United States
United States
The Master in Computer Vision (MCV) course is designed to provide students with comprehensive knowledge of the fundamentals and techniques in computer vision. It covers a range of topics from image processing and object recognition to deep learning, 3D reconstruction and autonomous navigation. The course prepares students to develop algorithms for real-world applications, such as autonomous cars and robots, self-driving vehicles, biometric identification, medical diagnostics and object tracking. Additionally, the curriculum provides an excellent foundation for those interested in pursuing a research career in computer vision.
This course can be used by professionals working in the industry or in academia who wish to gain a deeper understanding of the fundamentals of computer vision and its applications in the modern world. It can also be used as a comprehensive introduction to computer vision for beginner students who lack previous experience in the field. The course can be used to enhance existing skills and knowledge, or to gain the necessary understanding to move on to more advanced topics.
Get 1-on-1 session with our expert trainers at a date & time of your convenience.
Flexible Dates
Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
4-Hour Sessions
Training never been so convenient- attend training sessions 4-hour long for easy learning.
Destination Training
Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.| Live Online Training (Duration : 40 Hours) | |||
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1. Bachelor's Degree in Computer Science, Mathematics, Electrical Engineering or related field
2. Knowledge of linear algebra, calculus, and probability theory
3. Proficiency in C++, Python and/or MATLAB
4. Familiarity with key computer vision topics, such as image processing, 3-D Vision and object recognition
5. Prior experience with a Machine Learning library/Framework (e.g. TensorFlow, PyTorch, Scikit-learn, Caffe)
6. Knowledge of Computer Vision algorithms (e.g. SIFT, SURF and PCA)
7. Experience with deep learning and related topics such as artificial neural networks
8. Understanding of the theory and practice of Statistical Machine Learning
The target audience for a training program focused on Master in Computer Vision would be professionals in the field of computer vision and machine learning who are looking to improve their skills and knowledge
This could include software engineers, data scientists, AI researchers, IT professionals, and other technical professionals
The program would also be beneficial for those who have already obtained a degree in computer vision and are looking to implement more advanced concepts in the field
It can also be useful for those who are far removed from the field and are looking to learn the fundamentals and build a strong foundational understanding
Additionally, this program may be beneficial to university students who are looking to refresh their knowledge and gain additional expertise
The program is designed for professionals of all levels and expertise
The Master in Computer Vision Training aims to provide learners with a comprehensive understanding of the fundamentals of computer vision. Objectives of the training include:
Upon successful completion of the program, students should be well-versed in building and deploying computer vision solutions for real-world problems.
