1st day – Monday, 23 November 2026
| 08:45 | Join in |
| 09:00 | Welcome and introduction |
| 09:20 | Concepts of a neural network: weights & biases, activation functions, loss functions, optimisers, backpropagation |
| 10:30 | Break |
| 10:45 | Introduction to TensorFlow |
| 11:15 | Hands-on example |
| 11:45 | Data preparation, metrics and evaluation |
| 12:30 | Lunch break |
| 13:30 | Hyperparameters |
| 14:00 | Hands-on example |
| 14:30 | Break |
| 14:45 | CNNs |
| 15:15 | Hands-on example |
| 15:45 | Established architectures for computer vision |
| 16:00 | End of first day |
2nd day – Tuesday, 24 November 2026
| 08:45 | Join in |
| 09:00 | Quiz & summary of day 1 |
| 09:30 | Hands-on example |
| 10:00 | Transfer learning |
| 10:30 | Break |
| 10:45 | Hands-on example |
| 11:30 | RNNs |
| 12:00 | Hands-on example |
| 12:30 | Lunch break |
| 13:30 | LSTMs |
| 14:00 | Hands-on example |
| 14:30 | LLMs |
| 14:45 | Break |
| 15:00 | Multi-GPU with Horovod |
| 15:30 | Hands-on example or demo |
| 16:00 | End of second day (course) |