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Duration 14 hours
Course Outline
Azure Machine Learning Fundamentals
- Overview of AML features and architecture
- Understanding end-to-end workflows in AML (Azure ML pipelines)
- Navigating Azure Machine Learning Studio
Data Preparation and Modeling
- Preparing data for analysis
- Constructing a model
- Training and testing the model
Model Evaluation and Robustness
- Applying validation metrics to ML models
- Addressing and preventing overfitting
Model Management and Deployment
- Registering a trained model
- Generating a model image
- Deploying the model
OpenAI API Basics on Azure
- Introduction to the OpenAI API
- Configuring and authenticating the API
Retrieval and Application Integration
- Managing documents with AI Search
- Integrating OpenAI models into applications
Customization and Production Practices
- Fine-tuning and customizing models
- Best practices for production environments
Summary and Next Steps
Requirements
- Familiarity with Python and fundamental machine learning concepts
- Experience working with REST APIs or SDKs
- Basic knowledge of Azure services
Target Audience
- Data scientists and ML engineers
- Application developers building AI features
- Technical leads and solution architects
