Stage 1: Agent identity and the registry
Give every agent a record that says who it is and who owns it.
£299 programme
Mai Studies Original · Artificial Intelligence & Data
Build an Agentic AI Operations Console
Buyers are no longer asking whether to use AI agents; they are asking who the agent is, what it is allowed to touch, what it did, and what it cost. That is the product you build here, in six stages, writing code in the page with instant checks and a marked deliverable at each stage. The project output is owned by Mai Studies and may be licensed or sold; you keep the right to show your own work in your portfolio.
12 weeks 90 guided hours Advanced
No account needed to buy. Pay with your card and we create your student account from the email you enter, with this programme ready inside it for twelve months.
What you will achieve
- Give every agent a verifiable identity and a registry record
- Write a policy engine that decides which tools an agent may call
- Turn a goal into an ordered, inspectable plan of steps
- Record an audit trail an auditor can follow without reading code
- Enforce spend, rate and behaviour limits before a call is made
Entry guidance
- — Comfortable writing JavaScript functions
- — Basic understanding of how an API call works
- — Around seven hours a week for twelve weeks
Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.
Programme syllabus
6 applied modules
15h
Stage 2: Tool permissions and the policy engine
Decide, before the call, whether the agent may do this.
Stage 3: Planning: turning a goal into inspectable steps
Make the agent show its work before it does any of it.
Stage 4: The audit trail an auditor can actually read
Record what happened in a form that survives a dispute.
Stage 5: Spend, rate and behaviour guardrails
Stop the expensive mistake before it is made.
Stage 6: The operator console and handover
Make the system usable by the person on shift at 3am.
What students say
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