CPMAI Methodology Phase IV: Model Development

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In this course we’ll walk you through Phase IV of the CPMAI Methodology. This phased is focused on model development including modeling assumptions, test design, algorithm selection, and other critical things needed for building and developing models. You’ll gain an understanding of AI project management including product development & prototyping and learn best practice for implementing AI on a large scale as well as AI’s impact on strategy. This intermediate level course is geared towards executives or managers running AI projects and looking for best practices and methodologies.

What Will I Learn?

  • Revisiting the CPMAI Methodology
  • Overview of Model Development
  • ML model terminology
  • ML Algorithm Selection
  • ML Model Training Needs and Methods
  • ML Model Tuning
  • Use and extension of third-party models
  • Use of Ensemble Methods
  • Overview of AutoML
  • Walk through of real-world examples

Who is this Training For?

  • Project Manager
  • Product Manager
  • Capability Manager
  • Technical Manager
  • Acquisitions Manager
  • Procurement & Contracting Officers
  • Computer Systems Programmer
  • Developer
  • Artificial Intelligence 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

Supported Learning Paths

  • Cognilytica: CPMAI Certification
  • DoD JAIC: Drive AI, Create AI
  • Edison DSF: Data Science Managers (DSP01 -DSP03)

Learning Levels

  • DoD JAIC AI: Intermediate (Applied) Level
  • Edison DSF: Level 3-4
  • Category: Implementing AI