AIPM The AI Project Life Cycle

This chapter covers the life-cycle logic AIPM uses to connect AI ideas to real project delivery. Many weak answers fail because they rush toward tooling or scale before the problem and evaluation logic are clear.

The first section focuses on problem scoping and use-case selection. The second focuses on evaluation, learning, and iteration.

The exam usually rewards the candidate who gets the order right: problem first, evidence next, scale later.

In this section

• AIPM Problem Scoping and Use-Case Selection in the AIPM Life Cycle
  Study AIPM Problem Scoping and Use-Case Selection in the AIPM Life Cycle: key concepts, common traps, and exam decision cues.
• AIPM Evaluation and Iteration in the AIPM Life Cycle
  Study AIPM Evaluation and Iteration in the AIPM Life Cycle: key concepts, common traps, and exam decision cues.