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Intermediate

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Deep Learning for Object Detection

Coursera · MathWorks · Updated March 2026

Platform rating

4.5/5

AI Tutor Rating

8.3/10

Duration

1-4 weeks

Classes

36

Learn deep learning techniques for object detection using MATLAB including CNNs, transfer learning, and model evaluation.

What you'll get

Build object detection and recognition systems

Apply transfer learning to detection tasks

Evaluate object detection model performance

Course Curriculum

8 chapters

Fit

Best for

ML Engineers

Data Scientists

AI Researchers

Deep Learning Practitioners

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic programming

Pricing

Subscription

Certification

Certificate

Growth Leverage: Completing this course positions you for roles such as Machine Learning Engineer, Computer Vision Engineer, or AI Research Scientist, opening doors to advanced positions in tech companies focused on AI solutions and enabling pathway to specialized certifications like TensorFlow Developer certification.

Skills Value: The skills learned can help solve critical challenges in autonomous vehicles, robotics, and security systems, with professionals in these fields earning salaries that can exceed $120,000 annually due to the high demand for expertise in object detection and deep learning.

Object Detection

MATLAB

CNN

Transfer Learning

Computer Vision

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