DP-100T01 : Designing and Implementing a Data Science Solution on Azure

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DP-100T01 : Designing and Implementing a Data Science Solution on Azure

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.

 

The duration of the program :

Classroom
Instructor Led : 24 h

Live Online
Instructor Led  : 24 h

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.

  • MODULE Design a data ingestion strategy for machine learning projects
  • MODULE Design a machine learning model training solution
  • MODULE Design a model deployment solution
  • MODULE Explore Azure Machine Learning workspace resources and assets
  • MODULE Explore developer tools for workspace interaction
  • MODULE Make data available in Azure Machine Learning
  • MODULE Work with compute targets in Azure Machine Learning
  • MODULE Work with environments in Azure Machine Learning
  • MODULE Find the best classification model with Automated Machine Learning
  • MODULE Track model training in Jupyter notebooks with MLflow
  • MODULE Run a training script as a command job in Azure Machine Learning
  • MODULE Track model training with MLflow in jobs
  • MODULE Run pipelines in Azure Machine Learning
  • MODULE Perform hyperparameter tuning with Azure Machine Learning
  • MODULE Deploy a model to a managed online endpoint
  • MODULE Deploy a model to a batch endpoint

Microsoft Certified: Azure Data Scientist Associate

Azure Data Scientists apply Azure’s machine learning techniques to train, evaluate, and deploy models that solve business problems

Required Exam : DP-100

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. / Working with containers

·          Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.

To gain these prerequisite skills, take the following free online training before attending the course:

·          Explore Microsoft cloud concepts.

·          Create machine learning models.

·          Administer containers in Azure

 

If you are completely new to data science and machine learning, please complete first :

AI-900 Microsoft Azure AI Fundamentals

Location Dates  Time (UTC+2 )
Delivery Format Language
Live Online* 6,11,13,18,20-Jun Tue, Thu 17:30-21:45
(20/6 17Q30-20:45)
Instructor Led Greek

* Σύγχρονη εξ αποστάσεως εκπαίδευση με εισηγητή – Virtual Class




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    Last update : 27/12/2023  (DP-100T01-A)