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Master AI Manufacturing Company Certification · Digital course

MAMC Level 5 — AI Manufacturing Automation Specialist

Self-paced enrollment in Level 5 of the Master AI Manufacturing Company Certification: Build automation that holds: agents with bounded authority, orchestrated multi-step workflows, API and webhook integrations into ERP, MES, QMS, and CMMS on the enterprise side of the OT boundary, human-in-the-loop approvals, role-based access, prompt-injection defences, logging, monitoring, incident response, and honest ROI.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$599.00

One-time purchase

Enrollment includes

Responsible AI training built for manufacturing operations

Evaluate AI tools for manufacturing use cases, limitations, worker safety, data security, intellectual property, industrial-system risk, and professional-review boundaries.

Create reliable prompts and verification procedures for production, quality, maintenance, supply chain, inventory, training, reporting, and customer communication.

Improve operational documentation and analysis without delegating machinery control, safety, engineering, maintenance, quality, cybersecurity, or regulatory decisions to a model.

Automate repetitive office and plant workflows with defined data access, permissions, approvals, exceptions, audit trails, output checks, and escalation paths.

Curriculum at a glance

From production fundamentals to manufacturing leadership

View all 14 modules
  1. Module 01

    What an Agent May Do in a Plant: Authority and Its Limits

    Level 5 opens with authority: what changes when an AI system can take an action instead of writing text, the ladder from suggesting to acting inside the office systems, the three-question test before any authority is granted, and why nothing in this tier ever touches a controller, a robot, a CNC, an HMI or a safety function.

  2. Module 02

    The Agent Authority Register and What Never Goes to an Agent

    How to bound an agent's authority in writing: scope, systems, data classes, permitted and forbidden actions, rate and value limits, a named owner and a review date. Then the permanent forbidden list of nine acts that stay with named people, from dispositioning a part and releasing a lot to releasing a controlled file, making a reporting decision and moving money.

  3. Module 03

    Orchestrating a Plant Workflow Step by Step

    How to break a plant workflow into steps a system can run and steps a person must own, sequence them with explicit branches and an owned exception path, make retries safe when a step half-completed and the next one already fired, and design every workflow to stop rather than improvise. The patterns are engineering practice, and no measured plant benefit is claimed.

  4. Module 04

    The Integration Map and Data Contracts

    Before an automation connects to anything, draw every system it touches and every edge between them, label the class of data crossing each edge, write a data contract for each edge covering fields, units, revision identity and failure behaviour, and mark the boundary on the map that is never crossed.

  5. Module 05

    Read-First Integration With ERP, MES, QMS and CMMS

    Every integration starts read-only and stays there longer than feels necessary. This module covers running an automation in shadow, reading an interface contract and choosing a connection pattern, earning each write action separately through proposed records a person commits, and why a write to a quality system carries a weight a spreadsheet edit does not.

  6. Module 06

    The OT Boundary Nothing Crosses

    Why the plant-floor network is a different problem, which zero-trust ideas carry over and which do not, why hazardous-energy control and machine guarding set absolute limits on what any automation may do, and how to write the boundary statement that lets historian data flow out while nothing flows in.

Independent professional education

MAMC is an independent professional education program. It is not an engineering license, safety certification, trade license, regulatory approval, or equipment qualification and does not replace qualified engineering, maintenance, quality, safety, cybersecurity, legal, accounting, or regulatory review. AI-generated outputs require human verification. AI must not independently control industrial machinery, bypass approved safety systems, authorize unsafe equipment operation, or enable unauthorized access to industrial systems. Equipment operation must follow approved procedures, manufacturer instructions, applicable requirements, and site-specific controls. The program is not endorsed by OSHA, NIST, ISO, ASME, IEEE, NFPA, any engineering board, manufacturing association, labor organization, accrediting organization, regulator, or government agency. No professional education hours or approvals are claimed, and no productivity, quality, safety, uptime, compliance, profitability, or return-on-investment result is guaranteed.