Model Evaluation and Testing

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This course digs into model evaluation and testing, providing insights into key evaluation concepts like the confusion matrix, Business / KPI evaluation, learning curves, ROC and AUC curves, and evaluating AI models vs. the heuristic. This is an intermediate level course geared towards project managers and those in a more technical role such as data scientists, data engineers, data analyst, or designer.

What Will I Learn?

  • Model Evaluation & Testing
  • The Confusion Matrix
  • Business / KPI evaluation
  • Model iteration
  • Performance Evaluation
  • Business evaluation
  • Model evaluation curves
  • Evaluating vs. the heuristic

Who is this Training For?

  • Project Manager
  • Product Manager
  • Capability Manager
  • Technical Manager
  • Acquisitions Manager
  • Procurement & Contracting Officers
  • Computer Systems Programmer
  • Developer
  • AI Research Associate
  • Data Scientist
  • AI / Machine Learning (ML) Engineer
  • AI Assurance Engineer
  • Test & Evaluation Engineer, System Engineer
  • Network Analyst
  • Data Analyst
  • Operations Research Analyst
  • Deployment Engineer
  • Knowledge Operations Manager
  • Network Infrastructure Engineer
  • Information Technician
  • Data engineer
  • Network operations
  • Information technician
  • Data technician
  • Program manager
  • Project manager
  • Supply program manager
  • Designers

Supported Learning Paths

  • Cognilytica: CPMAI Certification
  • DoD JAIC: Drive AI, Create AI, Embed AI, Facilitate AI
  • Edison DSF: Data Science Professionals (DSP04 -DSP09), Data Engineering & Management Professionals (DSP10-DSP16)

Learning Levels

  • DoD JAIC AI: Intermediate (Applied) Level
  • Edison DSF: Level 4-5
  • Category: Implementing AI