Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Azure Machine Learning Fundamentals
- Overview of AML features and architecture.
- Overview of an end-to-end workflow in AML (Azure ML pipelines).
- Navigating Azure Machine Learning Studio.
Data Preparation and Modeling
- Data preparation.
- Building a model.
- Training and testing a model.
Model Evaluation and Robustness
- Validation metrics for ML models.
- Handling and preventing overfitting.
Model Management and Deployment
- Registering a trained model.
- Creating a model image.
- Deploying a model.
OpenAI API Basics on Azure
- Introduction to the OpenAI API.
- API configuration and authentication.
Retrieval and Application Integration
- Documents with AI Search.
- Integrating OpenAI models into applications.
Customization and Production Practices
- Model fine-tuning / customization.
- Best practices in production.
Summary and Next Steps
Requirements
- A solid understanding of Python and fundamental machine learning concepts.
- Practical experience with REST APIs or SDKs.
- Basic familiarity with Azure services.
Target Audience
- Data scientists and ML engineers.
- Application developers focused on building AI features.
- Technical leads and solution architects.
14 Hours
