Cursusaanbod

Introduction to AI Builder and Low-Code AI

  • AI Builder capabilities and common scenarios
  • Licensing, governance, and tenant-level considerations
  • Overview of the Power Platform integrations (Power Apps, Power Automate, Dataverse)

OCR and Form Processing: Structured and Unstructured Documents

  • Differences between structured templates and free-form documents
  • Preparing training data: labeling fields, sample diversity, and quality guidelines
  • Building an AI Builder form processing model and evaluating extraction accuracy
  • Post-processing extracted data: validation, normalization, and error handling
  • Hands-on lab: OCR extraction from mixed form types and integration into a processing flow

Prediction Models: Classification and Regression

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

Integration with Power Apps and Power Automate

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

Complementary Process Mining Concepts (Optional)

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

Production Considerations, Governance, and Monitoring

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

Summary and Next Steps

Vereisten

  • Experience with Power Apps, Power Automate, or Power Platform administration
  • Familiarity with data concepts, basic ML ideas, and model evaluation
  • Comfort working with datasets, Excel/CSV exports, and basic data cleansing

Audience

  • Power Platform developers and solution architects
  • Data analysts and process owners seeking automation through AI
  • Business automation leads focused on document processing and prediction use cases
 14 Uren

Leveringsopties

PRIVÉGROEPSTRAINING

Onze identiteit draait om het leveren van precies wat onze klanten nodig hebben.

  • Pre-cursusgesprek met uw trainer
  • Aanpassing van de leerervaring om uw doelen te bereiken -
    • Op maat gemaakte overzichten
    • Praktische, praktische oefeningen met gegevens / scenario's die herkenbaar zijn voor de cursisten
  • Training gepland op een datum naar keuze
  • Gegeven online, op locatie/klaslokaal of hybride door experts die ervaring uit de echte wereld delen

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Neem contact met ons op voor een exacte offerte en om onze laatste promoties te horen


OPENBARE TRAINING

Kijk op onze public courses

Reviews (2)

Voorlopige Aankomende Cursussen

Gerelateerde categorieën