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OxML 2025

Jun5

Oxford Machine Learning Summer School
oxfordml.school/2025-genai

When:
Where:London School of Economics (LSE) & Online

AI for Global Goals is the driving force behind OxML, the world’s largest advanced AI bootcamp. Our mission is to empower AI professionals globally, equipping them with cutting-edge knowledge in machine learning and its application to real-world challenges, including the Sustainable Development Goals (SDGs).

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Since 2020, we have:

  • Trained 5,000+ AI professionals from over 100 countries.
  • Achieved 40% female representation and 50% representation from underrepresented groups.

2025 OxML Summer School: Generative AI Focus

This year’s program will emphasize Generative AI, covering both theoretical advancements and practical applications in areas such as vision, language, and multi-modal data. It’s designed for participants seeking to develop skills in:

  • Advanced Representation Learning: Vision, language, and multi-modal data techniques.
  • Agentic AI: Reasoning, design patterns, and agent behavior.
  • Human+AI Alignment: Ensuring ethical and effective AI collaboration.
  • Generative AI Product Development: From model optimization to market fit.
  • Frontier Model Applications: Domains include medicine, finance, and education.

Key Features

Lectures by Leading Experts: Delivered by top researchers from academia and industry.

Two Lecture Formats:

  • 90-120 minutes: Deep dives into generative AI fundamentals and agentic AI research.
  • 30-45 minutes: Applied generative AI and product development.
  • Interactive Q&A Sessions: TA-supported, ensuring an engaging learning experience.
  • For Technical Audiences: Ideal for researchers, engineers, and product developers.

Why Attend?

  • Gain hands-on expertise in Generative AI and its cutting-edge applications.
  • Network with global leaders in machine learning and AI innovation.
  • Collaborate in Q&A sessions and interactive workshops with TAs.
  • Learn to develop real-world AI products using state-of-the-art tools.

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