Join us for an immersive learning experience designed by CCDS-GSC, IGP-GSC, MSE-GSC, SPMS-GSC, MAE-GSC, EEE-GSC and GSA to deepen your understanding of Deep Learning. Our bootcamp consists of five in-depth sessions covering essential topics and practical applications across different schools so that you can apply the concepts you learn to your research data. It is suitable to anyone with basic programming skills.

Bootcamp Sessions

1. Deep Learning Essentials

This first session will cover the fundamentals of Python, focusing on key libraries essential for Deep Learning, such as NumPy, SciPy, Pandas, and more. By the end of this session, you’ll have a solid foundation to explore more advanced topics in Deep Learning throughout the series.

2. Deep Learning for Regression and Classification

Dive into the application side of Deep Learning. Learn how to use Deep Learning models for regression and classification tasks, gaining hands-on experience with real-world datasets.

3. Deep Learning for Images

Uncover the secrets of working with image data in Deep Learning. From image recognition to convolutional neural networks (CNNs), this session will equip you with the skills to tackle image-related challenges.

4. Deep Learning for Natural Language

Extend your knowledge to sequential text data. Explore the applications of recurrent neural networks (RNNs), Long Short-Term Memory networks (LSTMs), commonly used Large Language Models (LLMs) and Transformers (GPTs).

5. Deep Reinforcement Learning

Learn about applying Machine Learning while exploring and interacting with the world around us. This session will teach you about Markov Decision Process (MDPs), Agents, Reward functions, Policies and more and how to simulate your own RL-based models.

To support your learning journey, we provide Jupyter notebooks here with scaffold code for each session. Use these resources for hands-on practice during the bootcamp and keep them for future reference.