Course Outline

Introduction to AI Builder and Low-Code AI for Government

  • Overview of AI Builder capabilities and common use cases for government
  • Licensing, governance, and tenant-level considerations for government agencies
  • Integration with Power Platform tools (Power Apps, Power Automate, Dataverse) to enhance public sector operations

OCR and Form Processing: Structured and Unstructured Documents for Government

  • Differentiating between structured templates and free-form documents in government contexts
  • Preparing training data: labeling fields, ensuring sample diversity, and adhering to quality guidelines for government
  • Building an AI Builder form processing model and assessing extraction accuracy for government applications
  • Post-processing extracted data: validation, normalization, and error handling in a governmental setting
  • Hands-on lab: OCR extraction from mixed form types and integration into a processing flow for government operations

Prediction Models: Classification and Regression for Government

  • Problem framing: qualitative (classification) vs quantitative (regression) tasks in public sector scenarios
  • Feature preparation and handling missing data within Power Platform workflows for government
  • Training, testing, and interpreting model metrics (accuracy, precision, recall, RMSE) for government applications
  • Model explainability and fairness considerations in business use cases for government agencies
  • Hands-on lab: building a custom prediction model for churn/score or numeric forecast for government operations

Integration with Power Apps and Power Automate for Government

  • Embedding AI Builder models into canvas and model-driven apps for enhanced government services
  • Creating automated flows to process extracted data and trigger business actions in government processes
  • Design patterns for scalable, maintainable AI-driven applications for government
  • Hands-on lab: end-to-end scenario — document upload, OCR, prediction, and workflow automation for government operations

Complementary Process Mining Concepts (Optional) for Government

  • How Process Mining helps discover, analyze, and improve processes using event logs in government agencies
  • Using Process Mining outputs to inform model features and automate improvement loops in government operations
  • Practical example: combining Process Mining insights with AI Builder to reduce manual exceptions in government workflows

Production Considerations, Governance, and Monitoring for Government

  • Data governance, privacy, and compliance when using AI Builder on sensitive documents in government
  • Model lifecycle: retraining, versioning, and performance monitoring for government applications
  • Operationalizing models with alerts, dashboards, and human-in-the-loop validation for government processes

Summary and Next Steps for Government

Requirements

  • Experience with Power Apps, Power Automate, or Power Platform administration for government
  • Familiarity with data concepts, foundational machine learning principles, and model evaluation techniques
  • Proficiency in working with datasets, Excel/CSV exports, and basic data cleansing processes

Audience

  • Power Platform developers and solution architects for government agencies
  • Data analysts and process owners interested in automating tasks through artificial intelligence
  • Business automation leads focused on document processing and predictive use cases within the public sector
 14 Hours

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