CPMAI Methodology Phase VI: Model Operationalization

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In this course we’ll walk you through phase VI of the CPMAI Methodology. In this phase, you’re focused on putting your models into operation, also called model operationalization. We discuss a deployment plan, a monitoring and maintenance plan, as well as additional considerations needed for model operationalization. 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
  • Putting Models into Operation
  • Machine Learning Operations (“ML Ops”)
  • Model Lifecycle Management
  • Model Governance
  • Model Security
  • On-Premise ML Operationalization
  • Operationalizing ML in the Cloud
  • 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