Training: Designing and Implementing a Data Science Solution on Azure

Ref. DP-100T01
Duration:
3
 days
Exam:
Optional
Level:
Intermediate

Description

In this course you will learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This training 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.

Participant profiles

  • 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

Objectives

  • Able to use Azure services and develop, train, and deploy, machine learning solutions

Prerequisites

  • 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

Course content

Module 1: Getting Started with Azure Machine Learning

  • Introduction to Azure Machine Learning
  • Working with Azure Machine Learning

Module 2: No-Code Machine Learning

  • Automated Machine Learning
  • Azure Machine Learning Designer

Module 3: Running Experiments and Training Models

  • Introduction to Experiments
  • Training and Registering Models

Module 4: Working with Data

  • Working with Datastores
  • Working with Datasets

Module 5: Working with Compute

  • Working with Environments
  • Working with Compute Targets

Module 6: Orchestrating Operations with Pipelines

  • Introduction to Pipelines
  • Publishing and Running Pipelines

Module 7: Deploying and Consuming Models

  • Real-time Inferencing
  • Batch Inferencing
  • Continuous Integration and Delivery

Module 8: Training Optimal Models

  • Hyperparameter Tuning
  • Automated Machine Learning

Module 9: Responsible Machine Learning

  • Differential Privacy
  • Model Interpretability
  • Fairness

Module 10: Monitoring Models

  • Monitoring Models with Application Insights
  • Monitoring Data Drift

Documentation

  • Access to Microsoft Learn (online learning content)

Lab / Exercises

  • Official Microsoft Labs

Exam

  • This course prepares you to the DP-100: Designing and Implementing a Data Science Solution on Azure exam. If you wish to take this exam, please contact our secretariat who will let you know the cost of the exam and will take care of all the necessary administrative procedures for you

Complementary courses

Temptraining funding

ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.
Prix de l'inscription
CHF 2'350.-
Inclus dans ce cours
  • 180 days lab access included
  • Up-to-date course materials with Microsoft Learn
  • Microsoft digital badge

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Horaires d’ouverture

Du lundi au vendredi, de 8:30 à 18:00.

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