Intermediate Certificate
Deep Learning Specialization
Dive deep into modern deep learning techniques. This specialization covers everything from neural network architectures to cutting-edge research in transformers, generative models, and self-supervised learning. Includes hands-on projects with real-world datasets.
4.8(1,892 reviews)
12,891 students60 hoursUpdated February 2026Prof. Michael Torres
Professor of AI at MIT
Free
Full access to all content
Duration60 hours
Lessons180
LevelIntermediate
LanguageEnglish
CertificateIncluded
What You'll Learn
Design and train deep neural networks
Implement CNN architectures from scratch
Master sequence models and attention mechanisms
Build generative adversarial networks (GANs)
Understand and implement transformers
Apply deep learning to computer vision and NLP
Requirements
- Python programming proficiency
- Basic ML knowledge
- Linear algebra and calculus
- Experience with NumPy
Course Curriculum
Perceptrons and MLPsFREE
1:30:00Activation FunctionsFREE
45:00Backpropagation Algorithm
2:00:00Optimization Techniques
1:45:00Instructor
Prof. Michael Torres
Professor of AI at MIT
Prof. Michael Torres is a leading AI researcher and Professor at MIT. His work on neural network architectures has been cited over 50,000 times. He brings decades of research and teaching experience to make complex concepts accessible.