Do I need an engineering or technical background to take Level 1?

No. Level 1 is written for everyone in a manufacturing company, from the front office to the shop floor. Technical terms are explained where they first appear, and the exercises use fictional plants and parts so no specialist knowledge is assumed.

Will Level 1 teach me to let AI run or adjust production equipment?

No, and no level of the programme does. The programme keeps a fixed boundary: AI never controls machinery, changes a controller setting, bypasses a safeguard, or authorises operation. Level 1 teaches you to use AI for information, drafting, analysis, and communication that a qualified person then reviews.

Which AI tools does the course use?

The course is vendor-neutral. Every exercise can be completed with any general-purpose assistant your company has approved, and the lessons explain how to judge whether a tool is suitable for the data involved, including customer drawings and export-controlled technical data.

What do I receive when I finish?

A Level 1 certificate issued by AI Coalition Network with a public verification page and QR code. It records completion of this course only. It is not an engineering licence, a safety certification, or a regulatory approval, and it does not by itself complete the master programme.

How long does Level 1 take?

About thirty-two hours of self-paced study across thirty-two modules, including the module knowledge checks and the final examination. Most learners spread the work across several weeks alongside their normal shift or office schedule.

Master AI Manufacturing Company Certification · Level 1 · Foundations

AI Foundations for Manufacturing Professionals

Level 1 of the Master AI Manufacturing Company Certification

The responsible AI grounding manufacturing professionals need before applying AI to production, quality, maintenance, engineering support, supply chain, safety, industrial data, or company operations.

Enroll in Level 1 Full curriculum

Level: 1 of 6
Difficulty: Beginner
Estimated time: 32 hours
Modules: 32
Curriculum: Version 2026.2

About this level

Level 1 is the foundation of the Master AI Manufacturing Company Certification. It gives everyone in a manufacturing company, from the owner to the second-shift lead, the same vocabulary for what artificial intelligence is, what it can and cannot do, and where the lines are drawn in a plant.

The thirty-two modules move from AI fundamentals (machine learning, generative and multimodal models, computer vision, agents, predictive analytics, hallucination and its limits) into the operations of a manufacturer: production planning, shop-floor reporting, standard operating procedures and work instructions, quality management, root-cause analysis, maintenance and reliability, engineering and product development support, supply chain, inventory, procurement, safety and environmental documentation, workforce training, labor planning, finance, sales and quoting, marketing, cybersecurity, operational technology, data and KPIs, agents, computer vision, robotics, governance, leadership, and the future of AI in manufacturing.

Every module is built on three boundaries that the whole programme keeps. First, AI never controls industrial machinery, bypasses a safeguard, authorises unsafe operation, or replaces an approved procedure, a manufacturer's instruction, or a site-specific control. Second, qualified people (engineers, maintenance technicians, quality reviewers, safety personnel, cybersecurity staff, finance, and legal) review every AI output before it becomes a record, a decision, or a communication. Third, the company's information (trade secrets, customer drawings, export-controlled technical data, and employee data) is classified before it reaches any AI tool.

You will finish Level 1 able to describe an AI use case in plain terms, explain its limits to a colleague, write a basic prompt with verification built in, classify the data involved, and know who must review the result. That is the platform on which Levels 2 to 6 build: applied professional workflows, advanced operations with a capstone, the master credential, automation specialist work, and certified instruction.

This is an independent educational course offered by AI Coalition Network. It is not an engineering licence, a safety certification, a trade licence, a regulatory approval, or an equipment qualification, and it does not replace qualified engineering, maintenance, quality, safety, cybersecurity, legal, accounting, or regulatory review.

What you will be able to do

Explain machine learning, generative and multimodal AI, computer vision, agents, and predictive analytics in plain language and describe how each applies to a manufacturing operation.
Describe hallucination, bias, and model limitations, and identify the manufacturing outputs (procedures, settings, tolerances, safety steps, supplier facts) that must never be accepted without qualified verification.
Write basic prompts for production, quality, maintenance, supply-chain, training, and customer tasks that supply the source documents and end with a review instruction.
Classify manufacturing data (public, internal, trade secret, customer-confidential, export-controlled technical data, and employee data) before it reaches any AI tool.
State the boundaries the programme keeps: AI never controls machinery, bypasses a safeguard, authorises unsafe operation, or replaces an approved procedure or a qualified reviewer.
Recognise the operational-technology systems in a plant (PLC, SCADA, HMI, MES, ERP, CMMS, QMS, historians) and explain why AI tools stay off the control network.
Identify who reviews an AI-assisted output in each manufacturing function and how that review is recorded.

