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

Description

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.

Course Duration: 3 Day(s)

Highlights

Module 1: Getting Started with Azure Machine Learning

Module 2: Visual Tools for Machine Learning

Module 3: Running Experiments and Training Models

Module 4: Working with Data

Module 5: Working with Compute

Module 6: Orchestrating Operations with Pipelines

Module 7: Deploying and Consuming Models

Module 8: Training Optimal Models

Module 9: Responsible Machine Learning

Module 10: Monitoring Models

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Who Should Attend

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

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 Microsoft Azure AI Fundamentals first.

Target Audience

Data Scientist / Data Engineer & Data Analyst

Personas

Data Engineer & Data Analyst