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Duration 14 hours
Course Outline
Azure Machine Learning Fundamentals
- Overview of AML features and architecture
- Overview of end-to-end workflows in AML (Azure ML pipelines)
- Navigating the Azure Machine Learning Studio interface
Data Preparation and Modeling
- Techniques for data preparation
- Constructing machine learning models
- Training and testing model performance
Model Evaluation and Robustness
- Validation metrics for assessing ML models
- Strategies for handling 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 configuration and authentication processes
Retrieval and Application Integration
- Managing documents with AI Search
- Integrating OpenAI models into existing applications
Customization and Production Practices
- Model fine-tuning and customization
- Best practices for production environments
Summary and Future Steps
Requirements
- A solid grasp of Python and fundamental machine learning concepts
- Experience working with REST APIs or SDKs
- Basic familiarity with the Azure service ecosystem
Target Audience
- Data scientists and ML engineers
- Application developers incorporating AI features
- Technical leads and solution architects
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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