Designing and Implementing a Data Science Solution on Azure

DP-100 | 4 days | €985Всички цени са без ДДС.

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning.

Overview

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.

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.

What you’ll learn

Module 1: Design a machine learning solution:

  • Design a data ingestion strategy for machine learning projects
  • Design a machine learning model training solution
  • Design a model deployment solution
  • Design a machine learning operations solution

Module 2: Explore and configure the Azure Machine Learning workspace:

  • 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 environments in Azure Machine Learning

Module 3: Experiment with Azure Machine Learning:

  • Find the best classification model with Automated Machine Learning
  • Track model training in Jupyter notebooks with MLflow

Module 4: Optimize model training with Azure Machine Learning:

  • Run a training script as a command job in Azure Machine Learning
  • Track model training with MLflow in jobs
  • Perform hyperparameter tuning with Azure Machine Learning
  • Run pipelines in Azure Machine Learning

Module 5: Manage and review models in Azure Machine Learning:

  • Register an MLflow model in Azure Machine Learning
  • Create and explore the Responsible AI dashboard for a model in Azure Machine Learning

Accreditation

ITCE is a Certified Microsoft Learning Partner.


Calendar

Frequently Asked Questions

Who should attend?

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.

Are there any prerequisites for this course?

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 containers

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