Modules and lessons

Module 01

Artificial Intelligence Fundamentals

Understand machine learning, generative and multimodal AI, computer vision, voice systems, agents, predictive analytics, anomaly detection, hallucinations, and the limits that require human review.

Artificial Intelligence Fundamentals: Professional Foundations 50 min
Controlled Workflows for Artificial Intelligence Fundamentals 50 min
Applied Lab: Artificial Intelligence Fundamentals 50 min

Module 02

Manufacturing Operations Fundamentals

Connect AI use cases to discrete, process, batch, continuous, make-to-stock, make-to-order, assembly, machining, fabrication, packaging, work-center, routing, and production-lifecycle operations.

Manufacturing Operations Fundamentals: Professional Foundations 50 min
Controlled Workflows for Manufacturing Operations Fundamentals 50 min
Applied Lab: Manufacturing Operations Fundamentals 50 min

Module 03

Responsible AI and Professional Ethics

Protect workers, customers, suppliers, employee data, intellectual property, trade secrets, and accountability through transparent policies, documentation, retention, governance, and human oversight.

Responsible AI and Professional Ethics: Professional Foundations 50 min
Controlled Workflows for Responsible AI and Professional Ethics 50 min
Applied Lab: Responsible AI and Professional Ethics 50 min

Module 04

Prompt Engineering for Manufacturing

Build reusable, tested prompts for production, maintenance, quality, safety, engineering, supply chain, inventory, training, finance, customers, reporting, and output verification.

Prompt Engineering for Manufacturing: Professional Foundations 50 min
Controlled Workflows for Prompt Engineering for Manufacturing 50 min
Applied Lab: Prompt Engineering for Manufacturing 50 min

Module 05

Production Planning and Scheduling

Support forecasts, work orders, priorities, capacity, labor, machines, materials, shifts, sequences, setups, bottlenecks, schedule adherence, delay analysis, and human-reviewed recovery plans.

Production Planning and Scheduling: Professional Foundations 50 min
Controlled Workflows for Production Planning and Scheduling 50 min
Applied Lab: Production Planning and Scheduling 50 min

Module 06

Shop-Floor Operations

Improve shift handoffs, work instructions, production meetings, counts, scrap and downtime reports, material and labor coordination, mobile reporting, dashboards, escalation, and supervisor approval.

Shop-Floor Operations: Professional Foundations 50 min
Controlled Workflows for Shop-Floor Operations 50 min
Applied Lab: Shop-Floor Operations 50 min

Module 07

Standard Operating Procedures and Work Instructions

Draft and maintain accessible SOPs and work instructions with task sequences, safety warnings, quality checkpoints, tools, materials, revision control, approvals, training, and human technical review.

Standard Operating Procedures and Work Instructions: Professional Foundations 50 min
Controlled Workflows for Standard Operating Procedures and Work Instructions 50 min
Applied Lab: Standard Operating Procedures and Work Instructions 50 min

Module 08

Quality Management

Strengthen inspection plans, control points, defect classification, nonconformance reports, corrective and preventive actions, complaints, supplier quality, trends, audit preparation, and qualified quality review.

Quality Management: Professional Foundations 50 min
Controlled Workflows for Quality Management 50 min
Applied Lab: Quality Management 50 min

Module 09

Root-Cause Analysis and Continuous Improvement

Support Five Whys, fishbone and Pareto analysis, process and value-stream mapping, failure patterns, corrective-action tracking, Lean, Six Sigma, DMAIC, prioritization, ROI, and human validation.

Root-Cause Analysis and Continuous Improvement: Professional Foundations 50 min
Controlled Workflows for Root-Cause Analysis and Continuous Improvement 50 min
Applied Lab: Root-Cause Analysis and Continuous Improvement 50 min

Module 10

Equipment Maintenance

Coordinate preventive, predictive, corrective, and reactive maintenance through work orders, inspections, parts, history, downtime, reliability measures, backlog priorities, dashboards, and technician review.

Equipment Maintenance: Professional Foundations 50 min
Controlled Workflows for Equipment Maintenance 50 min
Applied Lab: Equipment Maintenance 50 min

Module 11

Reliability and Predictive Analytics

Interpret asset criticality, failure modes, condition-monitoring signals, sensor trends, anomalies, predictive alerts, remaining-useful-life concepts, false positives, and reliability review without authorizing unsafe operation.

