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AI Foundations for Manufacturing Professionals course cover

Master AI Manufacturing Company Certification · Digital course

MAMC Level 1: AI Foundations for Manufacturing Professionals

Self-paced enrollment in the 32-module MAMC Level 1 curriculum, covering responsible AI across production, quality, maintenance, supply chain, safety, data, automation, finance, cybersecurity, and manufacturing leadership.

Modules
16
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$299.00

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 16 modules
  1. Module 01

    Modern Artificial Intelligence in a Manufacturing Company

    What the systems sold to a plant as "AI" actually are, and why that changes how you check them. This module separates fixed automation, rules, statistical process control, machine learning and generative AI, explains how a language model builds an answer, opens up the retrieval, tools and agents inside plant products, and maps the categories a small manufacturer meets.

  2. Module 02

    What AI Can and Cannot Reliably Do With Plant Information

    Fluent output is not checked output. This module shows how a tool invents a standard, a revision or a part number, how tolerance and unit arithmetic fails silently, how to read an accuracy figure next to the recall it is hiding, and why the strongest countermeasure to over-trust is a habit rather than a warning label.

  3. Module 03

    Export-Controlled Technical Data, Deemed Exports and AI Tools

    The sharpest AI trap in manufacturing. This module explains what technical data is, why releasing it to a foreign person inside the United States can itself be an export, what the published-information and end-to-end-encryption provisions really cover, who must register, and how to decide whether a drawing may enter a system at all.

  4. Module 04

    Trade Secrets, Process Knowledge and What Never Leaves the Plant

    Your parameters, your heat-treat recipe, your yields and your cost model are the plant's crown jewels, and federal law protects them only while you keep them secret. This module covers the statutory definition, the reasonable-measures element a pasted prompt can quietly weaken, what a federal civil action involves, the notice employers owe, and how to classify plant data.

  5. Module 05

    Who Owns the Decision: Engineering, Quality, Safety and Production Accountability

    A tool can draft, extract, summarise and flag. It never dispositions a part, releases a lot, seals a drawing or clears a machine. This module covers the duties that do not move when AI helps: the employer's duty under the general duty clause, the named quality authority, the state question of whether a document needs a seal, and a code that binds only its members.

  6. Module 06

    Law, Standard, Certification Scheme or Contract: Telling Them Apart

    An OSHA rule is law. A quality standard is a document you buy. Certification is a scheme sold by a registrar or demanded by a customer. And an automotive or aerospace requirement binds you through a purchase agreement, not a statute. This module teaches the four apart, places the quality standards accurately, and shows where the voluntary AI management standard fits.

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.