Algemene informatie over de cursus
During the course Designing and Implementing a Data Science Solution on Azure (DP-100) you 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.This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
The course helps to prepare for exam DP-100.
Lunches and course materials are included. Exam fees are not included.
Deze training wordt in het Nederlands verzorgd.
Doelgroep
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.
Voorkennis
Before attending this course, students must have: a fundamental knowledge of Microsoft Azure; experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib; understanding of data science, including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.
Duur
The course lasts three days.
Groepsgrootte
The size of the group is a maximum of twelve candidates.
Certificaat
After the course you can participate in the exam. The course helps to prepare for exam DP-100. The exam fees are not included.