[{"id":"65264","title":"Introduction","description":"

This module provides an overview of the course and its objectives.

","steps":[{"id":"444726","prompt":null,"isOptional":true,"activities":[{"id":"437459","href":"/paths/17/course_templates/11/video/437459?locale=he","isLocked":false,"duration":44000,"title":"Course introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"65265","title":"Introduction to Vertex AI Feature Store","description":"

This module introduces Vertex AI Feature Store.

","steps":[{"id":"444727","prompt":null,"isOptional":true,"activities":[{"id":"437460","href":"/paths/17/course_templates/11/video/437460?locale=he","isLocked":false,"duration":31000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444728","prompt":null,"isOptional":true,"activities":[{"id":"437461","href":"/paths/17/course_templates/11/video/437461?locale=he","isLocked":false,"duration":277000,"title":"Feature Store benefits","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444729","prompt":null,"isOptional":true,"activities":[{"id":"437462","href":"/paths/17/course_templates/11/video/437462?locale=he","isLocked":false,"duration":383000,"title":"Feature Store terminology and concepts","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444730","prompt":null,"isOptional":true,"activities":[{"id":"437463","href":"/paths/17/course_templates/11/video/437463?locale=he","isLocked":false,"duration":85000,"title":"The Feature Store data model","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444731","prompt":null,"isOptional":true,"activities":[{"id":"437464","href":"/paths/17/course_templates/11/video/437464?locale=he","isLocked":false,"duration":573000,"title":"Creating a Feature Store","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444732","prompt":null,"isOptional":true,"activities":[{"id":"437465","href":"/paths/17/course_templates/11/video/437465?locale=he","isLocked":false,"duration":334000,"title":"Serving features: Batch and online","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444733","prompt":null,"isOptional":false,"activities":[{"id":"437466","href":"/paths/17/course_templates/11/quizzes/437466?locale=he","isLocked":false,"duration":1800000,"title":"Quiz: Introduction to Vertex AI Feature Store","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444734","prompt":null,"isOptional":true,"activities":[{"id":"437467","href":"/paths/17/course_templates/11/documents/437467?locale=he","isLocked":false,"duration":1800000,"title":"Resources: Introduction to Vertex AI Feature Store","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"65266","title":"Raw Data to Features","description":"

Feature engineering is often the longest and most difficult phase of building your ML project. In the feature engineering process, you start with your raw data and use your own domain knowledge to create features that will make your machine learning algorithms work. In this module we explore what makes a good feature and how to represent them in your ML model.

","steps":[{"id":"444735","prompt":null,"isOptional":true,"activities":[{"id":"437468","href":"/paths/17/course_templates/11/video/437468?locale=he","isLocked":false,"duration":14000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444736","prompt":null,"isOptional":true,"activities":[{"id":"437469","href":"/paths/17/course_templates/11/video/437469?locale=he","isLocked":false,"duration":646000,"title":"Overview of feature engineering","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444737","prompt":null,"isOptional":true,"activities":[{"id":"437470","href":"/paths/17/course_templates/11/video/437470?locale=he","isLocked":false,"duration":101000,"title":"Raw data to features","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444738","prompt":null,"isOptional":true,"activities":[{"id":"437471","href":"/paths/17/course_templates/11/video/437471?locale=he","isLocked":false,"duration":263000,"title":"Good features versus bad features","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444739","prompt":null,"isOptional":true,"activities":[{"id":"437472","href":"/paths/17/course_templates/11/video/437472?locale=he","isLocked":false,"duration":358000,"title":"Features should be known at prediction-time","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444740","prompt":null,"isOptional":true,"activities":[{"id":"437473","href":"/paths/17/course_templates/11/video/437473?locale=he","isLocked":false,"duration":282000,"title":"Features should be numeric","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444741","prompt":null,"isOptional":true,"activities":[{"id":"437474","href":"/paths/17/course_templates/11/video/437474?locale=he","isLocked":false,"duration":371000,"title":"Features should have enough examples","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444742","prompt":null,"isOptional":true,"activities":[{"id":"437475","href":"/paths/17/course_templates/11/video/437475?locale=he","isLocked":false,"duration":22000,"title":"Bringing human insight","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444743","prompt":null,"isOptional":true,"activities":[{"id":"437476","href":"/paths/17/course_templates/11/video/437476?locale=he","isLocked":false,"duration":542000,"title":"Representing features","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444744","prompt":null,"isOptional":false,"activities":[{"id":"437477","href":"/paths/17/course_templates/11/quizzes/437477?locale=he","isLocked":false,"duration":1500000,"title":"Quiz: Raw Data to Features","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444745","prompt":null,"isOptional":true,"activities":[{"id":"437478","href":"/paths/17/course_templates/11/documents/437478?locale=he","isLocked":false,"duration":1800000,"title":"Resources: Raw Data to Features","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"65267","title":"Feature Engineering","description":"

