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Duration 14 hours
Course Outline
Azure Machine Learning Fundamentals
- Insight into AML features and architecture
- Overview of end-to-end workflows in AML (Azure ML pipelines)
- Exploring Azure Machine Learning Studio
Data Preparation and Modeling
- Preparing data for analysis
- Constructing models
- Training and testing model performance
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 to production
OpenAI API Basics on Azure
- Introduction to the OpenAI API
- API setup and authentication
Retrieval and Application Integration
- Managing documents with AI Search
- Integrating OpenAI models into applications
Customization and Production Best Practices
- Model fine-tuning and customization
- Best practices for production environments
Summary and Next Steps
Requirements
- Proficiency in Python and foundational machine learning concepts
- Practical experience with REST APIs or SDKs
- General familiarity with Azure services
Intended Audience
- Data scientists and ML engineers
- Application developers implementing AI capabilities
- Technical leads and solution architects
Testimonials (1)
the instructor :)
