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Intermediate
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Convolutional Neural Networks
Coursera · Coursera Project Network · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
5 weeks, 4 hours/week
Classes
38
Master convolutional neural networks for image processing and computer vision tasks. Learn CNN architecture, convolution operations, pooling, and application to real-world problems. Explore pre-trained models and transfer learning techniques.
What you'll get
Understand convolutional neural network architecture
Build CNNs for image classification tasks
Apply transfer learning with pre-trained models
Implement advanced CNN techniques for computer vision
Fit
Best for
Leaders
Analysts
Researchers
Decision-makers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python programming, basic neural network knowledge
Pricing
Free to audit, $49 for certificate
Certification
Certificate
Growth Leverage: Completing this Convolutional Neural Networks course qualifies you for roles such as Computer Vision Engineer or Machine Learning Specialist, opening doors to positions at tech giants like Google or Amazon and potential certifications in TensorFlow or PyTorch focused on deep learning.
Skills Value: The skills acquired can command salaries ranging from $90,000 to $150,000, as employers seek expertise in building efficient image classification systems and implementing transfer learning, which are vital for projects involving autonomous vehicles, facial recognition, and medical image analysis.
CNN
computer-vision
image-classification
deep-learning
neural-networks