Machine Learning on Google Cloud

How Google Does Machine Learning, How Google Does Machine Learning, How Google Does Machine Learning, Launching into Machine Learning, Launching into Machine Learning, Launching into Machine Learning, TensorFlow on Google Cloud, TensorFlow on Google Cloud, TensorFlow on Google Cloud, Feature Engineering, Feature Engineering, Feature Engineering, Machine Learning in the Enterprise, Machine Learning in the Enterprise, Machine Learning in the Enterprise

Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines, Course ObjectivesBuild, train, and deploy a machine learning model without writing a single line of code using Vertex AI AutoMLUnderstand when to use AutoML and Big Query MLCreate Vertex AI managed datasetsAdd features to a Feature StoreDescribe Analytics Hub, Dataplex, and Data CatalogDescribe hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance Create a Vertex AI Workbench User-Managed Notebook, build a custom training job, and then deploy it using a Docker containerDescribe batch and online predictions and model monitoringDescribe how to improve data qualityPerform exploratory data analysisBuild and train supervised learning modelsOptimize and evaluate models using loss functions and performance metricsCreate repeatable and scalable train, eval, and test datasetsImplement ML models using TensorFlow/KerasDescribe how to represent and transform featuresUnderstand the benefits of using feature engineeringExplain Vertex AI Pipelines

Basic proficiency with a scripting language, preferably Python, Some familiarity with basic machine learning concepts