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

SKU: DP-100
What do you get
This package includes:
Hands-on Labs
Practice Tests
DP-100: Designing and Implementing a Data Science Solution on Azure
Hands-on Labs

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

The DP-100 Hands-on Lab provides practical exercises to enhance skills in Azure Machine Learning and data science workflows. Participants engage in tasks such as data preparation, model training and evaluation, and deployment, gaining hands-on experience in building end-to-end machine learning solutions on the Azure platform.
Lab Description

Introducing DP-100 Hands-on Lab, an immersive and practical learning experience offered by CloudLabs. This lab is specifically designed to equip participants with the knowledge and skills required to design and implement data science solutions using Microsoft Azure. The lab focuses on key data science concepts such as experimentation, hyperparameter tuning, and model explainability. Participants will gain practical skills in designing and running experiments, optimizing model performance through hyperparameter tuning, and interpreting model results using Azure Machine Learning.

During the lab, participants will have the opportunity to explore various aspects of data science, including data exploration, model training, and deployment. They will gain hands-on experience in tasks such as preparing data for analysis, building machine learning models using Azure Machine Learning, and deploying models as web services.


The DP-100 Hands-on Lab requires intermediate-level knowledge of data science, statistics, and programming concepts. Additionally, learners should have experience in using Azure tools and services such as Azure Storage, Azure Machine Learning, and Azure Cognitive Services.

Learning objective

By completing the DP-100 Hands-on Lab, learners will gain the skills required to design and implement a data science solution in the Azure environment. The Hands-on Lab includes hands-on lab modules and real-world scenarios that allow learners to gain practical experience and prepare for the Microsoft Azure Data Scientist Associate certification exam

Lab Exercises
Monitor Data Drift
Monitor a Model
Detect and Mitigate Unfairness
Explore Differential Privacy Interpret Models
Use Automated Machine Learning from the SDK
Create a Batch Inferencing Service Tune Hyperparameters
Create a Real-time Inference Service
Create a Pipeline
Work with Data
Compute Contexts
Run Experiments
Use Azure Machine Learning Designer
Use Automated Machine Learning
Machine Learning Workspace
Create and Explore an Azure
Work with Compute
Why Choose Us?
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Instructor Control
Monitor progress and provide real-time guidance with shadow labs feature for a look-over-the-shoulder experience
No Cloud Trials
No need of Cloud Subscriptions, we take care of that for you.
No need to worry about cloud spends, everything is included.
Validated Lab Environments
CloudLabs lab environments and lab guides are tested and optimized to ensure that learners have a smooth experience while performing the labs.
24x7 Support
Our support team is available 24/7 to provide timely and effective solutions to all queries

A hands-on lab is a virtual environment where you can actively engage in practical exercises and simulations related to a specific subject or technology. It allows you to gain real-world experience and develop practical skills.

Upon enrolment, student will receive voucher code  and access instructions to launch the lab environment.

No, generally, MOC Hands-On Labs are designed to be completed in one continuous session. Once you start a lab, it's recommended to allocate enough time to finish it in one go.

Only a system with internet access and a compatible web browser.

Yes, CloudLabs Hands-on labs often come with built-in tracking and reporting features. These features allow you to monitor trainee progress, track completion rates, and generate reports on lab performance. This enables you to assess individual or group achievements and measure the effectiveness of your training initiatives.

CloudLabs have the SLA of 15 days to update the Labs.

Learners are typically allowed to access the lab once.

We have CloudLabs Shadow which is an embedded feature integrated into the CloudLabs platform that lets Instructors shadow the learners environment.

Cloud Labs support team is available 24/7 for 365 days over email and live chat.

  1. Email Support: labs-support@spektrasystems.com 
  2. Live Chat Support: https://cloudlabs.ai/labs-support  
DP-100 includes
DP-100: Designing and Implementing a Data Science Solution on Azure
30 Days
16 Exercises
Intended Audience

Data Scientist

Machine Learning Engineer

Data Analyst

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