AutoML School 2026: Everything You Need to Know

What Is AutoML School 2026?

AutoML School 2026 is a five-day summer school hosted by the Lamarr Institute for Machine Learning and Artificial Intelligence in Dortmund, Germany. Running from July 27 to July 31, 2026, the event is designed to provide a comprehensive educational experience spanning introductory concepts, state-of-the-art research, and practical application lectures in automated machine learning (AutoML) and foundation models.

The school explicitly aims to bridge the gap between cutting-edge research and disseminated knowledge in the field of automated machine learning. As AutoML continues to mature from a niche research area into a critical component of production AI systems, the need for structured, accessible education has become pressing. AutoML School 2026 addresses this by offering a curriculum that moves from fundamentals to frontier topics, ensuring participants leave with both theoretical grounding and awareness of current research directions.

Organized by the Lamarr Institute—a leading German AI research consortium—the event reflects the institute’s mission to advance AI research while fostering knowledge transfer to industry and academia. The choice of Dortmund as the venue places the school in the heart of Germany’s Ruhr region, an area with a growing concentration of AI research and industrial application.

Why It Matters for AI Professionals

For AI professionals, AutoML School 2026 represents a rare opportunity to receive structured, expert-led instruction in one of the most rapidly evolving subfields of machine learning. Automated machine learning has moved beyond simple hyperparameter tuning to encompass neural architecture search, meta-learning, and automated data preprocessing—capabilities that directly impact model development efficiency and deployment success.

Attendees will gain exposure to the latest developments in foundation models, a topic of intense interest given the rise of large language models and multimodal systems. Understanding how AutoML techniques apply to foundation model selection, fine-tuning, and adaptation is becoming essential for practitioners who need to operationalize these powerful but resource-intensive models. The school’s focus on bridging research and practice means participants can expect actionable insights rather than purely theoretical content.

What to Expect

AutoML School 2026 is structured as a multi-day educational program with a clear progression from introductory material to advanced topics. Key themes and anticipated content areas include:

• Introductory lectures covering the fundamentals of automated machine learning, including core algorithms, evaluation methodologies, and common workflows
• State-of-the-art research sessions exploring recent advances in neural architecture search, hyperparameter optimization, and meta-learning
• Foundation model lectures addressing how AutoML principles apply to large-scale pretrained models, including selection, adaptation, and efficient fine-tuning strategies
• Application-focused talks demonstrating real-world deployments of AutoML in domains such as computer vision, natural language processing, and tabular data analysis
• Hands-on components likely including practical exercises or tutorials (specific format details to be announced)

Notable speakers and detailed session schedules have not yet been published. Prospective attendees should monitor the official event website for updates as the program is finalized.

Who Should Attend

AutoML School 2026 targets a broad audience of AI professionals, researchers, and advanced students. The curriculum’s tiered structure—spanning introductory through state-of-the-art content—makes it suitable for:

• Machine learning engineers and data scientists seeking to incorporate AutoML tools and techniques into their workflows
• AI researchers interested in the latest developments in automated machine learning and foundation model research
• PhD students and postdoctoral researchers looking to deepen their understanding of AutoML theory and practice
• Technical leads and engineering managers evaluating AutoML solutions for their organizations
• Industry practitioners working with foundation models who need to understand automation strategies for model selection and deployment

The school is designed to accommodate participants with varying levels of prior AutoML knowledge, though a general background in machine learning fundamentals is recommended.

How to Register

Registration for AutoML School 2026 is managed through the Lamarr Institute’s events platform. Interested participants should visit the official event website at https://events.lamarr-institute.org/event/271/ for the most current information. Pricing details, application deadlines, and any prerequisites for attendance are to be announced. Given the specialized nature of the school and the likely high demand for places, early registration is recommended once details become available.