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Master AI Manufacturing Company Certification · Digital course

MAMC Level 3 — Advanced AI Manufacturing Operations

Self-paced enrollment in Level 3 of the Master AI Manufacturing Company Certification: Design, risk-tier, test, and measure AI-assisted workflows across maintenance records, procurement, scheduling support, and controlled-document retrieval, with read-only system integrations, escalation paths, and a capstone that pilots one workflow end to end.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$549.00

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

    From Task to System: The Operations View of Plant AI

    Level 3 opens with the move from one careful AI-assisted plant task to work run across shifts, lines and customers: why volume, handoffs and silent errors change the risk, how a workaround becomes standard practice, who owns an operation and may pause it, and why the plant's own baseline comes before any redesign.

  2. Module 02

    Mapping a Plant Workflow Before Automating Anything

    How to map a plant workflow as it really runs across shifts, including the undocumented steps, the exceptions and the person everyone asks; where handoffs, review points and records sit; every point where controlled technical data, controlled unclassified information or process secrets cross a boundary; and a measured baseline.

  3. Module 03

    Risk-Tiering Plant AI Tasks by Consequence and Reversibility

    A tier grid for plant AI tasks built on consequence and reversibility, with safety, export exposure, product conformity and customer impact as axes; the review depth, approver, records and escalation each tier carries; a tiering register with re-tier triggers; and where a state AI law raises the tier because a task touches a decision about a person.

  4. Module 04

    Writing an SOP a Supervisor Can Enforce on Every Shift

    How to write a standard operating procedure for AI-assisted plant work that a supervisor can enforce: the steps, checks, evidence, approval, exceptions and stop points; plain writing so every shift does it the same way; approvers named by role; the records it leaves; and a test on someone who has never done the task.

  5. Module 05

    Building a Retrieval Corpus From Controlled Plant Documents

    How to build a retrieval corpus from a plant's controlled documents: choosing which prints, specifications, routers, work instructions, customer requirements and procedures go in; screening out export-controlled and controlled unclassified material before ingestion, because a corpus is a copy; tagging every document; and owning, reviewing and removing content.

  6. Module 06

    Retrieval Failure Modes: Superseded Revisions, Wrong Part, Wrong Customer

    How a plant document assistant fails with confidence: a withdrawn standard edition or a superseded print revision served as current, an answer drawn from the wrong part family or another customer's requirements, and instruction-like text inside a document. Each failure gets a defence, a citation rule and a check that catches it.

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.