Course Overview
The Microsoft Certified: Azure Data Scientist Associate (DP-100) course by Stalwart Learning is designed for individuals aspiring to become Azure data scientists. This course covers the essential skills required to build, train, and deploy machine learning models using Azure’s powerful machine learning platform. Participants will gain hands-on experience in applying data science techniques and algorithms, working with Azure Machine Learning, and implementing end-to-end solutions for predictive analytics. By the end of this course, learners will be well-prepared for the DP-100 certification exam and equipped to drive data science initiatives on Azure.
Duration
40 hours (5 days)
Prerequisites
- Familiarity with machine learning concepts and programming languages like Python or R.
- Basic understanding of Azure services and cloud computing is recommended.
Course Outline
1. Introduction to Azure Machine Learning
- Overview of the Azure Machine Learning platform and its components
- Setting up and managing Azure Machine Learning workspace and environments
2. Data Preparation and Exploration
- Preparing data for machine learning with Azure Data Factory and Azure Databricks
- Exploring and cleaning datasets using Python and Azure ML Studio
3. Model Development and Training
- Developing machine learning models with Azure Machine Learning SDK
- Training models using algorithms and best practices for model optimization
- Hyperparameter tuning and automated machine learning (AutoML)
4. Model Evaluation and Optimization
- Evaluating model performance using common metrics (accuracy, precision, recall)
- Using cross-validation and bias-variance tradeoff to improve models
- Implementing model explainability and fairness
5. Deploying Machine Learning Models
- Deploying models as REST APIs on Azure Kubernetes Service (AKS) or Azure App Service
- Managing model versions and scaling deployments
6. Model Monitoring and Management
- Monitoring deployed models using Azure Application Insights
- Implementing model retraining and version control for continuous improvement
7. Azure Machine Learning Security
- Implementing secure access and identity management with Azure Active Directory (AAD)
- Managing secrets and credentials using Azure Key Vault
8. Exam Preparation and Practice Tests
- DP-100 exam structure and tips
- Mock exams and scenario-based questions