Overview
MLcon San Diego 2026 is a hybrid event focused on Generative AI and machine learning engineering. It brings together developers, engineers, technical leaders, and other technology professionals for conference sessions, keynotes, practical workshops, and bootcamps. The program emphasizes applying machine learning and AI in real systems, with opportunities to learn from speakers, build practical skills, and connect with other practitioners. Attendees can participate in person or remotely.
The in-person venue is the Hyatt Regency La Jolla at Aventine, at 3777 La Jolla Village Drive, San Diego, California 92122, United States. The hotel is in the La Jolla area. The venue information highlights its coastal setting and nearby shopping, dining, and University of California San Diego, as well as hotel facilities including a pool, tennis courts, cabanas, and fire pits.
Dates and format
The event runs from June 1 to June 5, 2026. The main conference takes place June 2 and 3, with sessions, keynotes, and an expo. Workshop programming is listed for June 1 and June 4, and bootcamps run across June 4 and 5. The page also describes a five-day experience combining conference programming, workshops, and bootcamps. Remote tickets are available alongside on-site tickets, and the event is presented as a hybrid edition.
Program and topics
Conference tracks cover ML and deep learning; Generative AI and agents; MLOps and LLMOps; AI developer tools; and AI strategy and governance. The broader program description also references multimodal AI. Sessions and keynotes are scheduled for the two conference days, while the surrounding days provide hands-on learning.
Listed workshop and bootcamp content includes “LLMs Under the Hood,” an “Evaluating & Improving AI Agents” workshop, and a strategic AI workshop for leaders. Bootcamp offerings include Vibe Coding and GenAI Development, Platform Engineering, and Full-Stack AI Engineering in TypeScript. The schedule also includes a two-day GenAI bootcamp covering agentic AI, retrieval-augmented generation (RAG), tool-driven systems, multi-step workflows, and production-oriented patterns. The page describes this as a practical, code-first format using runnable examples, with material intended to transfer to Java, .NET, and modern cloud stacks.
Who should attend
The event is aimed at developers, engineers, CTOs, and other technology professionals interested in machine learning and Generative AI. Its listed past-participant roles include software developers, architects, consultants, data scientists, analysts, ML engineers, executives, directors, and product owners. The page notes more than 30 speakers and highlights hands-on learning, current technical innovations, and networking with ML practitioners.
Attendance and tickets
Attendees can choose in-person or remote participation. Ticket options include single conference days, workshop days, multi-day passes, and packages combining conference days with bootcamps. Some packages include access to devmio and six months of session recordings; the page also mentions a 10% team discount for purchases of three or more tickets. Program details and ticket choices are available through the event page’s linked program and registration sections.
