Course HighlightsCOURSE
DP-100: Designing and Implementing a Data Science solution on Azure

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

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. Leverage your existing knowledge of Python for machine learning in Microsoft Azure.

Benefit from instructor-led preparation for the DP-100 certification exam with tips, tricks, guidance, and mentored support.

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

Course Enrollment

Starts on

12 September 2022

Enrollment closes on
21 August 2022

  Course duration

Duration

  • 3 days, online
    8 hours/day
  Course Fee

Fee

US$ 1,665

Course Enrollment

Starts on

12 September 2022

Enrollment closes on
21 August 2022

Course duration

Duration

  • 3 days, online
    8 hours/day
Course Fee

Fee

US$ 1,665

DP-100 is a three-day course for data scientists who want to build and operate machine learning solutions in the cloud using Azure Machine Learning.

This DP-100 training introduces you to Azure Machine Learning, Automated Machine Learning, and Designer Visual Tools for trainiing, evaluating, and deploying machine learning models without writing any code. You will discover how to run code-based experiments. Plus, you will explore how to create and manage datastores, datasets, environments and computer targets. For effective Machine Learning Operationalization (ML Ops) solutions you will understand how to create, publish, and run pipelines to automate machine learning workflows. You will be guided on how to deploy, consume, monitor, and optimize the models. Plus, you will explore the techniques for applying responsible machine learning to maintain privacy and transparency.

This course will prepare you for taking the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam. Entry for the exam is not included. However, you will get a clear overview of the Microsoft certification process, plus you will get tips and tricks, testing strategies, practice questions, and useful information to help you pass the exam successfully.

This course comprises ten purposely designed modules that take you on a carefully defined learning journey.

It is an instructor-led course which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs and online exams questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.

Once you have successfully completed the course, you will earn your Certificate of Completion.

You will be able to:

  • Manage Azure resources for machine learning.
  • Run experiments and train models.
  • Deploy and operationalize machine learning solutions.
  • Implement responsible machine learning.
  • Data scientists.
  • Machine learning professionals.
  • Professionals who have knowledge about data solutions for Microsoft Azure.
  • Individuals who want to understand implementing an Azure Data Solution.
  • Professionals who want to pass the DP-100: Designing and Implementing a Data Solution on Azure certification exam.

You must be able to:

  • Create cloud resources in Microsoft Azure.
  • Use Python to explore and visualize data.
  • Train and validate machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
  • Work with containers.

This course will help you to prepare for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam.

It is ideal 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.

  • It will help you apply your knowledge of data science and machine learning to implementing and running machine learning workloads on Microsoft Azure; in particular, using Azure Machine Learning Service.
  • It will also help you to plan and create a suitable working environment for data science workloads on Azure, run data experiments and train predictive models, manage and optimize models, and deploy machine learning models into production.

When you take this course, you will also get information and guidance on the Microsoft certification process, knowledge checks and practice questions, and useful tips on how to pass the exam.

Course Outline

Enrollment is Closed
Introduction
Grading Scheme
Pre-Requisite
Exam and Certification Details
About this module
Introduction to Azure Machine Learning
Working with Azure Machine Learning
Knowledge Check
About this module
Automated Machine Learning
Azure Machine Learning Designer
Knowledge Check
About this module
Introduction to Experiments
Training and Registering Models
Knowledge Check
About this module
Working with Datastores
Working with Datasets
Knowledge Check
About this module
Working with Environments
Working with Compute Targets
Knowledge Check
About this module
Introduction to Pipelines
Publishing and Running Pipelines
Knowledge Check
About this module
Real-time Inferencing
Batch Inferencing
Continuous Integration and Delivery
Knowledge Check
About this module
Hyperparameter Tuning
Automated Machine Learning
Knowledge Check
About this module
Differential Privacy
Model Interpretability
Fairness
Knowledge Check
About this module
Monitoring Models with Application Insights
Monitoring Data Drift
Knowledge Check
Download your certificate
Course Certificate

Earn your certificate

Once you have completed this course, you will earn your certificate.

Preview digital certificate
DP-100: Designing and Implementing a Data Science solution on Azure
Enrollment is Closed

FAQs

You first need to complete the recommended training for DP-100 with a Microsoft authorized training partner. SKillUp Online is a Microsoft authorized training partner.

Once you have completed your training, visit Microsoft's official website. Then, register for the Designing and Implementing a Data Science Solution on Azure exam, and schedule it with Pearson VUE. Take the exam, pass it, and get certified!

It is recommended that learners have fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.

It is mandatory to complete the Microsoft Azure AI Fundamentals course before taking the DP-100 course.

DP-100 certification leverages your existing knowledge of Python and machine learning. Upon completion of this course, you will be able to showcase your talent in operating with a multidisciplinary team to train, analyze, and readying of AI models to resolve business issues.

Also, the DP-100 certification will help you develop skills in numerous ways and best practices associated with Azure data science and machine learning services.

This DP-100 online training will explain the concepts required to prepare you for the DP-100: Designing and Implementing a Data Science Solution on Azure exam.

DP-100 certification is ideal for data science professionals who have prior knowledge of Python as well as machine learning frameworks. This course will prepare you for the role of data scientist. Moreover, DP-100 exam will also prepare you for taking Associate level courses in the future.

If you sign up with SkillUp Online, our Microsoft Certified Trainers (MCTs) will walk you through all the modules as per the Microsoft Official Curriculum (MOC) once the course starts. You do not need to prepare anything in advance.