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
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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.
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DP-100: Azure Data Scientist Associate Curriculum
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.
Related Courses
Training Roadmap
Seven intentional milestones — from first session to dream job.
Onboarding
- Meet your industry mentor
- Define your goals
- Skill gap assessment
Core Learning
- Live interactive classes
- AI-curated content
- Recorded sessions
Hands-on Practice
- Weekly assignments
- MCQ evaluations
- Module quizzes
Real Projects
- 3 live industry projects
- Portfolio building
- Case studies
Mentorship
- 1:1 doubt sessions
- Peer collaboration
- Expert feedback
Certification
- Exam preparation
- Practice dumps
- Industry-recognised certificate
Career Launch
- Resume crafting
- Mock interviews
- Job placement support
Key Projects
Available Course Schedules
Select a schedule that works best for you
Starts
10 Oct 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
12 Oct 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
17 Oct 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
19 Oct 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Need a custom schedule?
Our team will craft the perfect batch for you.
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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.
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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.
Certification Details
DP-100: Azure Data Scientist Associate – Associate
- Exam Name
DP-100: Azure Data Scientist Associate – Associate
- Duration
130 minutes
- Format
Multiple Choice & Multi-Response
- Passing Score
720 (Scale: 100–1000)
- Level
Associate

Prepare
Top Interview Questions
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
Frequently Asked FAQs
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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Hyderabad
JastTech
Training & Development Center
91 Springboard Business Hub ,Madhapur LVS Arcade, 71, Jubilee Enclave, HITEC City, Hyderabad,India Telangana 500081
Pune
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
Noida
JastTech
Training & Development Center
B 8, B Block, Sector 2, Noida, Metro Station Rd, near sector 15 Metro, Uttar Pradesh 201301
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