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
Testimonials (3)
Practical and hands on labs on report developmemt using Power BI The labs were excellent and the trainer offered very good hands on sessions
Sinzala Sichaanji - Bank of Zambia
Course - Mastering Power Platform: Power Apps, Power Automate, DataVerse, Power BI, and Power Virtual Agents
We did quite complex examples, so we could get a feeling of how the real work with Power Automate Desktop can look like in the real world scenario.
Michal Strnad - MicroNova AG
Course - Microsoft Flow/Power Automate
Dynamic, adaptive, and informative
