About this course
Explore the deep learning workflow from tensors and training loops to convolutional networks, attention and transformers.
This advanced course is part of the AI & Generative AI school. Work through the curriculum below in a instructor-led / cohort format, with an estimated study time of 25 h.
Course curriculum
- Module 1 — Tensors and Autograd
- Module 2 — Training Neural Networks
- Module 3 — Making Networks Generalise
- Module 4 — Convolutional Neural Networks
- Module 5 — Transfer Learning
- Module 6 — Sequences, Embeddings and Attention
- Module 7 — Transformers
- Module 8 — Experiments and Responsible Deep Learning
Applied learning
- Case Study — Tropica Environmental Agency: deep learning for land and flood monitoring
- Lab 1 — Land-cover classifier from scratch
- Lab 2 — Flood detection with transfer learning
- Lab 3 — Transformer message classifier
- Capstone — Deep Learning Project
Who this course is for
Technology Professional; Data Professional; Engineer / Architect
Prerequisites
NE-AI-106
Course details
- Course code: NE-AI-301
- Level: Advanced
- Estimated duration: 25 h
- Delivery: Instructor-Led / Cohort