This module reviews the differences between machine learning and statistics, and how to perform feature engineering in both BigQuery ML and Keras. We'll also cover some advanced feature engineering practices.

","steps":[{"id":"444746","prompt":null,"isOptional":true,"activities":[{"id":"437479","href":"/paths/17/course_templates/11/video/437479?locale=he","isLocked":false,"duration":17000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444747","prompt":null,"isOptional":true,"activities":[{"id":"437480","href":"/paths/17/course_templates/11/video/437480?locale=he","isLocked":false,"duration":186000,"title":"Machine learning versus statistics","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444748","prompt":null,"isOptional":true,"activities":[{"id":"437481","href":"/paths/17/course_templates/11/video/437481?locale=he","isLocked":false,"duration":327000,"title":"Basic feature engineering","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444749","prompt":null,"isOptional":true,"activities":[{"id":"437482","href":"/paths/17/course_templates/11/video/437482?locale=he","isLocked":false,"duration":34000,"title":"Lab intro: Performing Basic Feature Engineering in BigQuery ML","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444750","prompt":null,"isOptional":false,"activities":[{"id":"437483","href":"/paths/17/course_templates/11/labs/437483?locale=he","isLocked":false,"duration":3600000,"title":"Performing Basic Feature Engineering in BQML","description":"In this lab, you will utilize feature engineering to improve a model which predicts the fare amount for a taxi ride in New York City.","type":"lab","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444751","prompt":null,"isOptional":true,"activities":[{"id":"437484","href":"/paths/17/course_templates/11/video/437484?locale=he","isLocked":false,"duration":332000,"title":"Advanced feature engineering: Feature crosses","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444752","prompt":null,"isOptional":true,"activities":[{"id":"437485","href":"/paths/17/course_templates/11/video/437485?locale=he","isLocked":false,"duration":163000,"title":"Bucketize and Transform Functions","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444753","prompt":null,"isOptional":true,"activities":[{"id":"437486","href":"/paths/17/course_templates/11/video/437486?locale=he","isLocked":false,"duration":406000,"title":"Predict housing prices","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444754","prompt":null,"isOptional":true,"activities":[{"id":"437487","href":"/paths/17/course_templates/11/video/437487?locale=he","isLocked":false,"duration":175000,"title":"Estimate taxi fare","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444755","prompt":null,"isOptional":true,"activities":[{"id":"437488","href":"/paths/17/course_templates/11/video/437488?locale=he","isLocked":false,"duration":346000,"title":"Temporal and geolocation features","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444756","prompt":null,"isOptional":true,"activities":[{"id":"437489","href":"/paths/17/course_templates/11/video/437489?locale=he","isLocked":false,"duration":31000,"title":"Lab intro: Basic Feature Engineering in Keras","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444757","prompt":null,"isOptional":false,"activities":[{"id":"437490","href":"/paths/17/course_templates/11/labs/437490?locale=he","isLocked":false,"duration":5400000,"title":"Performing Basic Feature Engineering in Keras","description":"In this lab, you will utilize feature engineering to improve the prediction of housing prices using a Keras Sequential Model.","type":"lab","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444758","prompt":null,"isOptional":true,"activities":[{"id":"437491","href":"/paths/17/course_templates/11/video/437491?locale=he","isLocked":false,"duration":30000,"title":"Lab intro: Advanced Feature Engineering in Keras","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444759","prompt":null,"isOptional":false,"activities":[{"id":"437492","href":"/paths/17/course_templates/11/labs/437492?locale=he","isLocked":false,"duration":5400000,"title":"Performing Advanced Feature Engineering in Keras","description":"In this lab, you will use Keras to build a taxifare price prediction model and utilize advanced feature engineering to improve the fare amount prediction for NYC taxi cab rides.","type":"lab","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444760","prompt":null,"isOptional":false,"activities":[{"id":"437493","href":"/paths/17/course_templates/11/quizzes/437493?locale=he","isLocked":false,"duration":2400000,"title":"Quiz: Feature Engineering","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444761","prompt":null,"isOptional":true,"activities":[{"id":"437494","href":"/paths/17/course_templates/11/documents/437494?locale=he","isLocked":false,"duration":1800000,"title":"Resources: Feature Engineering","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"65268","title":"Preprocessing and Feature Creation","description":"

