Map the blueprint
Read the target candidate description and all four domain task lists. Mark unfamiliar objectives.
Seven deliberate sessions
A focused 7-day AIB-C01 study plan
A short plan for candidates who already work around AI initiatives. Extend each day if the concepts are new.
Build AI literacy
Review solution fit, data types and quality, agents, prompting, context limits, RAG, and fine-tuning.
Practice business value
Work through prioritization, build-buy-partner tradeoffs, baselines, KPIs, ROI, and cost controls.
Govern by design
Connect fairness, explainability, privacy, safety, transparency, robustness, oversight, and access control to scenarios.
Prepare the organization
Study maturity, data ownership, sponsorship, cross-functional teams, workforce concerns, and AI literacy.
Scale deliberately
Review pilot gates, short-term wins, COEs, continuous feedback, production readiness, and continuity.
Simulate and close gaps
Take the 32-question set. Review every rationale and repeat the weakest domain—not only missed questions.
Ready to benchmark?
Take the practice exam