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

DP-100T01: Designing and Implementing a Data Science Solution on Azure Certification Training Course Overview

Designing and Implementing a Data Science Solution on Azure (DP-100) Certification training is a popular Microsoft certification training. This DP-100 training course is ideal for professionals who are data scientists with proper understanding of programming languages such as python and machine learning frameworks such as Tensorflow, pytorch, and more. Checkout dates below to find the suitable schedule for you to enrol and get certified as an Azure Data Scientist Associate.

DP-100 Certification Training

Microsoft Azure has quickly gained a good market share in the last decade to become one of the most technological evolution for business landscape globally. Nearly 80% of Fortune 500 companies use Microsoft Azure for their holistic cloud capabilities to deliver services and solutions for consumers worldwide.

Creating Data solutions on Azure is a critical skillset for professionals who work as Data Scientists these days. With services and solutions moving to cloud, it is imperative for one to have an in-depth understanding of Microsoft Azure and how to design and implement data solutions for the same. Participants attending this Designing and Implementing a Data Solution on Azure DP-100 training will receive a copy of the course material and industry-recognized course completion certificate from a Microsoft Gold Partner.

This course prepares you for Exam DP-100. Test your current knowledge Qubits42

DP-100: Designing and Implementing a Data Science Solution on Azure Training (Duration : 24 Hours) Download Course Contents

Live Virtual Classroom
Group Training 1300
20 - 22 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)

04 - 06 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)

01 - 03 Nov 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR) 1500
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
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Course Modules

Module 1: Introduction to Azure Machine Learning
  • Getting Started with Azure Machine Learning
  • Azure Machine Learning Tools
  • Lab : Creating an Azure Machine Learning Workspace
  • Lab : Working with Azure Machine Learning Tools
Module 2: No-Code Machine Learning with Designer
  • Training Models with Designer
  • Publishing Models with Designer
  • Lab : Creating a Training Pipeline with the Azure ML Designer
  • Lab : Deploying a Service with the Azure ML Designer
Module 3: Running Experiments and Training Models
  • Introduction to Experiments
  • Training and Registering Models
  • Lab : Running Experiments
  • Lab : Training and Registering Models
Module 4: Working with Data
  • Working with Datastores
  • Working with Datasets
  • Lab : Working with Datastores
  • Lab : Working with Datasets
  • Create and consume datastores
  • Create and consume datasets
Module 5: Compute Contexts
  • Working with Environments
  • Working with Compute Targets
  • Lab : Working with Environments
  • Lab : Working with Compute Targets
Module 6: Orchestrating Operations with Pipelines
  • Introduction to Pipelines
  • Publishing and Running Pipelines
  • Lab : Creating a Pipeline
  • Lab : Publishing a Pipeline
Module 7: Deploying and Consuming Models
  • Real-time Inferencing
  • Batch Inferencing
  • Lab : Creating a Real-time Inferencing Service
  • Lab : Creating a Batch Inferencing Service
  • After completing this module, you will be able to
  • Publish a model as a real-time inference service
  • Publish a model as a batch inference service
Module 8: Training Optimal Models
  • Hyperparameter Tuning
  • Automated Machine Learning
  • Lab : Tuning Hyperparameters
  • Lab : Using Automated Machine Learning
Module 9: Interpreting Models
  • Introduction to Model Interpretation
  • using Model Explainers
  • Lab : Reviewing Automated Machine Learning Explanations
  • Lab : Interpreting Models
Module 10: Monitoring Models
  • Monitoring Models with Application Insights
  • Monitoring Data Drift
  • Lab : Monitoring a Model with Application Insights
  • Lab : Monitoring Data Drift
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Course Prerequisites
  • Candidates who wish to take up the Designing and Implementing a Data Solution on Azure DP-100 certification exam should have a fundamental knowledge of Microsoft Azure.
  • A participant should also be able to write in programming languages such as Python to work with data using various libraries.
  • Basic understanding of data science that include preparing data and train machine learning models using machine learning libraries.

Reasons to choose Koenig's Designing and Implementing a Data Solution on Azure DP-100 training

  • Widely-recognized DP-100 certification training delivered with Expert Microsoft Instructors
  • Achieve an in-depth understanding of designing and implementing data solutions on Azure platform
  • Move ahead in your career as a Microsoft Certified: Azure Data Scientist Associate
  • Expert Microsoft Azure instructors and practical lab sessions to help you to clear your DP-100 examination
  • Engage with other professionals from various industry sectors to gain a proper knowledge of Microsoft Azure and its uses in today’s business landscape

Key Features of DP-100 Certification Training

  • Instructor-led Designing and Implementing a Data Solution on Azure Certification Training
  • Get access to a free 1-hour preview to learn Microsoft Azure concepts
  • Expert Microsoft Azure instructors across the globe
  • Accredited Microsoft Azure DP-100 course material prepared by SMEs
  • Get practical experience through Microsoft lab sessions
  • Microsoft Azure DP-100 Sample papers provided
  • Industry-recognized Course Completion certificate provided
  • Take advantage of 1-to-1 training and Fly me a Trainer option
  • Training provided across 100+ locations globally

Target Audience

Job roles that can take up Designing and Implementing a Data Solution on Azure DP-100 training include, but are not limited to:

