Master computer vision skills for real-world applications using MATLAB. Learn image processing, object detection, and deep learning.
Master computer vision skills for real-world applications using MATLAB. Learn image processing, object detection, and deep learning.
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 MathWorks Computer Vision Engineer Professional Certificate 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.
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What you'll learn
Extract and analyze information from various image types
Implement object detection and tracking in videos
Develop deep learning models for computer vision tasks
Apply image segmentation and processing techniques
Create automated image analysis workflows
Deploy computer vision solutions using industry-standard tools
Skills you'll gain
This course includes:
80 Hours PreRecorded video
Multiple course assessments and hands-on projects
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
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There are 9 courses in this program
Public Health in Humanitarian Crises 1
Course 1 · 16 Hours to complete · 10 modules
Chatbots
Course 2 · 13 Hours to complete · 4 modules
Advanced Malware and Network Anomaly Detection
Course 3 · 11 Hours to complete · 4 modules
Online education: The foundations of online teaching
Course 4 · 20 Hours to complete · 5 modules
Commodity and Currency Hedging
Course 5 · 2 Hours to complete · 6 modules
Create video, audio and infographics for online learning
Course 6 · 19 Hours to complete · 5 modules
Supplier Partnerships
Course 7 · 2 Hours to complete · 5 modules
Digital Business - Understand the digital world
Course 8 · 11 Hours to complete · 3 modules
Making Your First Virtual Reality Game
Course 9 · 27 Hours to complete · 6 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked questions
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