Unit of competency Outline

Date retreived
24/07/2026 12:28 AM AWST

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Identify opportunities to apply artificial intelligence, machine learning and deep learning

Identify opportunities to apply artificial intelligence, machine learning and deep learning

Unit of competency
National Code
ICTAII401
State Code
ODT24
TGA Status
Current
DTWD Status
Approved
Current Release Number
1.00
Current Release Date
03/02/2022
View on TGA
State Implementation and Classification
Approved Date
25/05/2022
Field of Education
020119 - Artificial Intelligence
Original Release Date
25/05/2022
Nominal Hours
35
Description
This unit describes the skills and knowledge required to identify opportunities where artificial intelligence (AI), machine learning (ML) and deep learning (DL) can be applied to support the automation of work tasks and improve organisational productivity.The unit applies to individuals who may work across a wide range of information and communications technology (ICT) roles, including support technicians, system administrators, programmers and cloud systems administration support workers.No licensing, legislative or certification requirements apply to this unit at the time of publication.
Notes
Elements and Performance Criteria
1. Establish organisational AI, ML and DL objectives
  • 1.1 Confirm work brief and tasks according to organisational policies and procedures
  • 1.2 Confirm organisational goals for automating work tasks and improving productivity with required personnel
  • 1.3 Identify existing organisational AI, ML and DL technologies and processes
  • 1.4 Research and confirm application procedures for AI, ML and DL technologies according to work brief
2. Develop organisational recommendations for AI, ML and DL
  • 2.1 Document AI, ML and DL options according to organisational requirements
  • 2.2 Document advantages and disadvantages of AI, ML and DL technologies according to work brief
  • 2.3 Identify and document implementation risks for AI, ML and DL technologies in consultation with required personnel
  • 2.4 Explicitly reference selected AI, ML and DL technologies in required documentation
3. Finalise recommendations
  • 3.1 Seek feedback from required supervisor on recommendations
  • 3.2 Record and implement feedback across recommendations where required
  • 3.3 Submit final recommendations to required personnel
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