AgentCon San Francisco: Call for Speakers

⌖ San Francisco · Palace of Fine Arts

Hosted by Vercel

Vercel Ship 26 brings developers and AI builders to San Francisco on 15 October 2026 for practical insight into building, deploying and scaling agents. Hosted by Vercel at the Palace of Fine Arts, this flagship developer conference focuses on what teams need to ship the next generation of AI-powered software. Attendees can expect talks from the people creating the platforms, infrastructure and developer tools behind modern applications, with an emphasis on taking agents from an initial build through deployment and reliable operation at scale. Featured speakers The announced programme brings together Vercel’s technical and product leadership with founders building influential developer platforms: - Guillermo Rauch, Founder and CEO of Vercel - Han Wang, CEO of Mintlify - Paul Klein IV, Founder and CEO of Browserbase - Tom Occhino, Chief Product Officer at Vercel - Malte Ubl, Chief Technology Officer at Vercel - Andrew Qu, Software Engineer in Vercel’s Office of the CTO The full agenda has not yet been published. However, the event’s stated theme,“Build, deploy, and scale agents”,makes it especially relevant to software engineers, AI agent builders, technical founders, product leaders and platform teams working on production AI applications. Whether you are exploring agent architecture or already operating AI systems, Ship offers direct access to perspectives from the teams shaping web development and AI infrastructure. A major gathering for the developer ecosystem Ship’s previous speaker roster has included leaders from Anthropic, OpenAI, Databricks, AWS and Durable, reflecting the breadth of engineering and product expertise associated with the conference. The 2026 event is supported by a strong partner line-up. Stripe is the diamond partner, while Browserbase and Supabase are platinum partners. Their involvement places payments, browser infrastructure and backend development alongside the central discussion about deploying scalable agent-based products.… Register for this event

Vercel

Sponsors: Stripe · Browserbase +3

⌖ San Francisco

Hosted by Daytona

Explore practical AI engineering and long-running agent infrastructure at this free Daytona and Oracle evening event in San Francisco. Taking place on Tuesday 20 October 2026, from 5:30pm to 8:00pm PDT, AI Builders brings together people developing AI products, researching algorithms and following the latest advances in artificial intelligence. The programme combines a focused series of technical talks with an extended networking session, creating space to learn how agent systems are evolving and exchange ideas with other builders. Forkable sandboxes for AI agents After opening remarks from Marijan Cipcic, Principal Events Manager at Daytona, Muhammad Annas Hashmi, DevRel at Daytona, will present “Forkable Sandboxes for Long-Running Agents.” The session addresses a growing challenge in AI engineering: agents now install dependencies, edit files, run tests, launch servers and debug across long sessions, yet many systems still treat every run as a disposable prompt-and-response loop. That approach becomes limiting when essential context lives in the machine itself rather than solely in the model’s token history. Hashmi will demonstrate how forkable Daytona sandboxes can help builders: - Pause an agent run at significant moments - Branch an environment from an existing machine state - Sample and compare multiple continuations - Inspect, recover and optimise long-running workflows - Build a more reliable runtime layer for software-building agents Talks, discussion and networking The agenda includes several additional short talks between 5:50pm and 6:50pm. Their speakers and subjects are still to be announced, making this a developing programme centred on AI engineering and current technical practice. From 6:50pm to 8:00pm, the format shifts to networking over pizza and beverages.… Register for this event

Sponsors: Oracle

⌖ San Francisco · Hyatt Regency Burlingame

Hosted by Open Data Science Conference (ODSC)

Learn to build production-ready AI systems in just seven weeks with the AI Engineering Accelerator bootcamp, a hands-on training program that bridges the gap between using AI and building it. Running from June 9 through October 29, 2026, this intensive program combines virtual instruction with a multi-day in-person capstone at the Hyatt Regency Burlingame during ODSC AI West 2026. Designed for professionals ready to move beyond tutorials, the Accelerator provides comprehensive training in the core disciplines of modern AI engineering: large language models (LLMs), agentic AI systems, and production deployment. You'll gain practical experience with the latest tools and frameworks used by leading AI teams, learning not just how to use AI, but how to architect, build, and ship AI-powered applications. Program Structure The bootcamp follows a hybrid learning model that maximizes flexibility while ensuring hands-on engagement. Starting with the Summer Cohort on June 9, you'll participate in virtual training sessions led by experienced AI practitioners. The program culminates in an intensive in-person segment from October 27-29, 2026 at the Hyatt Regency in Burlingame, California, integrated with the main ODSC AI West conference. This dual-format approach allows you to build foundational knowledge remotely while maintaining your current work commitments, then apply those skills in collaborative, hands-on projects during the in-person sessions. You'll also gain full access to ODSC AI West's conference tracks, expo, and networking events. What You'll Learn The curriculum focuses on production-grade AI engineering, covering: - LLM development and deployment — Fine-tuning, prompt engineering, and optimization techniques - Agentic AI systems — Building autonomous agents and workflow automation - AI Engineering fundamentals — MLOps, model serving, monitoring, and scaling - Real-world implementation — Moving from prototype to production with confidence Organized by Open Data Science Conference, which has spent 11 years training thousands of AI engineers and data scientists, the Accelerator draws on ODSC's deep expertise in practical AI education. The program features specialization tracks tailored to different AI engineering domains, allowing you to focus on the areas most relevant to your career goals. Who Should Attend This bootcamp is designed for professionals who already work with AI tools and are rea

