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Image
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Publish in core platform
No
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URL
https://ltuedu.eu-west.catalog.canvaslms.com/browse/rebootskills/courses/ai-for-computer-vision
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Link text
AI for Computer Vision by LTU
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Link Type
Training url
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Target audience
Digital skills for the labour force.Digital technology / specialisation
Artificial IntelligenceDigital skill level
IntermediateGeographic Scope - Country
European UnionIndustry - Field of Education and Training
Generic programmes and qualifications not further definedTarget language
EnglishType of initiative
International initiative
Event setting
Target group
Persons who have completed tertiary education (EQF 6) High Achievers Persons in tertiary education (EQF 7)Typology of training opportunities
Course
Learning activity
lab / simulation / practice coursework
Assessment type
OnlineTraining duration
Up to 4 weeks
Organization
AI Competence SwedenIs this course free
Yes
Is the certificate/credential free
Yes
Type of training record
Single offer
Training Start date
2024
Effort
Part time light
Credential offered
Learning activity
Self-paced course
Yes
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Take the first step into the dynamic world of computer vision and image processing with our Introduction to Computer Vision and Image Processing course. Designed to be both practical and engaging, this course equips participants with the foundational knowledge and hands-on skills needed to excel in this transformative field. Whether you’re an experienced professional or a curious enthusiast, this training opens doors to new opportunities in robotics and beyond.
The participants get to learn
- An introduction to practical and theoretical aspects of computer vision and image processing
- Describe basic principles of image formation and analysis
- Interpret camera models and understanding on stereo vision
Who can attend this course
- Technicians aspiring to enhance their expertise and understanding.
- Engineers with a curiosity for the most recent advancements in robotics.
- R&D and production managers prepared to guide their teams to unprecedented success.
- Technical managers committed to achieving operational excellence.
- Anyone driven by a passion for enhancing efficiency and fostering innovation in robotics.



