Online Machine Learning Training & eLearning Courses

This Machine Learning Bootcamp online course is offered multiple times in a variety of locations and training topics.

This Introduction to Machine Learning Bootcamp online course is offered multiple times in a variety of locations and training topics.

Raw data is typically not perfect for developing effective machine learning (ML) models. Often, it needs to be processed using various feature engineering techniques to make it more suitable for building accurate and optimized ML models. Take this course to learn about techniques that help prepare the data to be compatible and improve the performance of machine learning models. Investigate techniques that are used to improve data usability, such as one-hot encoding, binning, transformations,...

Azure Machine Learning Studio and Designer provide powerful options for authoring machine learning (ML) models. In this course, you'll explore model authoring with Azure Machine Learning Designer, including how to work with datasets, select dataset features, and add data transformations. Then, you'll discover how to normalize data, view normalized data, and split datasets. Finally, you'll explore how to use regression, classification, and clustering models in Azure Machine Learning Designer....

This 13-video course explores various standards and frameworks that can be adopted to build, deploy, and implement machine learning (ML) models and workflows. Begin with a look at the critical challenges that may be encountered when implementing ML. Examine essential stages of ML processes that need to be adopted by enterprises. Then explore the development lifecycle exclusively used to build productive ML models, and the essential phases of ML workflows. Recall the critical processes...

Azure Machine Learning Studio can be used to build machine learning pipelines and manage, normalize, and transform data for use in regression, classification, and clustering models. In this course, you will work with Azure Machine Learning Studio, beginning with ingesting data from Azure storage and Azure Blob storage, labeling data in Azure Machine Learning Studio, running and testing scripts, and creating an automated model. Then you will discover how to run an automated experiment, select...

Creating a data pipeline is essential to making any data-related product. AWS Data Pipeline, AWS Batch, and AWS Workflow frameworks allow you to manage data using ETL data management across various AWS tools and services, making AWS a perfect platform for combining data from multiple sources. In this course, you'll learn how to automate data movement and transformation processes on AWS and define data-driven pipelines and workflows. Investigating how data pipelines enable seamless, scalable,...

In this course, you will explore various approaches to building and implementing machine learning (ML) models and pipelines and will learn how to manage classification and regression problems. Begin this 11-video course by taking a look at the differences between ML models and ML algorithms. You will go on to learn about the different types of ML models and will then explore the approaches to developing and building them. Discover how to create and save ML models by using scikit-learn, and...

This Final Exam: Advanced Analytics and Machine Learning in Snowflake online course is offered multiple times in a variety of locations and training topics.

Azure Machine Learning Studio is part of a suite of services that facilitates machine learning (ML) by providing a single interface for building, managing, deploying, testing, and collaborating. In this course, you will discover Azure AI and ML services, beginning with the features and capabilities of Azure Machine Learning Studio and Azure OpenAI Studio. Then you will dig into how to create an Azure Machine Learning Studio account and Azure AI service resources. Next, you will investigate...