Azure Data Science Training Program
Azure Data Science Training | DP-100 Certification Course
Master AI and Machine Learning on Microsoft Azure
Start your cloud AI career with Global ERP Solutions. Our hands-on Azure Data Science Training is built around the Microsoft Certified: Azure Data Scientist Associate (DP-100) certification and gives you the skills to build, train, and deploy machine learning models using Azure Machine learning and other modern tools.
Course Overview
• Duration: 8 Weeks
• Format: Live online sessions + self-paced assignments
• Course Fee: $1800 + HST
Who Should Enroll?
• Data Analysts, Data Scientists, and ML Engineers
• Developers integrating AI into applications
• Fresh graduates and IT professionals transitioning into AI roles
Prerequisites
• Basic understanding of Python and statistics
• Familiarity with cloud or data analytics concepts (preferred)
Learning Outcomes
• Use Azure Machine Learning to build and deploy ML models
• Conduct data exploration, preprocessing, and visualization
• Train models with Azure ML SDK and AutoML
• Set up pipelines, monitor models, and retrain using MLOps
• Apply Responsible AI principles
• Prepare confidently for the DP-100 Certification Exam
Course Curriculum (DP-100 Aligned)
Module 1: Azure for Data Science
• Azure ML Workspace setup and resource configuration
• Azure ML Studio and Python SDK walkthrough
________________________________________
Module 2: Data Ingestion and Exploration
• Load and clean data using Azure tools
• Exploratory Data Analysis with notebooks
• Data profiling and feature understanding
________________________________________
Module 3: Feature Engineering
• Data transformations and feature selection
• Scaling, encoding, and dimensionality reduction
________________________________________
Module 4: Model Training and Evaluation
• Classical ML models in Azure ML
• Cross-validation, scoring, and performance metrics
• Hyperparameter tuning and experiment tracking
________________________________________
Module 5: Automated Machine Learning (AutoML)
• Create and deploy AutoML experiments
• Use cases and performance comparisons
• Model interpretation and visualizations
________________________________________
Module 6: Deployment and CI/CD Pipelines
• Register and deploy models with Azure ML
• Real-time endpoints and batch scoring
• Azure DevOps and GitHub integration
________________________________________
Module 7: Responsible AI and Monitoring
• Fairness, bias, and model exploitability
• Logging, alerts, and model versioning
• Security and governance in ML projects
________________________________________
Module 8: Certification & Project Support
• DP-100 certification prep and mock tests
• Final project with Azure ML (submitted via LMS)
• Resume optimization + technical interview coaching
________________________________________
Tools & Platforms Covered
• Azure Machine Learning Studio & SDK
• Azure Databricks (for MLflow basics)
• Azure Notebooks & Data Lake Gen2
• Azure Event Hub & Logic Apps (advanced use)
• Power BI (for visual insights)
• GitHub & Azure DevOps for MLOps
Project & Placements
Real-World Scenario-Based Deployment:
Set up a secure, cost-effective, and scalable infrastructure on Azure from scratch, using all the services covered in class.
Customized Personal Branding – Includes a tailored resume, an optimized LinkedIn profile designed to attract recruiters, and a professionally crafted cover letter.
Unlimited Mock Interviews – Practice sessions with career coaches and technical specialists to boost your confidence and performance.
Comprehensive Interview Prep Guide – Access to over 250 real-world interview questions and answers to help you prepare effectively.
Job Marketing & Placement Support – Benefit from our extensive network of IT recruiters and strategic partners to increase job opportunities.
Ongoing Career Coaching – Unlimited one-on-one sessions with a career coach throughout your job search and placement journey.
