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Duration 14 hours
Course Outline
Azure Machine Learning Fundamentals
- Overview of AML features and architecture
- Introduction to end-to-end workflows in AML (Azure ML pipelines)
- Exploring Azure Machine Learning Studio
Data Preparation and Modeling
- Data preprocessing techniques
- Model construction
- Model training and testing
Model Evaluation and Robustness
- Validation metrics for ML models
- Managing and preventing overfitting
Model Management and Deployment
- Registering trained models
- Generating model images
- Deploying models
OpenAI API Basics on Azure
- Introduction to the OpenAI API
- API configuration and authentication
Retrieval and Application Integration
- Utilizing documents with AI Search
- Embedding OpenAI models into applications
Customization and Production Practices
- Model fine-tuning and customization
- Best practices for production environments
Summary and Next Steps
Requirements
- Knowledge of Python and fundamental machine learning principles
- Experience working with REST APIs or SDKs
- Basic familiarity with the Azure service ecosystem
Target Audience
- Data scientists and ML engineers
- Application developers integrating AI features
- Technical leads and solution architects
