Course description

Welcome to our online course on Computer Vision, a fascinating subcategory of artificial intelligence (AI) that delves into the realm of visual data processing, analysis, and interpretation. In this course, you will embark on a journey to understand how digital systems can be designed and utilized to enable computing devices to accurately identify objects and individuals within digital images, facilitating appropriate and informed actions.

The core of computer vision lies in the utilization of Convolutional Neural Networks (CNNs) for processing visual data at the pixel level, and Deep Learning Recurrent Neural Networks (RNNs) to discern the intricate relationships between pixels. Through these advanced technologies, we aim to empower you with the knowledge and skills to navigate the complexities of computer vision.

The course is tailored for learners seeking a refresher on the fundamental concepts of computer vision and those desiring a brief introduction to its capabilities. By the end of this program, you will not only comprehend the essence of computer vision but also master its essentials. This knowledge will equip you to identify crucial computer vision application fields and understand the intricate workflows of digital imaging.

Key Course Highlights:
  • Understanding Computer Vision Basics: Gain a comprehensive understanding of the fundamental ideas that drive computer vision. Explore how this technology strives to enable computers to perceive and interpret the world akin to human understanding.
  • Essentials of Computer Vision: Master the core principles of computer vision, including image acquisition, processing, analysis, and interpretation. Develop a solid foundation that forms the basis of various computer vision applications.
  • Identification of Application Fields: Explore real-world applications of computer vision, discovering its role in diverse fields such as healthcare, automotive, security, and more. Understand how this technology is transforming industries and solving complex problems.
  • Workflow of Digital Imaging: Delve into the workflow of digital imaging, unraveling the steps involved in translating visual data into meaningful and actionable insights. Acquire practical knowledge that can be applied to real-world scenarios.
  • Career Opportunities: Build confidence in your understanding of computer vision and open up a wide array of career opportunities. Whether you are a beginner or an experienced professional, this course will enhance your skills and broaden your career prospects.

Embark on this transformative journey through the world of computer vision. Join us and unlock the potential to see and understand the digital world through the lens of artificial intelligence.

What will i learn?

  • Image formation
  • Anaconda and Open CV
  • Image processing with Open CV and Python
  • Image transformation and Morphological operations
  • Edge and Corner detection
  • High Transformation
  • Image segmentation and image clustering
  • Object detection, tracking, and image classification


  • Basic understanding of Python
  • Basic understanding of AI
  • A laptop/computer with active internet connection

Frequently asked question

This course is ideal for learners who need a refresher on computer vision's fundamental ideas or those seeking a brief introduction to its capabilities. Whether you're a beginner or an experienced professional, this course provides valuable insights.

By completing this course, you'll gain a solid understanding of computer vision, unlocking a wide range of career opportunities. You'll be equipped to identify application fields, comprehend digital imaging workflows, and confidently navigate challenges in this rapidly evolving field.

While some familiarity with coding may be helpful, the course is designed to be accessible to individuals with varying levels of coding experience. It provides a foundational understanding of computer vision concepts without requiring advanced programming skills.

Dr. Mayuri AVR

Dr. AVR Mayuri is currently working as Senior Assistant Professor (Grade 2) in School of Computing Science Engineering in VIT Bhopal University. She has obtained her doctorate degree from Mewar University, Chittorgarh in the year 2016. She has done her Masters in Computer Science and Engineering from JNTU Hyderabad and Bachelor's degree in Computer Science and Engineering from Madurai Kamaraj Univerisity in the year 2010 and 2002 respectively. In the year 2018, she has successfully completed and certified for “IUCEE International Engineering Educator Certification Program” which is focusing on improving Engineering Education. She has served in different reputed academic institutes for more than 20 years. She has nearly 12 years of research experience. She has 3 Patents and 23 Publications in Journals (indexing with SCI, WoS, Scopus) and various Int./National, IEEE Conferences. Apart from academics, she also headed various administrative positions like Head of the Department, NBA coordinator, Research Coordinator and various institute level committees. Her area of research interests includes Artificial intelligence, Machine Learning, Data Analytics, Data Mining, Computer Networks and IoT.





Skill level


Expiry period




Related courses