In this module you will learn more about Dataflow, which is a complementary technology to Apache Beam and both of them can help you build and run preprocessing and feature engineering.

","steps":[{"id":"444762","prompt":null,"isOptional":true,"activities":[{"id":"437495","href":"/paths/17/course_templates/11/video/437495?locale=he","isLocked":false,"duration":24000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444763","prompt":null,"isOptional":true,"activities":[{"id":"437496","href":"/paths/17/course_templates/11/video/437496?locale=he","isLocked":false,"duration":255000,"title":"Apache Beam and Dataflow","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444764","prompt":null,"isOptional":true,"activities":[{"id":"437497","href":"/paths/17/course_templates/11/video/437497?locale=he","isLocked":false,"duration":340000,"title":"Dataflow terms and concepts","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444765","prompt":null,"isOptional":false,"activities":[{"id":"437498","href":"/paths/17/course_templates/11/quizzes/437498?locale=he","isLocked":false,"duration":2100000,"title":"Quiz: Preprocessing and Feature Creation","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444766","prompt":null,"isOptional":true,"activities":[{"id":"437499","href":"/paths/17/course_templates/11/documents/437499?locale=he","isLocked":false,"duration":1800000,"title":"Resources: Preprocessing and Feature Creation","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"65269","title":"Feature Crosses - TensorFlow Playground","description":"

In traditional machine learning, feature crosses don’t play much of a role, but in modern day ML methods, feature crosses are an invaluable part of your toolkit. In this module, you will learn how to recognize the kinds of problems where feature crosses are a powerful way to help machines learn.

","steps":[{"id":"444767","prompt":null,"isOptional":true,"activities":[{"id":"437500","href":"/paths/17/course_templates/11/video/437500?locale=he","isLocked":false,"duration":12000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444768","prompt":null,"isOptional":true,"activities":[{"id":"437501","href":"/paths/17/course_templates/11/video/437501?locale=he","isLocked":false,"duration":136000,"title":"What is a feature cross","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444769","prompt":null,"isOptional":true,"activities":[{"id":"437502","href":"/paths/17/course_templates/11/video/437502?locale=he","isLocked":false,"duration":51000,"title":"Discretization","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444770","prompt":null,"isOptional":true,"activities":[{"id":"437503","href":"/paths/17/course_templates/11/video/437503?locale=he","isLocked":false,"duration":27000,"title":"Lab intro: TensorFlow Playground: Use feature crosses to create a good classifier","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444771","prompt":null,"isOptional":true,"activities":[{"id":"437504","href":"/paths/17/course_templates/11/video/437504?locale=he","isLocked":false,"duration":32000,"title":"Lab intro: TensorFlow Playground: Too much of a good thing","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444772","prompt":null,"isOptional":false,"activities":[{"id":"437505","href":"/paths/17/course_templates/11/quizzes/437505?locale=he","isLocked":false,"duration":1800000,"title":"Quiz: Feature Crosses - TensorFlow Playground","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444773","prompt":null,"isOptional":true,"activities":[{"id":"437506","href":"/paths/17/course_templates/11/documents/437506?locale=he","isLocked":false,"duration":1800000,"title":"Resources: Feature Crosses - TensorFlow Playground","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"65270","title":"Introduction to TensorFlow Transform","description":"

