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My LER
My LER
  1. Programs
  3. Advanced Manufacturing: Automation

Advanced Manufacturing: Automation

College of Southern Nevada

Short-Term Certificate

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

Dates

Since Mar 2022

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

Visit Program Website
Locations

Where this program is offered

  • Las Vegas, Nevada

    6375 W. Charleston Blvd., Las Vegas, Nevada, 89146-1164

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 17-2112.03

Skills

Complex Problem SolvingMathematicsReading ComprehensionJudgment and Decision MakingOperations MonitoringSpeakingMonitoringActive Listening

Knowledge

Engineering and TechnologyProduction and ProcessingMechanicalDesignMathematics

Abilities

Oral ComprehensionProblem SensitivityDeductive ReasoningInductive ReasoningCategory FlexibilityVisualizationNear VisionWritten ComprehensionOral ExpressionInformation Ordering

Tasks

  • Troubleshoot new or existing product problems involving designs, materials, or processes.
  • Investigate or resolve operational problems, such as material use variances or bottlenecks.
  • Identify opportunities or implement changes to improve manufacturing processes or products or to red

Technology

Computer aided design CAD softwareDevelopment environment softwareComputer aided manufacturing CAM softwareIndustrial control softwareDesktop communications software

Tools

Desktop computersDigital calipersDigital micrometersLaptop computersOptical compound microscopesPersonal computersPersonal digital assistants PDAScientific calculators

Work Values

Working ConditionsSupportRecognitionIndependenceAchievementRelationships
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium17-2112.03Manufacturing Engineerstitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: emerging (Level 1)(based on Short-Term Certificate)

  • Product design documentation — review for basic manufacturability gaps under direct supervision on a production floor assignment.
  • CAD and CAM software tools — navigate and apply to retrieve or modify existing part files within a structured engineering environment.
  • Manufacturing process steps — identify and sequence correctly by following established standard operating procedures on a production line.
  • Material use variances — recognize and flag discrepancies by comparing actual consumption data against planned quantities in an ERP system.
  • Root cause analysis templates — apply structured problem-solving frameworks under engineer guidance to document initial findings on a known process failure.
  • Lean manufacturing terminology and basic principles — demonstrate understanding by participating in guided continuous improvement workshops on the shop floor.
  • Technical reports and engineering specifications — read and interpret to extract relevant process parameters under the direction of a senior manufacturing engineer.
  • Quality control standards — apply inspection criteria to routine in-process checks in a supervised manufacturing environment.
  • Cross-functional team meetings — contribute observations and prepared data clearly and accurately when presenting findings to engineering colleagues.
  • Statistical data from production runs — collect and organize using spreadsheet software to support senior engineers performing process evaluations.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
50%
Placement Rate
14%