Deep Learning Specialization
Self-paced
Yes
Basic Python, ML basics
Andrew Ng’s 5-course follow-up to the ML Spec — neural networks, CNNs, RNNs, attention, sequence-to-sequence. The bridge from classical ML to modern AI.
What you will learn:
- Neural network fundamentals
- Convolutional networks for vision
- Sequence models and attention
- Practical hyperparameter tuning
Who it is for: Anyone who completed the ML Spec and wants to work on modern AI (NLP, vision, LLMs).
Honest take: The canonical deep learning curriculum. Pair with fast.ai for the practitioner-first complement.