Reliability and Predictive Analytics: Professional Foundations 50 min
Controlled Workflows for Reliability and Predictive Analytics 50 min
Applied Lab: Reliability and Predictive Analytics 50 min

Module 12

Engineering Support

Assist with document summaries, specifications, change records, bills of materials, routing, tolerances, materials research, capability analysis, failure-mode support, test plans, and reports subject to qualified engineering approval.

Engineering Support: Professional Foundations 50 min
Controlled Workflows for Engineering Support 50 min
Applied Lab: Engineering Support 50 min

Module 13

Product Design and Development Support

Organize customer needs, requirements, concepts, reviews, prototypes, testing, revisions, product risk, manufacturability, assembly, packaging, supplier input, launch planning, and human design approval.

Product Design and Development Support: Professional Foundations 50 min
Controlled Workflows for Product Design and Development Support 50 min
Applied Lab: Product Design and Development Support 50 min

Module 14

Supply-Chain Management

Improve supplier research, qualification, scorecards, purchase and lead-time tracking, shortages, alternates, logistics, delivery performance, cost comparisons, disruption risks, communication, and procurement review.

Supply-Chain Management: Professional Foundations 50 min
Controlled Workflows for Supply-Chain Management 50 min
Applied Lab: Supply-Chain Management 50 min

Module 15

Inventory and Warehouse Management

Support raw material, work-in-process, finished-goods, and spare-parts controls including safety stock, cycle counts, lots, serials, obsolescence, stockout risk, receiving, picking, shipping, and verification.

Inventory and Warehouse Management: Professional Foundations 50 min
Controlled Workflows for Inventory and Warehouse Management 50 min
Applied Lab: Inventory and Warehouse Management 50 min

Module 16

Procurement and Purchasing

Prepare requests for quote, compare suppliers, analyze total cost, lead times, quantities, payment terms, contracts, vendor risk, documentation, approvals, dashboards, and savings opportunities with purchasing review.

Procurement and Purchasing: Professional Foundations 50 min
Controlled Workflows for Procurement and Purchasing 50 min
Applied Lab: Procurement and Purchasing 50 min

Module 17

Safety and Environmental Management

Improve hazard, pre-task, incident, near-miss, training, environmental, waste, and spill documentation without replacing qualified safety personnel, approved procedures, manufacturer instructions, or site requirements.

Safety and Environmental Management: Professional Foundations 50 min
Controlled Workflows for Safety and Environmental Management 50 min
Applied Lab: Safety and Environmental Management 50 min

Module 18

Workforce Training and Skills Development

Build onboarding, role training, skills matrices, competency checks, refreshers, microlearning, scenarios, multilingual and visual instruction, knowledge checks, records, career paths, and instructor oversight.

Workforce Training and Skills Development: Professional Foundations 50 min
Controlled Workflows for Workforce Training and Skills Development 50 min
Applied Lab: Workforce Training and Skills Development 50 min

Module 19

Labor Planning and Workforce Management

Support shift schedules, staffing, overtime, absence plans, skills availability, cross-training, temporary labor, capacity, training gaps, production coverage, labor costs, communication, and human-resources review.

Labor Planning and Workforce Management: Professional Foundations 50 min
Controlled Workflows for Labor Planning and Workforce Management 50 min
Applied Lab: Labor Planning and Workforce Management 50 min

Module 20

Manufacturing Financial Management

Analyze job, standard, and actual costs; labor, materials, machines, overhead, scrap, rework, downtime, variances, margins, budgets, forecasts, capital, cash flow, and profitability with qualified financial review.

Manufacturing Financial Management: Professional Foundations 50 min
Controlled Workflows for Manufacturing Financial Management 50 min
Applied Lab: Manufacturing Financial Management 50 min

Module 21

Sales, Quoting, and Customer Service

Support inquiries, requests for quote, lead-time estimates, order updates, complaint summaries, technical routing, proposals, account reviews, feedback, forecasts, and customer dashboards with sales and engineering review.

Sales, Quoting, and Customer Service: Professional Foundations 50 min
Controlled Workflows for Sales, Quoting, and Customer Service 50 min
Applied Lab: Sales, Quoting, and Customer Service 50 min

Module 22

Manufacturing Marketing and Business Development

Develop credible positioning, capability statements, case studies, portfolios, trade-show materials, search content, campaigns, technical articles, CRM workflows, lead qualification, follow-up, and reputation management.

Manufacturing Marketing and Business Development: Professional Foundations 50 min
Controlled Workflows for Manufacturing Marketing and Business Development 50 min
Applied Lab: Manufacturing Marketing and Business Development 50 min

Module 23

Cybersecurity for Manufacturing

Protect information and operational technology through segmentation, access controls, authentication, encryption, secure sharing, vendor controls, prompt-injection defenses, incident response, backups, and business continuity.

