CPMAI Methodology Phase I: Business Understanding

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In this course we’ll walk you through Phase I of the CPMAI Methodology: Business Understanding. In this phase, we’ll help you with business understanding including answering what are your core business requirements and objectives, provide you with AI-relevant considerations, and an assessment of the business situation. 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?

  • The Data Foundation to AI
  • Data-centric Methodologies
  • Overview of CRISP-DM Methodology
  • Adapting CRISP-DM for Agile and AI
  • Overview of CPMAI Methodology
  • The ROI of the Seven Patterns of AI
  • Time to ROI for AI Projects
  • AI Problem Identification and Scoping / Criteria for AI Projects
  • AI Pilots vs. Proof-of-Concept
  • AI Go / No Go
  • Forming AI Project Teams
  • Walk Through 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