  • Data Scientists
  • Machine Learning professionals
  • Professionals who create data solutions for Microsoft Azure
  • Anybody who wants to understand Implementing an Azure Data Solution
  • Professionals who want to clear Designing and Im
  • plementing a Data Solution on Azure DP-100 examination

Learning Objectives

Participants who take part in Designing and Implementing a Data Solution on Azure DP-100 training will learn about:

  • Using Azure services to develop machine learning solutions
  • Performing data science activities on Azure
  • Understanding of automate machine learning with Azure machine learning
  • Managing and Monitoring machine learning models with Azure machine learning

DP-100 Designing and Implementing a Data Solution on Azure Exam Format

Exam Name Microsoft DP-100
Certification Name Microsoft Certified: Azure Data Scientist Associate
Exam Type Multiple-choice
Exam Cost USD 165.00*
Total Questions 40 – 60 Questions
Exam Duration 180 Minutes
Languages English, Japanese, Chinese (Simplified), Korean, Spanish, German, and French

 

 

 

 

 

 

 

 

Designing and Implementing a Data Solution on Azure DP-100 Course Outline

Participants who take up Designing and Implementing a Data Solution on Azure DP-100 Certification Course will learn about:

1. Set up an Azure Machine Learning Workspace

  • Creating an Azure Machine Learning workspace
  • Managing data objects in an Azure Machine Learning workspace
  • Managing experiment compute contexts

2. Run Experiments and Train Models

  • Creating models by using Azure Machine Learning Designer
  • Running training scripts in an Azure Machine Learning workspace
  • Ability to generate metrics from an experiment run
  • Automating the model training process

3. Optimize and Manage Models

  • Using Automated Machine Learning to create optimal models
  • Using Hyperdrive to tune hyper parameters
  • Using model explainers to interpret models
  • Managing models

4. Deploy and Consume Models

  • Creating production compute targets
  • Deploying model as a service
  • Creating a pipeline for batch inferencing
  • Publishing a designer pipeline as a web service

Skills Measured in Designing and Implementing a Data Solution on Azure DP-100 Certification Exam

  • Set up an Azure Machine Learning workspace (30-35%)
  • Run experiments and train models (25-30%)
  • Optimize and manage models (20-25%)
  • Deploy and consume models (20-25%)

Source: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-100

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?

Student Name Country Month Feedback Rating
Moza Rashid Al Ashkhari Oman Jan-2021 A1. I would like to thank him for give me enough explanations about Azure. It was a great opportunity full of knowledge. I hope all the best in his life. I appreciate his efforts.

FAQ's


Yes, fee excludes local taxes.
You can enroll for this Designing and Implementing a Data Solution on Azure DP-100 by:
  • Selecting a convenient schedule from the dates given
  • Enroll for Designing and Implementing a Data Solution on Azure DP-100 course by making the payment
  • Get pre-reading materials from Koenig Solutions and start your preparation
 
Participants who enroll for Designing and Implementing a Data Solution on Azure DP-100 certification training will get:
  • A copy of the course material
  • Microsoft Azure DP-100 Sample Papers
  • Access to Microsoft Azure Labs
  • A course completion certificate from a Microsoft Gold Partner
 
There are no reference materials for Designing and Implementing a Data Solution on Azure DP-100 course, but you can visit the official Designing and Implementing a Data Solution on Azure DP-100 page to understand: 
  • What is this the Designing and Implementing a Data Solution on Azure DP-100 course is all about
  • When was the Designing and Implementing a Data Solution on Azure DP-100 course was last updated
  • Skills Measured for Microsoft Azure DP-100 certification exam
  • Self-paced Microsoft Learn video modules
  • DP-100 certification exam resources, and more
 
This Designing and Implementing a Data Solution on Azure DP-100 course is ideal for data scientists, machine learning professionals, professionals who create data solutions on Microsoft Azure, and for individuals who are looking to clear their DP-100 certification exam.
Yes, Koenig Solutions is a Microsoft Gold Partner to deliver Designing and Implementing a Data Solution on Azure DP-100 Certification Course worldwide.
You can take up this Designing and Implementing a Data Solution on Azure DP-100 certification training course in multiple delivery modes that include:
  • Instructor-led classroom training
  • Instructor-led Live online training
  • 1-on-1 training
  • Fly-me-a-Trainer
  • Corporate/on-site training
 
The cost of Designing and Implementing a Data Solution on Azure DP-100 certification exam is USD 165. And this cost depends on the country in which the exam is proctored in.
No, the course fee does not include the Designing and Implementing a Data Solution on Azure DP-100 examination fee. By taking up the DP-100 training, you are only paying for the training and not for the exam. The certification exam cost for Microsoft Azure DP-100 is USD 165 and has to be taken from Pearson Vue.
Upon clearing your Microsoft DP-100 examination, your Microsoft Certified: Azure Data Scientist Associate certification will be valid for two years. After the validity period of two years, your certification will not be current anymore, but it will still be showcased under a different section with the Exam code and year mentioned along with it.
For more information on Designing and Implementing a Data Solution on Azure DP-100 course, you can mail us at info@koenig-solutions.com, call us at +91 80950 73333 (24x7) and chat with us to get your queries resolved immediately.