Cybersecurity for Manufacturing: Professional Foundations 50 min
Controlled Workflows for Cybersecurity for Manufacturing 50 min
Applied Lab: Cybersecurity for Manufacturing 50 min

Module 24

Operational Technology and Industrial Systems

Understand PLC, SCADA, DCS, HMI, MES, ERP, CMMS, QMS, warehouse, sensor, historian, edge, cloud, API, and governance concepts without bypassing controls or enabling unauthorized industrial access.

Operational Technology and Industrial Systems: Professional Foundations 50 min
Controlled Workflows for Operational Technology and Industrial Systems 50 min
Applied Lab: Operational Technology and Industrial Systems 50 min

Module 25

Manufacturing Data and Analytics

Improve collection, quality, cleansing, dictionaries, time-series analysis, production, quality, maintenance, inventory, supplier and customer data, dashboards, visualization, forecasting, and human interpretation.

Manufacturing Data and Analytics: Professional Foundations 50 min
Controlled Workflows for Manufacturing Data and Analytics 50 min
Applied Lab: Manufacturing Data and Analytics 50 min

Module 26

Manufacturing KPIs

Use overall equipment effectiveness, availability, performance, quality, yield, scrap, rework, cycle and lead time, delivery, utilization, downtime, inventory, supplier, labor, safety, customer, and profitability measures responsibly.

Manufacturing KPIs: Professional Foundations 50 min
Controlled Workflows for Manufacturing KPIs 50 min
Applied Lab: Manufacturing KPIs 50 min

Module 27

Building AI Agents for Manufacturing

Design narrowly scoped production, maintenance, quality, inventory, procurement, training, safety, engineering, customer, finance, knowledge, reporting, and compliance agents with approvals, permissions, logs, controls, and shutdown procedures.

Building AI Agents for Manufacturing: Professional Foundations 50 min
Controlled Workflows for Building AI Agents for Manufacturing 50 min
Applied Lab: Building AI Agents for Manufacturing 50 min

Module 28

Computer Vision in Manufacturing

Evaluate visual inspection, defect detection, classification, counting, assembly verification, PPE monitoring, traceability, image quality, model drift, false results, privacy, validation, and human quality review.

Computer Vision in Manufacturing: Professional Foundations 50 min
Controlled Workflows for Computer Vision in Manufacturing 50 min
Applied Lab: Computer Vision in Manufacturing 50 min

Module 29

Robotics and Automation

Assess industrial and collaborative robots, machine tending, material handling, automated inspection, workflow orchestration, integration risk, change control, maintenance, safety boundaries, and qualified automation review.

Robotics and Automation: Professional Foundations 50 min
Controlled Workflows for Robotics and Automation 50 min
Applied Lab: Robotics and Automation 50 min

Module 30

AI Governance and Risk Management

Establish inventories, ownership, risk tiers, approved uses, prohibited uses, vendor assessment, data controls, testing, monitoring, incident response, audits, change management, retention, and accountable oversight.

AI Governance and Risk Management: Professional Foundations 50 min
Controlled Workflows for AI Governance and Risk Management 50 min
Applied Lab: AI Governance and Risk Management 50 min

Module 31

Leadership and Change Management

Lead strategy, stakeholder engagement, workforce communication, pilot selection, process redesign, adoption, training, resistance management, governance, performance measures, scaling, and measurable implementation value.

Leadership and Change Management: Professional Foundations 50 min
Controlled Workflows for Leadership and Change Management 50 min
Applied Lab: Leadership and Change Management 50 min

Module 32

Future of AI in Manufacturing

Assess emerging agents, computer vision, robotics, digital twins, predictive systems, generative design, additive manufacturing, connected factories, workforce impacts, cybersecurity, regulation, and responsible innovation.

Future of AI in Manufacturing: Professional Foundations 50 min
Controlled Workflows for Future of AI in Manufacturing 50 min
Applied Lab: Future of AI in Manufacturing 50 min

Assessment

Level 1 Final Comprehensive Examination

Questions: 30
Time limit: 120 minutes
Passing score: 80%
Attempts: 3

Questions are drawn at random from a reviewed bank. Every module also has a knowledge check.

Completion and certificate

Complete every published lesson in all thirty-two modules.
Pass each module knowledge check with a score of 80 percent or higher.
Pass the Level 1 final comprehensive examination with a score of 80 percent or higher within the allowed attempts.
Acknowledge the academic-integrity statement before each examination attempt.

