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Artificial Intelligence for Computer Vision - Professional Diploma

Create intelligent systems that can analyse, process, and interpret vast amounts of visual data in real time with this one-year, part-time online programme.

Key information

EU fees per year €5,250
NFQ Level NFQ Level 9 Minor
Duration One year
Attendance Part-time
Programme type Taught, Professional / Flexible
Delivery Online
Start date September
Award Professional Diploma

Create intelligent systems that can analyse, process, and interpret vast amounts of visual data in real time with UL’s one-year, part-time online Professional Diploma in Artificial Intelligence for Computer Vision.

Tailored to professionals, it equips participants with practical and advanced skills in visual AI technologies such as deep learning, object detection, 3D images processing, and facial recognition systems across industry.

The programme includes peer-led learning, coding challenges, and strategic portfolio development, and empowers students to apply these skills to the workplace.

Ideal for graduates of computer science, engineering, or physics and technical professionals seeking to upskill with deep-learning-based computer vision techniques. You should have coding experience ideally in Python along with familiarity in linear algebra and basic machine learning concepts.

This programme will earn 30 ECTS credits towards a Flexible Masters Pathway, allowing students to combine Postgraduate awards to achieve a Master’s over time.

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During this programme, you will

  • Focus on deep learning applications and critical computer vision applications, including facial recognition and 3D reconstruction.
  • Explore Machine Vision and Image Processing principles and key topics such as linear image processing, feature detection and essential object detection.
  • Use advanced tools and techniques used in industry for real-world computer vision applications.
  • Develop critical thinking and problem-solving skills for designing and evaluating AI-powered visual systems across diverse sectors.
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