Deep Learning Specialization

This flagship specialization by Andrew Ng takes you from neural network basics to advanced deep learning architectures. Across five courses, you’ll build and train deep neural networks, learn optimization strategies, and implement real-world AI projects.

What You’ll Learn

• Build and train deep neural networks from scratch
• Implement CNNs for image recognition and object detection
• Use RNNs and LSTMs for sequence modeling and NLP
• Apply optimization techniques (Adam, batch norm, dropout)
• Structure machine learning projects and debug ML systems
• Implement attention mechanisms and transformer foundations

Who This Is For

Developers and data scientists who have basic ML knowledge and want to master deep learning. Python programming experience and basic linear algebra are recommended. This specialization is the gateway to advanced AI research and engineering roles.