
MLcon San Diego brings together machine learning engineers, AI developers, and technology leaders for an intensive exploration of artificial intelligence and machine learning innovations. This comprehensive event spans multiple days with workshops, bootcamps, conference sessions, and networking opportunities designed for professionals working with generative AI, LLMs, and advanced ML systems.
The conference focuses on practical, hands-on learning experiences that bridge the gap between theoretical concepts and real-world implementation. Participants can choose from specialized tracks covering ML & Deep Learning, AI Strategy & Governance, AI Developer Tools, MLOps & LLMOps, and Generative AI & Agents. Each track addresses current industry challenges and emerging technologies that are reshaping how organizations build and deploy intelligent systems.
A standout feature is the 2-Day GenAI Bootcamp, which takes a code-first approach to teaching agentic AI, RAG systems, and tool-driven development patterns. This intensive workshop targets engineers who want to move beyond prototyping to create production-ready AI applications. The curriculum emphasizes structured outputs, multi-step pipelines, and proven patterns that work across different technology stacks including Java, .NET, and cloud platforms.
The speaker lineup includes industry practitioners and thought leaders who share insights from building real AI systems at scale. Sessions cover everything from model fine-tuning and multimodal AI applications to browser-based machine learning and evaluation frameworks. Workshop offerings range from AI product strategy to platform engineering, with options for both beginners and advanced practitioners.
Attendees can participate either in-person at the Hyatt Regency La Jolla or through the online platform, making the event accessible to a global audience. The conference also includes an expo component, networking opportunities, and access to a year-long membership platform with ongoing learning resources and session recordings.