Designing and Implementing a Data Science Solution on Azure
DP-100Master Azure Machine Learning with hands-on DP-100 training. Build, deploy, and monitor ML solutions at scale. Prepare for Azure Data Scientist Associate certification with expert-led instruction and real-world projects.
🚀 Transform Your Data Science Career with Azure ML Expertise
This comprehensive 4-day instructor-led DP-100 course equips you with the skills to design, build, and operationalize enterprise-grade machine learning solutions using Azure Machine Learning. Perfect for data scientists and ML engineers, this training combines deep technical instruction with 40-50% hands-on labs to ensure you master every aspect of the Azure ML workflow.
💡 What You'll Master
- End-to-End ML Workflows: Design workspaces, manage data assets, and configure compute resources using Python SDK v2, Azure CLI, and Studio
- Advanced Model Training: Leverage MLflow tracking, Automated ML, and hyperparameter tuning to build optimized models
- Production Deployment: Deploy models to real-time and batch endpoints with scaling, versioning, and authentication
- MLOps Excellence: Build reproducible ML pipelines, implement CI/CD patterns, and automate retraining workflows
- Responsible AI: Embed fairness, interpretability, and bias detection into your models with built-in dashboards
- Monitoring & Governance: Track model drift, performance metrics, and maintain production reliability
🎯 Certification-Ready Training
Aligns perfectly with the Microsoft Certified: Azure Data Scientist Associate (DP-100) exam. Gain practical experience with real-world scenarios that mirror production environments, ensuring you're ready to implement Azure ML solutions from day one.
👥 Ideal For
Data Scientists, ML Engineers, AI Developers, and professionals seeking to operationalize machine learning at cloud scale using Azure's powerful ML platform.