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Computer Vision Engineer Courses

A Computer Vision Engineer creates algorithms for interpreting visual data, focusing on tasks like object detection and image recognition.

    • AI Exposure: High

      This role has a high level of AI exposure. While some human skills are required, many tasks could be automated or replaced by new technology.

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  • This role has a high level of AI exposure. While some human skills are required, many tasks could be automated or replaced by new technology.
      • NSW
      • ACT
      • VIC
      • QLD
      • TAS
      • WA
      • NT
      • SA
AI exposure data adapted from Felten, Raj & Seamans (2021). Shortage data sourced from Jobs and Skills Australia (2024).

How do I become a Computer Vision Engineer?

Get qualified to work as a Computer Vision Engineer with a course recognised across Australia. Speak to a training provider to learn more.

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Computer Vision Engineer careers

A Computer Vision Engineer develops systems that enable computers to interpret and understand visual information from the world. You might work in technology companies, research institutions, or specialised industries like healthcare or automotive. Computer Vision Engineers focus on creating algorithms and models that analyse images and video. You’ll work on tasks such as object detection, image recognition, and video analysis.

Computer Vision Engineers play a key role in advancing technologies that rely on visual data. You’ll need strong skills in programming, mathematics, and machine learning. You’ll collaborate with data scientists, software developers, and engineers to ensure that visual systems perform accurately and efficiently.