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Advanced Deep Learning Techniques for Computer Vision
This course is part of MathWorks Computer Vision Engineer Professional Certificate.
Course Cost
Free course
Beginner
Skill Level
5 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Deep Learning for Computer Vision Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
What you'll learn
Train and optimize anomaly detection models
Generate synthetic training data using augmentation
Implement AI-assisted auto-labeling workflows
Deploy models and integrate with external platforms
Skills you'll gain
This course includes:
0.7 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 4 modules in this course
This advanced course focuses on specialized techniques in computer vision using deep learning. Students learn to train anomaly detection models for visual inspection and medical imaging, generate synthetic training data through augmentation, and implement AI-assisted labeling for efficient image annotation. The curriculum covers model deployment, third-party integration with platforms like PyTorch, and practical applications in industrial and medical domains.
Anomaly Detection
Module 1 · 2 Hours to complete
Data Augmentation
Module 2 · 1 Hours to complete
Model-Assisted Labeling
Module 3 · 1 Hours to complete
Creating Your Own Models
Module 4 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: MathWorks Computer Vision Engineer Professional Certificate
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Faculties
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.