AI Builder: Advanced Applications for Data Extraction and Prediction Training Course

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