DP-100T01: Designing and Implementing a Data Science Solution on Azure
Course Overview
The “Operating Machine Learning Solutions at Cloud Scale Using Azure Machine Learning” course is designed to equip participants with the knowledge and skills necessary to effectively utilize Azure Machine Learning for managing and scaling machine learning solutions. Prior familiarity with Python and machine learning concepts is assumed for this course.
Throughout the course, participants will learn various aspects of operating machine learning solutions using Azure Machine Learning. This includes data ingestion and preparation, model training and deployment, and monitoring of machine learning solutions. Participants will gain a comprehensive understanding of leveraging Azure Machine Learning and MLflow to efficiently manage these processes.
Key topics covered in the course include:
Data ingestion and preparation within the Azure environment, including techniques for data transformation, cleaning, and feature engineering to optimize model performance.
Model training and deployment using Azure Machine Learning, ensuring scalability and readiness for production.
Monitoring machine learning solutions using Azure Machine Learning and MLflow, including tracking and evaluating model performance over time and making necessary adjustments for optimal results.
By completing this course, participants will acquire the skills to effectively operate machine learning solutions at scale using Azure Machine Learning. They will be proficient in managing data ingestion, preparation, model training, deployment, and monitoring processes. This expertise will enable them to develop and manage robust and scalable machine learning solutions within the Azure cloud environment.
