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Guides, frameworks, and working tools for people moving into applied AI work. Clear enough to use, honest enough to trust.
Start here / Career transition
A practical guide to learning AI operations: workflows, process design, governance, measurement, and portfolio evidence.
Read the guideA working principle
Learn the decision before you choose the tool.
The index
Learn what to look for in an AI governance course, from risk mapping and controls to evidence and decision-making.
Updated 2026-08-27
A practical checklist for comparing AI automation courses and choosing one that teaches reliable workflow design instead of tool demos.
Updated 2026-08-27
Understand the practical skills an AI product management course should develop, from problem framing and evaluation to responsible launch decisions.
Updated 2026-08-27
A realistic guide to moving into AI operations from an adjacent career, including skills to build, evidence to create, and claims to avoid.
Updated 2026-08-27
Compare self-paced labs, cohort programmes, short courses, and independent projects before choosing an AI learning path.
Updated 2026-08-27
Compare Iteretta with traditional bootcamp formats by price, curriculum, feedback, practical work, access, and credential.
Updated 2026-08-27
Plan realistic study time for an AI course by separating lessons, assessment, revision, and career application work.
Updated 2026-08-27
A reusable brief for scoping an AI-assisted workflow with a clear problem, inputs, decisions, controls, and success measures.
Updated 2026-08-27
A lightweight checklist for reviewing an AI use case before adoption, covering purpose, ownership, data, risk, controls, and evidence.
Updated 2026-08-27
Interview prompts that help career changers explain applied AI decisions, workflow design, governance, and evidence without overstating experience.
Updated 2026-08-27
A simple rubric for reviewing whether an applied AI portfolio piece shows clear problem framing, sound decisions, practical evidence, and honest limits.
Updated 2026-08-27
A transferable framework for organising applied AI skills across process, product, automation, governance, and professional communication.
Updated 2026-08-27
