Dates: 18th September to 22th September 2023, Every Day 09.00 – 13.00
Day 1: Classical Machine Learning
| 09:00 – 09:30 | Introduction to Machine Learning |
| 09:30 – 10:15 | Lecture – Supervised Learning Techniques |
| 10:15 – 11:15 | Hands-On Practical |
| 11:15 – 11:45 | Break |
| 11:45 – 13:00 | Lecture – Unsupervised Learning Techniques |
Day 2: : Neural Networks and Convolutional Neural Networks
| 09:00 – 09:45 | Lecture – Neural Networks |
| 09:45 – 10:45 | Hands-On Practical |
| 10:45 – 11:15 | Break |
| 11:15 – 12:00 | Convolutional Neural Networks |
| 12:00 – 13:00 | Hands-On Practical |
Day 3: Generative Models
| 09:00 – 09:30 | Introduction to Generative Models |
| 09:30 – 10:00 | Autoencoders |
| 10:00 – 10:30 | Hands-On Practical |
| 10:30 – 11:15 | Break |
| 11:15 – 12:15 | Variational Autoencoders & Generative Adversarial Networks |
| 12:15 – 13:00 | Hands-On Practical |
Day 4: Advanced Topics
| 09:00 – 09:30 | Long Short-Term Memory Networks |
| 09:30 – 10:30 | Hands-On Practical |
| 10:30 – 10:45 | Transformers & Large Language Models |
| 10:45 – 11:15 | Break |
| 11:15 – 11:45 | Lecture – Generative Adversarial Networks (GANs) |
| 11:45 – 12:00 | Reinforcement Learning |
| 12:00 – 13:00 | Debugging and Exploring ML Solutions |
Day 5: Using Large-scale Resources
| 09:00 – 09:45 | Using Large-Scale Resources & Cloud |
| 09:45 – 10:30 | Hands-On Practical |
| 10:30 – 11:00 | Break |
| 11:00 – 12:00 | Discussions and Closure |
Helping you prepare for the future
