Learning area
Deep Learning & Modern AI
Build from neural-network foundations through computer vision and transformers to grounded generative-AI systems.
Prerequisites
Start after Python fundamentals and linear algebra and supervised learning.
What this path covers
- Neural-network foundations
- Computer vision
- Natural-language processing and transformers
- Generative-AI systems and a local retrieval project
Lessons are published in source-reviewed batches with deterministic, local exercises. No hosted account is required.
Start with tensors, gradients, and autodiff