Designing and Implementing a Data Science Solution on Azure (DP-100) - (UK)

Results

• Define and prepare the Azure development environment
• Prepare data to develop models
• Perform feature engineering
• Develop, train and evaluate models

Audience

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.

Practical Approach

This training is set up in a way to ensure you can put everything you learn directly into practice. The highly experienced and certified trainer from Computrain will cover the theory and show you practical demonstrations. The hands-on lab exercises help you in optimally processing the subject matter. The ratio between theory and practice is approximately 50-50.

Prerequisites

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.

Courseware

This training uses the official, digital, Microsoft Official Courseware (MOC) in English. You also get access to our modern online learning environment, e-Connect. This environment contains all information needed for the training as well as some additional information. With e-connect, you can easily communicate with the other participants.

Klassikaal

Je volgt de bijeenkomsten uit dit programma klassikaal op een locatie naar keuze. Omdat je binnen een groep veel van elkaar leert, bieden we je een alternatieve locatie aan wanneer er voor jouw voorkeurslocatie onvoldoende aanmeldingen zijn. Onze leslocaties zijn gevestigd door heel Nederland. Voor meer informatie over onze opleidingsvarianten, zie de pagina !!GEEN VERWIJZING!! op onze website.