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.
Duration 14 hours
Course Outline
Azure Machine Learning Fundamentals
- Overview of AML features and architecture
- Understanding end-to-end workflows within AML (Azure ML pipelines)
- Navigating the Azure Machine Learning Studio interface
Data Preparation and Modeling
- Data preparation techniques
- Constructing a model
- Training and testing model performance
Model Evaluation and Robustness
- Applying validation metrics to ML models
- Managing and preventing overfitting
Model Management and Deployment
- Registering a trained model
- Creating a model image
- Deploying the model to production
OpenAI API Basics on Azure
- Introduction to the OpenAI API
- API configuration and authentication methods
Retrieval and Application Integration
- Utilizing documents with AI Search
- Integrating OpenAI models into application stacks
Customization and Production Practices
- Model fine-tuning and customization strategies
- Implementing best practices for production environments
Summary and Next Steps
Requirements
- Proficiency in Python and an understanding of basic machine learning concepts
- Practical experience with REST APIs or SDKs
- Foundational familiarity with Azure services
Audience
- Data scientists and ML engineers
- Application developers integrating AI features
- Technical leads and solution architects