TensorFlow Transform (tf.Transform) is a library for preprocessing data with TensorFlow. tf.Transform is useful for preprocessing that requires a full pass the data, such as: - normalizing an input value by mean and stdev - integerizing a vocabulary by looking at all input examples for values - bucketizing inputs based on the observed data distribution In this module we will explore use cases for tf.Transform.

","steps":[{"id":"444774","prompt":null,"isOptional":true,"activities":[{"id":"437507","href":"/paths/17/course_templates/11/video/437507?locale=he","isLocked":false,"duration":26000,"title":"Introduction","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444775","prompt":null,"isOptional":true,"activities":[{"id":"437508","href":"/paths/17/course_templates/11/video/437508?locale=he","isLocked":false,"duration":495000,"title":"TensorFlow Transform","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444776","prompt":null,"isOptional":true,"activities":[{"id":"437509","href":"/paths/17/course_templates/11/video/437509?locale=he","isLocked":false,"duration":191000,"title":"Analyze phase","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444777","prompt":null,"isOptional":true,"activities":[{"id":"437510","href":"/paths/17/course_templates/11/video/437510?locale=he","isLocked":false,"duration":251000,"title":"Transform phase","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444778","prompt":null,"isOptional":true,"activities":[{"id":"437511","href":"/paths/17/course_templates/11/video/437511?locale=he","isLocked":false,"duration":166000,"title":"Supporting serving","description":null,"type":"video","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444779","prompt":null,"isOptional":false,"activities":[{"id":"437512","href":"/paths/17/course_templates/11/quizzes/437512?locale=he","isLocked":false,"duration":1200000,"title":"Quiz: Introduction to TensorFlow Transform","description":null,"type":"quiz","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444780","prompt":null,"isOptional":true,"activities":[{"id":"437513","href":"/paths/17/course_templates/11/documents/437513?locale=he","isLocked":false,"duration":1800000,"title":"Resources: Introduction to TensorFlow Transform","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"65271","title":"Summary","description":"

This module is a summary of the Feature Engineering course.

","steps":[{"id":"444781","prompt":null,"isOptional":true,"activities":[{"id":"437514","href":"/paths/17/course_templates/11/documents/437514?locale=he","isLocked":false,"duration":1800000,"title":"Summary","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444782","prompt":null,"isOptional":true,"activities":[{"id":"437515","href":"/paths/17/course_templates/11/documents/437515?locale=he","isLocked":false,"duration":1800000,"title":"Resource: All quiz questions","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444783","prompt":null,"isOptional":true,"activities":[{"id":"437516","href":"/paths/17/course_templates/11/documents/437516?locale=he","isLocked":false,"duration":1800000,"title":"Resource: All readings","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false},{"id":"444784","prompt":null,"isOptional":true,"activities":[{"id":"437517","href":"/paths/17/course_templates/11/documents/437517?locale=he","isLocked":false,"duration":1800000,"title":"Resource: All slides","description":null,"type":"document","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":false},{"id":"next-steps","title":"Your Next Steps","description":null,"steps":[{"id":"badge-step","prompt":null,"isOptional":true,"activities":[{"id":"badge","href":null,"isLocked":true,"duration":null,"title":"Course Badge","description":null,"type":"badge","isComplete":false,"inProgress":false,"score":null,"disabled":false}],"isComplete":false,"isTestedOut":false,"allActivitiesRequired":false}],"expanded":true}]

Google Cloud Skills Boost

08

Feature Engineering