On completion you receive the certificate AI Foundations for Manufacturing Professionals (Level 1 of 6) with a unique number, a QR code, and a public verification page. Completing this level alone does not complete the master certification.

Frequently asked questions

Do I need an engineering or technical background to take Level 1?: No. Level 1 is written for everyone in a manufacturing company, from the front office to the shop floor. Technical terms are explained where they first appear, and the exercises use fictional plants and parts so no specialist knowledge is assumed.
Will Level 1 teach me to let AI run or adjust production equipment?: No, and no level of the programme does. The programme keeps a fixed boundary: AI never controls machinery, changes a controller setting, bypasses a safeguard, or authorises operation. Level 1 teaches you to use AI for information, drafting, analysis, and communication that a qualified person then reviews.
Which AI tools does the course use?: The course is vendor-neutral. Every exercise can be completed with any general-purpose assistant your company has approved, and the lessons explain how to judge whether a tool is suitable for the data involved, including customer drawings and export-controlled technical data.
What do I receive when I finish?: A Level 1 certificate issued by AI Coalition Network with a public verification page and QR code. It records completion of this course only. It is not an engineering licence, a safety certification, or a regulatory approval, and it does not by itself complete the master programme.
How long does Level 1 take?: About thirty-two hours of self-paced study across thirty-two modules, including the module knowledge checks and the final examination. Most learners spread the work across several weeks alongside their normal shift or office schedule.

Sources consulted

Primary sources that shaped this level. Each is labelled by what kind of authority it is; consult the original for the current text.

AI Coalition Network — Certification Educational Standard: Human Review of AI-Assisted Professional Work AI Coalition Network educational standard · accessed Sep 14, 2026
Cybersecurity and Infrastructure Security Agency (CISA) — Industrial Control Systems (topic page: ICS advisories and OT guidance) Industry guidance · accessed Sep 3, 2026
International Organization for Standardization (ISO) — ISO 9001:2015 - Quality management systems - Requirements Standard or framework · accessed Sep 3, 2026
National Institute of Standards and Technology — Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1 Standard or framework · published Jan 26, 2023 · accessed Sep 14, 2026
National Institute of Standards and Technology — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, NIST AI 600-1 Standard or framework · published Jul 26, 2024 · accessed Sep 14, 2026
National Institute of Standards and Technology — The NIST Cybersecurity Framework (CSF) 2.0 Standard or framework · published Feb 26, 2024 · accessed Sep 14, 2026
National Institute of Standards and Technology — NIST SP 800-82 Rev. 3: Guide to Operational Technology (OT) Security Standard or framework · published Sep 1, 2023 · accessed Sep 3, 2026
Occupational Safety and Health Administration (OSHA), U.S. Department of Labor — 29 CFR 1910.147 - The control of hazardous energy (lockout/tagout) Regulation · published Sep 1, 1989 · accessed Sep 3, 2026
Occupational Safety and Health Administration (OSHA), U.S. Department of Labor — 29 CFR 1910.212 - General requirements for all machines (machine guarding) Regulation · accessed Sep 3, 2026
Occupational Safety and Health Administration (OSHA), U.S. Department of Labor — 29 CFR 1910.1200 - Hazard Communication Regulation · accessed Sep 2, 2026
Occupational Safety and Health Administration (OSHA), U.S. Department of Labor — Recordkeeping: Injury and Illness Recordkeeping and Reporting Requirements (29 CFR Part 1904) Regulation · accessed Sep 3, 2026

Who it is for

Manufacturing company owners, executives, plant managers and operations leaders; production supervisors, planners and schedulers; manufacturing, industrial, process, automation, controls and reliability engineers; maintenance, quality, continuous-improvement, safety and environmental teams; supply-chain, procurement, inventory, warehouse, logistics, finance, sales and customer-service staff; and manufacturing IT, operational-technology, cybersecurity, and training staff. No prior AI knowledge is assumed.

Prerequisites

No prerequisites. Familiarity with how a manufacturing company is organised (production, quality, maintenance, engineering, supply chain, safety, and back office) helps, but every operational term used is explained in the module that introduces it.

Program roadmap

L1 · AI Foundations for Manufacturing Professionals Available
L2 · Certified AI Manufacturing Professional Available
L3 · Advanced AI Manufacturing Operations Available
L4 · Master AI Manufacturing Company Certification Available
L5 · AI Manufacturing Automation Specialist Available
L6 · Certified AI Manufacturing Instructor Available

Review cycle

Curriculum version 2026.2. Last reviewed Sep 2, 2026. Next review scheduled Sep 2, 2027.

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.