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AI Curriculum | Major: Computer Vision

Who should attend

  • The offer is aimed at specialists in Machine Learning or Deep Learning who would like to deepen their existing skills and gain expert knowledge in the field of Computer Vision
  • This major offers deep insights into the field of Computer Vision
  • You will acquire skills and programming techniques that will enable you to develop applications in the field of image and video processing and even for the creation of new image and video material
  • Requirements:
    • Knowledge of Linear Algebra and Differential Calculus
    • Advanced Python programming and Machine Learning skills, including, in particular, Deep Learning

What you learn

  • Learners will build the knowledge and skills relevant to key Computer Vision techniques, including:
    • Image and video analysis, such as image categorization and object detection, segmentation and tracking
    • Essential modeling techniques such as Convolutional Neural Networks (CNNs), Residual Networks, Single-shot Detectors (SSDs), including generative models for automatic image synthesis using, e.g., style transfer

How you learn

  • Learning path with a course program specially designed for Computer Vision use cases
  • Modern online learning experience from selected learning providers with high quality standards
  • From short learning nuggets for solving current problems to Nanodegree and recognized university certificate
  • Self-directed learning according to individual abilities and needs - at one's own pace, independent of time and place
  • Interactive learning formats with learning controls to check your own learning progress

Benefits

  • Acquire the competencies and skills necessary for working in the field of Computer Vision
  • Develop in your current role, or qualify for a new task
  • Benefit from a selected, well-structured and quality-checked digital learning curriculum
  • Learn from experts with high practical relevance
  • Exchange information on challenges and best practices in communities
  • Apply the learning content directly in your everyday professional life
  • Continue your education according to your individual knowledge, independent of time and place
  • Take the opportunity to develop further by completing a certificate or university degree

Further details

Coursera:

Udacity: