Training: Designing and Implementing a Data Science Solution on Azure

Ref. DP-100T01

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Duration:

3

days

Exam:

Optional

Level:

Intermediate

Funding:

Temptraining

ITTA | Trainings | IT Pro | Analytics & Data Management | Designing and Implementing a Data Science Solution on Azure

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.