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Join us for an immersive week-long summer school focused on the cutting-edge advancements and practical applications of deep learning and AI. This program is designed for enthusiasts and professionals with a strong foundation in programming, specifically those familiar with Python and modern development environments. Each day is structured to provide a comprehensive blend of theoretical foundations, practical insights, and hands-on experiences, utilizing Python, PyTorch, and VSCode.

Participants will have the opportunity to learn from leading experts, engage in thought-provoking discussions, and explore the latest trends and challenges in the field. The program kicks off with a 鈥淒eep Learning Jump Start,鈥� introducing the basics of neural networks and essential optimization techniques. As the week progresses, participants will delve into practical issues with real-world data, including data augmentation, diagnostics, and troubleshooting. Advanced models like transformers and large language models will be explored in depth, along with a dedicated day to visual AI, covering diffusion models and advanced generative techniques. We conclude with critical aspects of AI ethics, including privacy, fairness, transparency, and model robustness. This summer school promises a rich learning experience, combining theoretical knowledge with practical applications, ensuring participants are well-equipped to tackle contemporary challenges in AI.

New this year, we鈥檙e introducing an AI Workshop Track that runs in parallel with the main lecture series, turning Stevenson Hall into a studio for discovery. Guided by experienced AI coaches鈥攕cholars who build and deploy deep-learning systems every day鈥攖hese sessions replace slides with keyboards, pairing brief concept primers with coding labs, model-building sprints, and code reviews. You鈥檒l iterate through mini-projects that sharpen core skills like data wrangling in pandas, custom layer design in PyTorch, prompt engineering for LLMs, and deployment tips for VSCode + Docker, all while receiving real-time feedback tailored to your current level. Whether you鈥檙e eager to solidify fundamentals or push into advanced experimentation, the AI Workshop Track provides a collaborative sandbox where ideas migrate from whiteboard to working prototype before day鈥檚 end鈥攅nsuring you leave not just inspired, but armed with reproducible notebooks and a toolkit you can drop directly into your own research or product pipeline.

What: AI Summer School / 2025

Where: Stevenson Hall on Vanderbilt鈥檚 Campus.听

• Main Hall: Stevenson 4309
• AI Workshop Track: Stevenson 4327

When: August 11-14, 2025 / 9 am 鈥� 4:30 pm听

Coffee & Food: Of course!听