Episode 71 — Understand the AI development life cycle from idea to retirement (Task 22)
This episode explains the AI development life cycle as the AAISM exam expects you to reason about it: a sequence of accountable decisions and controlled transitions from idea intake to retirement. You will define practical phases such as use-case selection, data sourcing, model development, evaluation, deployment, monitoring, and decommissioning, then connect each phase to the evidence and controls that prove the system is being managed safely. We use scenarios like expanding an internal assistant into a customer-facing product to show how scope changes create new risks and new control obligations. Troubleshooting focuses on life cycle gaps that cause exam-style failures, such as skipping retirement planning, losing version traceability, and deploying models without clear rollback and ownership. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
