Chapters 9–11 resources

AI Engineer Portfolio Project Templates

Keep the contract, evidence, failures, and limitations for all three roadmap projects in one editable workspace.

01

Path A foundation

From Data to Model

Turn a defined decision into a measurable prediction problem, establish a baseline, evaluate honestly, and explain what the evidence does not establish.

02

Path B foundation

Build a Modern AI Application

Build an application with a user problem, information boundary, evaluation set, error policy, and an explicit response when the model is uncertain.

03

Path C foundation

Build With Production Constraints

Make deployment, observability, reproducibility, security, and failure recovery explicit enough for another engineer to reason about the service.