DP-100: Azure Data Scientist Certification Training
Master Azure Machine Learning and become an expert in designing and implementing data science solutions. Learn MLOps, model deployment, and data science workflows on Azure.
🧑🏫 Training Format
Professional Microsoft Certified Training
Microsoft Certified Training
- • Instructor-Led Live Online Training
- • Delivered by Microsoft Certified Trainer (MCT)
- • Based on official Microsoft Courseware (MOC)
- • Includes authorized PowerPoint slides
- • Comprehensive lab guides and hands-on exercises
Lab Environment & Resources
- • Individual lab access via Skillable platform
- • Real Azure Machine Learning environments
- • Aligned with latest DP-100 exam objectives
- • We are an official Microsoft Partner
- • Authentic Microsoft certification training
📘 Exam Weightage Overview
Based on Microsoft's Official Exam Guide
DP-100: Azure Data Scientist
📩 Want full day-wise course content with labs and trainer plan?
Contact us on WhatsApp or email, and we'll send the detailed agenda.
Course Overview
This course teaches data scientists how to implement and run machine learning workloads on Azure. Students will learn the entire machine learning lifecycle from data exploration to model deployment and monitoring.
The course covers Azure Machine Learning service, MLOps practices, and how to operationalize machine learning solutions at scale using Azure technologies.
Learning Objectives
Target Audience
- • Data scientists and ML engineers
- • AI solution developers
- • Analytics professionals
- • Azure cloud practitioners with ML focus
Prerequisites
- • Programming experience in Python
- • Knowledge of machine learning concepts
- • Basic understanding of Azure services
- • Experience with data analysis libraries
Certification
This course prepares you for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam.
📚 Course Content
Official Microsoft curriculum based on DP-100T01 courseware
Module 1: Design a machine learning solution
- Design a data ingestion strategy
- Design a machine learning model training solution
- Design a model deployment solution
Module 2: Explore data and train models
- Explore data for machine learning
- Train machine learning models
- Optimize and manage models
Module 3: Prepare data for modeling
- Create data stores
- Create compute resources
- Prepare data for machine learning
Module 4: Deploy and retrain a model
- Deploy a model
- Monitor and maintain model performance
- Retrain a model
Master Azure Data Science!
Build and deploy machine learning solutions with Azure ML and modern MLOps practices.
Ready to Master Azure Data Science?
Get detailed course information, pricing, and next available batch dates.
Prefer email? support@instrovate.com