Need some help ? Call us:+32 2 503 40 40
Back

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

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best.

Module 1: Doing Data Science on Azure
Module 2: Doing Data Science with Azure Machine Learning service
Module 3: Automate Machine Learning with Azure Machine Learning service
Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service

This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

You might also be interested in:

N°10979 - Introduction to Microsoft Azure for IT Professionals

This course provides the underlying knowledge required by all individuals who will be evaluating Microsoft Azure, regardless of whether they are an administrator, developer, or database administrator. This course also provides the pre-requisite knowledge for students wishing to attend course 20532C Developing Microsoft Azure Solutions, or course 20533C Implementing Microsoft Azure Infrastructure Solutions.
During this course, students will be introduced to the principles of cloud computing and will become familiar how these principles have been implemented in Microsoft Azure. In addition, this course will take students through the process of implementing the core Azure infrastructure, consisting of virtual networks and storage. With this foundation, students will learn how to create the most common Azure services, including Azure virtual machines (VMs), Web Apps, and SQL Databases. The course will conclude by describing features of Azure Active Directory (Azure AD) and methods of integrating it with on-premises Active Directory.

N° 20537 : Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack

This five-day course will provide students with the key knowledge required to deploy and configure Microsoft Azure Stack.

New

AZ-201 - Develop Advanced Microsoft Azure Cloud Solutions

This course teaches Developers how to build a solution that meets performance expectations in Azure. It also teaches them how to integrate and manage APIs with the API Management service, configure a message-based integration architecture, and develop an application message model to integrate Azure Cognitive Services in your solution. Additionally developers will learn how to create and manage bots using the Bot Framework and Azure portal and leverage Azure Time Series Insights, Stream Analytics and the IoT Hub. This course prepares for the Microsoft exam AZ-201.