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

  • An understanding of Python and basic machine learning concepts
  • Experience with REST APIs or SDKs
  • Basic familiarity with Azure services

Audience

  • Data scientists and ML engineers
  • Application developers building AI features
  • Technical leads and solution architects
 14 Hours

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.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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