Current
Intermediate
40% Off
Deep Learning Specialization
Coursera · DeepLearning.AI · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
3 months at 10 hours a week
Classes
35
Five-course specialization on deep learning architectures including CNNs, RNNs, and transformers, with practical projects in TensorFlow.
What you'll get
Build and train deep neural networks
Apply optimization and regularization techniques
Implement CNNs for vision tasks
Use RNNs and transformers for NLP
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Intermediate; recommended ML experience
Pricing
Subscription (Coursera)
Certification
Certificate
Growth Leverage: Completing this Deep Learning Specialization can open doors to roles such as Machine Learning Engineer, Data Scientist, or AI Researcher, and enhance your profile for advanced certifications like TensorFlow Developer or Professional Data Scientist.
Skills Value: With expertise in CNNs, RNNs, and transformers, you can tackle high-demand projects in image recognition and NLP, contributing to solutions that command salaries averaging $120,000 to $150,000, reflecting the lucrative market demand for these skills.
Deep Learning
Neural Networks
Computer Vision
NLP