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Duration 14 hours
Course Outline
Azure Machine Learning Foundations
- Overview of AML capabilities and architecture
- Understanding end-to-end workflows in AML (Azure ML pipelines)
- Navigation within Azure Machine Learning Studio
Data Handling and Modeling
- Data preparation techniques
- Model construction
- Training and testing processes
Assessment and Model Robustness
- Applying validation metrics to ML models
- Mitigating and preventing overfitting
Model Lifecycle and Deployment
- Registering trained models
- Generating model images
- Executing model deployment
Foundations of OpenAI API on Azure
- Introduction to the OpenAI API
- API setup and authentication methods
Retrieval and Integration
- Managing documents with AI Search
- Embedding OpenAI models into applications
Customization and Operational Best Practices
- Model fine-tuning and customization
- Best practices for production environments
Wrap-up and Future Directions
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 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 3200 € + VAT*
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