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Duration 14 hours
Course Outline
Foundations of Azure Machine Learning
- Key features and architectural overview of AML
- Understanding end-to-end workflows within AML (Azure ML pipelines)
- Interface navigation in Azure Machine Learning Studio
Data Curation and Modeling
- Preparation of data sets
- Construction of models
- Processes for training and testing models
Assessing Model Performance and Stability
- Applying validation metrics to ML models
- Managing and mitigating overfitting
Model Governance and Release
- Registering trained models
- Generating model images
- Deploying models to target environments
Azure OpenAI API Essentials
- Getting started with the OpenAI API
- Configuring APIs and handling authentication
Retrieval and Application Integration
- Utilizing documents with AI Search
- Embedding OpenAI models into application architectures
Customization and Operational Excellence
- Fine-tuning and customizing models
- Best practices for production environments
Conclusion and Future Paths
Requirements
- Proficiency in Python and a grasp of fundamental machine learning principles
- Practical experience with REST APIs or SDKs
- Familiarity with core Azure services
Target Audience
- Data scientists and machine learning engineers
- Application developers implementing AI features
- Technical leads and solution architects
