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Advanced Deep Learning – Vision Module

The Advanced Deep Learning – Vision Module course is customized with respect to manufacturing needs and requirements. It covers the basics of deep learning foundations for computer vision that will give introduction to cutting-edge applications like object detection and image segmentation. These skills are not only fascinating but also highly sought after in industries ranging from healthcare to autonomous driving.

The participants get to learn

  • Understanding of computer vision application
  • An introduction to object detection and image segmentation

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.

About Reboot Skills Project

The course is developed under the framework of the EU-funded REBOOT SKILLS project, an initiative designed to enhance the digital expertise of professionals in the European manufacturing sector, addressing the digital skills gap exposed by rapid digitization and the COVID-19 pandemic. Supported by the Digital Europe program, it collaborates with academia, research, and industry to offer accessible training in four key areas: Artificial Intelligence, Internet of Things, Robotics, and Cybersecurity.

Training Offer Details

Target audience
Digital skills for the labour force.
Digital technology / specialisation
Digital skill level
Geographic scope - Country
Austria
Belgium
Bulgaria
Cyprus
Industry - field of education and training
Generic programmes and qualifications not further defined
Target language
English
Geographical sphere
International initiative
Typology of training opportunties
Learning activity
e-learning coursework
Assessment type
Training duration
Is this course free
Yes
Is the certificate / credential free
Yes
Effort
Part time intensive
Self-paced course
Yes