Designing and Implementing a Data Science Solution on Azure | DP-100 | DP100

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

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.

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. 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.
If you are completely new to data science and machine learning, please complete AI-900 | Microsoft Azure AI Fundamentals first.

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.

Course outcome

– Provision an Azure Machine Learning workspace
– Use tools and code to work with Azure Machine Learning
– Use automated machine learning to train a machine learning model
– Use Azure Machine Learning designer to train a model
– Run code-based experiments in an Azure Machine Learning workspace
– Create and use datastores and datasets
– Create and use environments and compute targets

Package Includes

– 12 Months Online Access featuring ondemand instructor-led classroom sessions with full audio and video lectures
– Measure Exam simulation
– Tips & Tricks

Hybrid Learning is a unique mix of training material, videos and exercises that the user can independently apply to his learning demand. You have access to the online training material for up to 12 months. This way you can read and practice the material you have learned several times to optimally prepare for the DP-100 exam.

Course content

– Machine Learning
– Machine Learning Classification Models
– Machine Learning Clustering Models
– Project Jupyter & Notebooks
– Azure Machine Learning Workspaces
– Azure Data Platform Services
– Azure Storage Accounts
– Storage Strategy
– Azure Data Factory
– Non-relational Data Stores

Exam not included

DP-100 Designing and Implementing a Data Science Solution On Azure

DutchTrain is an officially accredited Test Center for Pearson Vue Test, Prometric, Kryterion, Castle Worldwide, Certiport & PSI. You are most welcome with us for exams that are available through these Test Centers. Exams can be taken every day, within office hours.

Date

You can start at any time! Please contact one of our training advisers if you would like to start.

Location

Self-study - It is possible to login 24/7 from any location to our Education On Demand Portal.

Learning method

E-Learning

Language

English

More information

Check our website for detailed lesson content, exams and more details of this training.

This training is also available as

- Instructor-led classroom training
- Incompany, please contact one of our training advisers.