Learn to design, build, and deploy machine learning solutions on Azure using Python, Azure ML, and MLOps practices to become a certified Azure Data Scientist.
Learn to design, build, and deploy machine learning solutions on Azure using Python, Azure ML, and MLOps practices to become a certified Azure Data Scientist.
Level
Advanced
Duration
8 weeks
















The DP-100: Azure Data Scientist Associate course is designed to equip learners with the skills required to build, train, evaluate, and deploy machine learning models on Microsoft Azure. This program focuses on practical data science workflows using Azure Machine Learning, Python, and popular frameworks such as Scikit-learn, TensorFlow, and PyTorch. Learners will gain hands-on experience with data preparation, feature engineering, model selection, hyperparameter tuning, and experiment tracking in Azure ML workspaces. The course also covers responsible AI, model interpretability, and end-to-end MLOps practices including pipelines, versioning, and deployment to real-time and batch endpoints. By working on real-world projects and scenarios, learners will understand how to operationalize machine learning solutions securely and at scale. Delivered through Jast Tech, this course is ideal for data professionals, analysts, and engineers aiming to transition into cloud-based data science roles or validate their expertise with the DP-100 certification.
The DP-100: Azure Data Scientist Associate course is designed to equip learners with the skills required to build, train, evaluate, and deploy machine learning models on Microsoft Azure. This program focuses on practical data science workflows using Azure Machine Learning, Python, and popular frameworks such as Scikit-learn, TensorFlow, and PyTorch. Learners will gain hands-on experience with data preparation, feature engineering, model selection, hyperparameter tuning, and experiment tracking in Azure ML workspaces. The course also covers responsible AI, model interpretability, and end-to-end MLOps practices including pipelines, versioning, and deployment to real-time and batch endpoints. By working on real-world projects and scenarios, learners will understand how to operationalize machine learning solutions securely and at scale. Delivered through Jast Tech, this course is ideal for data professionals, analysts, and engineers aiming to transition into cloud-based data science roles or validate their expertise with the DP-100 certification.
Job Roles You Can Achieve
After completing this course
Introduction to Azure Data Science
This module introduces the Azure data science workflow and core services used throughout the course.
Azure Machine Learning Workspace
Covers environment setup and foundational resources required for model development.
Data Ingestion and Preparation
Focuses on preparing high-quality data for machine learning experiments.
Feature Engineering
Explains techniques to improve model performance through effective feature design.
Model Training with Azure ML
Provides hands-on experience building and training ML models at scale.
Seven intentional milestones — from first session to dream job.
Select a schedule that works best for you
Starts
04 Jul 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
06 Jul 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
11 Jul 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
13 Jul 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Our team will craft the perfect batch for you.
Real Feedback from our clients
Round-the-clock assistance
Professional profile building
Expert resume crafting
Mentorship from graduates
Mock interviews & tips
Real-world experience



See how we stand out from the competition
Well-structured, up-to-date curriculum designed by industry experts to build strong fundamentals and advanced knowledge.
Outdated or incomplete curriculum that may not cover current industry needs.
Extensive practical sessions, live demos, and hands-on exercises to ensure real learning.
Limited practical exposure with theory-heavy teaching approach.
Learn from certified professionals with years of industry experience and teaching expertise.
Instructors with limited industry experience or practical knowledge.
Work on real-world projects that enhance problem-solving skills and build a strong portfolio.
Lack of real-world projects or unrealistic practice examples.
Regular assignments, quizzes, and assessments to track progress and strengthen concepts.
Irregular assessments or no proper evaluation of learning.
Resume building, interview preparation, and placement assistance to boost your career.
Limited or no career support and placement assistance.
24/7 doubt resolution and personalized guidance from instructors whenever you need it.
Slow doubt resolution or limited support availability.
Industry-recognized certificate that validates your skills and enhances your career opportunities.
Certificates with little industry value or recognition.
Lifetime access to course content, recordings, and resources even after completing the course.
Limited access duration with extra charges for resources.
High-quality training at affordable prices with no hidden costs and flexible payment options.
High course fees with hidden charges and no flexibility.
DP-100: Azure Data Scientist Associate – Associate
130 minutes
Multiple Choice & Multi-Response
720 (Scale: 100–1000)
Associate

Prepare
Curated questions with expert answers to help you ace your next interview.
Q1. What is Azure Machine Learning?
Azure Machine Learning is a cloud service that enables building, training, deploying, and managing machine learning models at scale.
Q2. How does Azure ML support MLOps?
Azure ML supports MLOps through pipelines, model versioning, experiment tracking, and CI/CD integration.
Q3. What is the difference between compute instance and compute cluster?
A compute instance is for development and testing, while a compute cluster is used for scalable training jobs.
Q4. What are endpoints in Azure ML?
Endpoints are deployment targets that allow models to be consumed via real-time or batch inference.
Q5. How does Automated ML help data scientists?
Automated ML automates model selection, feature engineering, and hyperparameter tuning to quickly identify the best-performing model.
Support
Can't find what you're looking for? Reach out to our support team anytime.
Q1. Who should take the DP-100 course?
This course is ideal for data analysts, data scientists, and ML engineers who want to build and deploy ML models on Azure.
Q2. Do I need prior Azure experience?
Basic knowledge of Azure and Python is recommended, but essential concepts are covered from the ground up.
Q3. Is coding required for DP-100?
Yes, Python is heavily used for data preparation, model training, and deployment.
Q4. Does this course align with the DP-100 exam?
Yes, the curriculum is mapped directly to the official DP-100 exam objectives.
Q5. Are real-world projects included?
Yes, learners work on industry-relevant projects to gain practical experience.
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JastTech
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JastTech
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JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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