt EngineeringIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Apply prompt engineering to develop a content categorization system in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step - HANDS-ON LABAndrew Burchill
Combining and Enriching Data with Amazon Managed Workflows for Apache AirflowIntermediateDuration: Up to 2 hoursAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Learn about Amazon Managed Workflows for Apache Airflow in this hands-on lab as you create a Directed Acyclic Graph in Apache Airflow.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrea Giussani
PySpark - How to build a Machine Learning PipelineBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrea Giussani
PySpark - PreprocessingBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this lab, you will learn how to create a dataset using the PySpark library, and to manipulate it using standard filtering and slicing techniques.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrea Giussani
Machine Learning with scikit-learnBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps - 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 LABAndrew Burchill
Moderating Content with Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to moderate textual content as a part of a content processing system 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
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 - 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 - HANDS-ON LABLogan Rakai
Introduction to the OpenAI Chat Completions APIBeginnerDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to use the OpenAI Chat completions API to generate text in this lab.; Duration: Up to 30 minutes; This hands-on lab has: 1 Lab step - HANDS-ON LABJun Fritz
Embedding Documents With LangChain and Amazon BedrockIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to use AWS SAM, Amazon Bedrock, and LangChain to deploy an automated document embedding application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABLogan Rakai
Predicting Time-Series Data With Amazon ForecastBeginnerDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Analyze household energy consumption and go from raw data to accurate forecasts using the built-in algorithms provided by Amazon Forecast in this hands-on lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 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 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 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 - HANDS-ON LABQA
AI in Software ArchitectureIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate software architecture decisions.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
Test Case Generation with AI AssistanceIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
Automating Documentation with AIIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
AI-Powered Code ReviewsIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 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