Enspire Training CourseDesigning and Implementing a Data Science Solution on Azure (DP-100)

Learn to Design and Implement a Data Science Solution on Azure. In this 4-day instructor-led course participants learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best. Note: before attending this course, students must have:

• Azure Fundamentals
• Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one
• How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib and seaborn

Target Audience
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

Related Links: Microsoft Certified: Azure Data Scientist Associate

• Course Number DP-100
• Course Length 4 days
• Course Fee $2,395.00

• Delivery Format vILT (Instructor Led; Virtual LIVE Online; Remote Training)
• Course Topic Business Intelligence
• Vendor Microsoft
• Technology Azure

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