weeds and diseases AHCPMG301 Control weeds * We can develop additional elective units that are not listed on request (Please contact us for further information)
equipment and machinery AUMFBM001 Prepare and process automotive materials and components Electives AUMAFA001 Apply for jobs and undertake job interviews AUMATK013 Monitor and maintain automotive equipment AUMFQM001 Apply continuous improvement in automotive manufacturing * We can develop additional elective units that are not listed on request (Please contact us for further information)
sealants and adhesives AURTTA118 Develop and carry out diagnostic test strategies AURTTK102 Use and maintain tools and equipment in an automotive workplace Electives AURETR124 Diagnose and repair compression ignition engine management systems AURETR129 Diagnose and repair charging systems AURETR130 Diagnose and repair starting systems AURHTE102 Diagnose and repair heavy vehicle compression ignition engines AURHTF102 Diagnose and repair heavy vehicle diesel fuel injection systems AURKTA005 Inspect
equipment and controls UEEEL0010 Evaluate and modify low voltage socket outlets circuits UEEEL0012 Install low voltage wiring
Core units AHCWHS202 Participate in workplace health and safety processes AHCWRK211 Participate in environmentally sustainable work practices AHCWRK212 Work effectively in industry FBPFSY2002 Apply food safety procedures FBPOPR2074 Carry out manual handling tasks FBPOPR2070 Apply quality systems and procedures Electives AHCBIO203 Inspect and clean machinery
Assessment Kit-SIRXCOM002 Work effectively in a team SIF weeds and diseases AHCPMG301 ControlOur assessment resources contain everything you need to begin assessing your learners. Our assessment resources include: Assessment Pack (Student) Trainer Assessment Pack (Marking Guide) Mapping for each unit of competency Assessment Record Tools Our assessment resources have been aligned to learner cohorts, industry needs and ACSF indicated levels. In order to achieve this, we have conducted: Industry consultation Robust validations Assessment of