CPMAI Methodology Phase II: Data Understanding

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In this course we’ll walk you through Phase II of the CPMAI Methodology. In this phase, we’ll help you with data understanding including answering what are your core data requirements and objectives, identifying sources and types of data for training, and other data focused understanding. 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
  • Core Aspects of Data Understanding
  • Needs for Data Collection
  • Working with Small Data
  • Building a Data Collection Pipeline
  • Identifying Training Data Needs
  • Using Pre-trained Models
  • Adapting Pre-trained Models
  • 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