Course Outline

Azure Machine Learning Fundamentals for Government

  • Overview of Azure Machine Learning (AML) features and architecture
  • Comprehensive workflow in AML, including the use of Azure ML pipelines
  • Navigating Azure Machine Learning Studio for government

Data Preparation and Modeling for Government

  • Data preparation techniques for public sector applications
  • Building a machine learning model tailored to government needs
  • Training and testing a model in a government context

Model Evaluation and Robustness for Government

  • Validation metrics for machine learning models in the public sector
  • Strategies for handling and preventing overfitting in government applications

Model Management and Deployment for Government

  • Registering a trained model for use in government operations
  • Creating a model image suitable for deployment in public sector environments
  • Deploying a model to support government missions and services

OpenAI API Basics on Azure for Government

  • Introduction to the OpenAI API for use in government applications
  • API configuration and authentication processes for public sector users

Retrieval and Application Integration for Government

  • Utilizing AI Search for document retrieval in government settings
  • Integrating OpenAI models into government applications to enhance functionality

Customization and Production Practices for Government

  • Model fine-tuning and customization for specific government requirements
  • Best practices in production deployment and management for government use cases

Summary and Next Steps for Government

Requirements

  • An understanding of Python and foundational machine learning concepts
  • Experience with REST APIs or software development kits (SDKs)
  • Basic knowledge of Azure services for government

Audience

  • Data scientists and machine learning engineers
  • Application developers integrating AI features
  • Technical leads and solution architects in the public sector
 14 Hours

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