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Designing and Implementing a Data Science Solution on Azure
Designing and Implementing a Data Science Solution on Azure 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.
Provider Information
CDW
625 W. Adams St.
Chicago, IL 60661
Course Overview
- A fundamental knowledge of Microsoft Azure
- Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
- Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.
8890 McGaw Road
Suite 200
Columbia, MD 21045
625 W Adams Street
Chicago, IL 60661
5908 Headquarters Drive
Suite 400
Plano, TX 75024
201 N Franklin St
Floor 37
Tampa, FL 33602
40 E. Rio Salado Parkway
Suite 200
Tempe, AZ 85281
Learning Objectives
- Design a machine learning solution
- Explore the Azure Machine Learning workspace
- Work with data in Azure Machine Learning
- Work with compute in Azure Machine Learning
- Automate machine learning model selection with Azure Machine Learning
- Use notebooks for experimentation in Azure Machine Learning
- Train models with scripts in Azure Machine Learning
- Optimize model training with pipelines in Azure Machine Learning
- Manage and review models in Azure Machine Learning
- Deploy and consume models with Azure Machine Learning
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.