Designing and Implementing a Data Science Solution on Azure (DP-100T01)
Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions.
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Duration: 4 days
Regular price: $2,396
Preferential price: $2,036
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Course outline
Reference : @Microsoft DP-100T01-A
Duration : 4 days
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 in Microsoft Azure.
Audience
This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.
Prerequisites
Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.
Specifically:
Creating cloud resources in Microsoft Azure.
Using Python to explore and visualize data.
Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
Working with containersTo gain these prerequisite skills, take the following free online training before attending the course:
Design a data ingestion strategy for machine learning projects
Design a machine learning model training solution
Design a model deployment solution
Explore Azure Machine Learning workspace resources and assets
Explore developer tools for workspace interaction
Make data available in Azure Machine Learning
Work with compute targets in Azure Machine Learning
Work with compute targets in Azure Machine Learning
Work with compute targets in Azure Machine Learning
Work with compute targets in Azure Machine Learning
Work with compute targets in Azure Machine Learning
Run pipelines in Azure Machine Learning
Perform hyperparameter tuning with Azure Machine Learning
Deploy a model to a managed online endpoint
Deploy a model to a batch endpoint
Surround yourself with the best
Charles Bourgon
Trainer
Frédéric Paradis
Certified Trainer and Cloud Architect
As a certified Microsoft trainer, Frédéric describes himself as a Cloud magician who easily navigates the mythical space between technology and reality.
Marc Maisonneuve
Training program director
Marc Maisonneuve has acted as a Training Program Director, professional effectiveness trainer and user tools practice leader at AFI for several years. Mr. Maisonneuve is known for his analytical skills, his legendary calm and his undeniable desire to encourage people to develop their skills. He has the ability to present technological solutions in a natural way and to adapt them to the concrete needs of the workplace.
Vicky Moreau
Trainer
Vicky Moreau is a passionate freelancer and professional in the area of office automation. She holds a college diploma in office automation, most of her solid experience with the Office Suite was acquired while being an autodidact. In fact, she has successfully completed an MOS (Microsoft Office Specialist) Excel certification.
