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Master AI Manufacturing Company Certification · Digital course

MAMC Level 4 — Master AI Manufacturing Company Certification

Self-paced enrollment in Level 4 of the Master AI Manufacturing Company Certification: Own AI for a manufacturing company: write the AI programme, assign accountability, assess vendors and embedded AI in equipment, hold the OT/IT and export-control lines, apply AI inside quality, engineering change and multi-tier supply chains, defend complex scenarios, and prepare for independent verification and customer audit.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$649.00

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 a Manufacturer Owes: Accountability for AI Across the Company

    Level 4 opens with accountability: why a manufacturer spreads responsibility for AI across operations, quality, engineering, EHS, IT and the owner until nobody holds it, how to place it with named people for safety, product conformity, controlled technical data and company information, and what no tool, integrator or vendor can take off the company.

  2. Module 02

    Writing the Company AI Governance Programme

    How to write an AI governance programme sized to a plant with no legal department: the permitted-use inventory, data classes, decision rights, stop authority, supervision, records and review cycle, how it sits beside the quality management system without pretending a quality standard requires it, and the voluntary AI management-system standard as an optional frame.

  3. Module 03

    The AI Decision Record and the Evidence Pack

    How to record why each AI governance decision was made and on what basis, what a future plant manager, customer auditor, registrar, insurer or prime contractor would need to see, how to assemble the evidence pack before anyone asks for it, and how to keep the record alive when the people who made the decisions move on.

  4. Module 04

    Mapping Every Obligation That Binds the Plant

    A company-level map of what binds a manufacturer and for which work: workplace safety, environmental permits and reporting, consumer-product hazard reports, origin claims, export and defence obligations, and state and foreign AI statutes, with law, contract, voluntary standard and certification scheme kept in separate columns and a method for deciding what a change means.

  5. Module 05

    Export Control and Controlled Information as a Governance Function

    Turning the deemed export rule into a company control: who holds export authority and what that person decides, the screening gate before any file reaches any service, technology control across shared drives, AI tools and plant access, what published information and the encryption provisions do not excuse, registration questions, and the record that proves screening happened.

  6. Module 06

    Defence Flowdowns, the Certification Programme and Cloud AI Services

    What a prime's flowdown obliges a small supplier to do: the basic safeguarding clause, the covered defense information clause and its incident reporting, the assessment clause, the security requirements a contract incorporates and the dated certification programme rules, applied to the live question of whether controlled unclassified information may reach a cloud AI service.

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.