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- COURSECalculated SystemsWorking With Data SetsBeginnerDuration: 35 minutes and 14 secondsAuthor: Calculated Systems; Difficulty: Beginner; Description: This lesson focuses on understanding common data formats and interfaces. It explores some common data formats that you'll encounter as a data engineer.; Duration: 35 minutes and 14 seconds; Content Topics: Data Engineering; This course has: 10 Lectures
- LEARNING PATHStephen ColeAWS Machine Learning – Specialty Certification PreparationAdvancedDuration: Up to 68 hours and 17 minutesAuthor: Stephen Cole; Difficulty: Advanced; Description: Become an AWS certified Machine Learning Specialist, choose your training, learn more about your study guide, start your course on Cloud Academy!; Duration: Up to 68 hours and 17 minutes; Content Topics: Identity and Access Management, Machine Learning; This learning path has: 42 Courses, 14 Exams, 15 Hands-on labs
- COURSECalculated SystemsIntroduction to Machine Learning - Part OneBeginnerDuration: 28 minutes and 33 secondsAuthor: Calculated Systems; Difficulty: Beginner; Description: This class is designed to be a gentle introduction, which means we'll be starting at the ground up and focusing on giving students the tools and materials they need to navigate the space; Duration: 28 minutes and 33 seconds; Content Topics: Machine Learning; This course has: 5 Lectures
- LEARNING PATHAndrew LarkinLearn SQL - From Newbie to NinjaBeginnerDuration: Up to 14 hours and 47 minutesAuthor: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs
- COURSEJeremy CookIntroduction to Machine Learning ConceptsBeginnerDuration: 48 minutes and 23 secondsAuthor: Jeremy Cook; Difficulty: Beginner; Description: In this lesson, you'll learn about Machine Learning and where it fits within the wider Artificial Intelligence (AI) field.; Duration: 48 minutes and 23 seconds; Content Topics: Machine Learning; This course has: 7 Lectures
- COURSEStephen ColeIntroduction to AWS Machine Learning – Specialty Certification PreparationBeginnerDuration: 10 minutes and 18 secondsAuthor: Stephen Cole; Difficulty: Beginner; Description: This lesson introduces the AWS Certified Machine Learning - Specialty course which prepares you to take the certification exam.; Duration: 10 minutes and 18 seconds; Content Topics: Machine Learning; This course has: 1 Lecture
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- HANDS-ON LABAndrew BurchillWorking 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 LABLogan RakaiForecast Flight Delays with Amazon SageMakerBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: This lab uses Amazon SageMaker to create a machine learning model that forecasts flight delays for US domestic flights.; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This hands-on lab has: 7 Lab steps
- HANDS-ON LABGreg DeRenneGetting Started with Amazon Elastic MapReduceIntermediateDuration: Up to 1 hour and 45 minutesAuthor: Greg DeRenne; Difficulty: Intermediate; Description: Learn how to create an Amazon EMR (Elastic MapReduce) cluster and submit work to a cluster in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: Analytics, Storage; This hands-on lab has: 7 Lab steps
- HANDS-ON LABAndrew BurchillAutomate Image Labeling with Amazon RekognitionBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement object detection on every new image uploaded on Amazon S3.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 7 Lab steps
- HANDS-ON LABAndrew BurchillUsing 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 BurchillConstructing 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 LABMatt MartinezUsing Text Analytics in the Azure AI Services APIBeginnerDuration: Up to 1 hourAuthor: Matt Martinez; Difficulty: Beginner; Description: Use the AI Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps
- HANDS-ON LABLogan RakaiUsing 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 LABLogan RakaiTensorFlow Machine Learning on the Amazon Deep Learning AMIIntermediateDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Develop, visualize, serve, and consume a TensorFlow machine learning model using the Amazon Deep Learning AMI in this Lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Machine Learning; This hands-on lab has: 9 Lab steps
- HANDS-ON LABLogan RakaiUsing an MXNet Neural Network to Style ImagesIntermediateDuration: Up to 1 hour and 10 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Join this Lab and gain experience using an MXNet convolutional neural network to style images and monitor the GPU used for training in Amazon CloudWatch.; Duration: Up to 1 hour and 10 minutes; Content Topics: Machine Learning; This hands-on lab has: 7 Lab steps
- HANDS-ON LABLogan RakaiAnalyzing CPU vs GPU Performance for AWS Machine LearningBeginnerDuration: Up to 45 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Take control of a p2.xlarge instance equipped with an NVIDIA Tesla K80 GPU to perform CPU vs GPU performance analysis for AWS Machine Learning in this Lab.; Duration: Up to 45 minutes; Content Topics: Machine Learning; This hands-on lab has: 8 Lab steps
- HANDS-ON LABCalculated SystemsMachine Learning - Training Custom ModelsBeginnerDuration: Up to 3 hoursAuthor: 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 3 hours; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps
- HANDS-ON LABThomas HolmesPractical Data Science: Introduction to PythonBeginnerDuration: Up to 2 hoursAuthor: Thomas Holmes; Difficulty: Beginner; Description: This Lab provides you with a Jupyter notebook that introduces you to basic concepts in Python by explaining concepts and letting you write and run Python code.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLogan RakaiAmazon SageMaker Notebook PlaygroundBeginnerDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: This playground lab allows you to choose from Amazon's curated library of sample notebooks to learn about what is most important to you.; Duration: Up to 2 hours; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- HANDS-ON LABKunal HariaFundamentals of RBeginnerDuration: Up to 8 hoursAuthor: Kunal Haria; Difficulty: Beginner; Description: This lab includes several modules for you to work through to cement your R fundamentals proficiency.; Duration: Up to 8 hours; This hands-on lab has: 2 Lab steps
- HANDS-ON LABCalculated SystemsHandling Missing DataIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through a number of ways to handle missing data including using a default value and building a model to predict the missing data.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- HANDS-ON LABStefano CascavillaAnalyze and Retrieve Information from Text Using Google Cloud Natural LanguageIntermediateDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 45 minutes; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps
- HANDS-ON LABCalculated SystemsMoving 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: SQL; This hands-on lab has: 3 Lab steps
- HANDS-ON LABCalculated SystemsCreating Your First Dialogflow BotBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: Learn how to create a simulated banking concierge bot using Google DIalogflow in this lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 9 Lab steps
- HANDS-ON LABLogan RakaiApplied 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 LABLogan RakaiIntroduction 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; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step
- HANDS-ON LABAndrew BurchillCombining 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 LABAndrew BurchillAnalyzing Sentiments and Entities in Text with Amazon ComprehendBeginnerDuration: Up to 50 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS's natural language processing service Amazon Comprehend in this hands-on laboratory.; Duration: Up to 50 minutes; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrea GiussaniMachine 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