⌖ San Francisco · Silicon Valley AI Hub

Hosted by Voxel51

Build an end-to-end physical AI workflow in Menlo Park on 27 October 2026, using real robotics data, FiftyOne and a live fine-tuned YOLO11n detector. Co-presented by Voxel51 and Nebius, this three-hour, in-person meetup combines expert lightning talks, informal networking and a technical workshop at Silicon Valley AI Hub. The focus is practical: turning raw robot logs into curated training data, producing labels, training a computer vision model and reviewing its predictions in the original multimodal recording. What you’ll do The workshop uses DROID, a real-world robotics dataset loaded into FiftyOne as a native multimodal MCAP recording. Attendees will work with synchronised camera feeds, proprioception and language data on one timeline, with no ROS installation required. During the session, you’ll: - Explore a DROID robotics recording in FiftyOne’s multimodal MCAP viewer - Extract and browse frames, then filter and deduplicate the dataset - Compute embeddings and investigate the curated frames through similarity search and embeddings visualisation - Use open-vocabulary detection to auto-label the robot gripper and target objects - Fine-tune a YOLO11n detector on the generated bounding boxes - Evaluate the resulting model and view its predictions on the original MCAP timeline Embeddings and model training will run through Nebius Serverless AI Jobs. The evening closes with a walkthrough of Nebius Token Factory, including chat and vision models, fine-tuning and credits. You can also explore the FiftyOne documentation before attending. Evening format - 5:30–6:30 PM: Networking, food, drinks and lightning talks from local practitioners working across AI, machine learning and computer vision - 6:30–7:30 PM: From raw robot logs to a curated dataset, including multimodal exploration, frame extraction, deduplication and embeddings - 7:30–8:00 PM: Auto-labelling, live YOLO11n fine-tuning and model evaluation - 8:00–8:30 PM: Nebius Token Factory walkthrough This is a technical, hands-on event for people interested in robotics datasets, computer vision, machine learning and physical AI. It offers an opportunity to follow a complete model-development loop while meeting others working in the Silicon Valley AI community. Before you attend… Register for this event

Sponsors: Nebius

⌖ San Francisco · Antler San Francisco (3rd Floor)

Hosted by Voxel51

Explore how Physical AI systems turn robotics, sensor and vision data into real-world applications at this practical workshop and meetup in San Francisco. Co-presented by Nebius and Voxel51, this three-hour, in-person event combines short community talks with a hands-on introduction to building Physical AI applications using FiftyOne. It takes place on Wednesday, 28 October 2026, from 5:30pm to 8:30pm PDT at Antler San Francisco, 3rd Floor, 144 Townsend Street. What to expect The evening begins in a meetup format, with lightning talks from local speakers working across artificial intelligence, machine learning and computer vision. These concise sessions offer a look at the ideas and technical challenges shaping Physical AI before the programme moves into a practical workshop. During the hands-on portion, attendees will work with FiftyOne and explore key parts of the Physical AI development workflow, including: - Curating robotics and sensor datasets - Working with visual data captured in real-world environments - Evaluating computer vision models on real-world data - Building Physical AI applications with FiftyOne Bring a laptop if you want to follow along with the workshop. The blend of lightning talks and guided building makes this especially relevant to AI and machine learning practitioners, computer vision specialists, robotics teams, researchers and technical builders interested in data-centric development. No specific experience level is stated, but the workshop’s practical focus will be most useful to attendees who want direct exposure to Physical AI tools and workflows. Workshop access requirements A company, university or government email address is required to access the hands-on workshop environment. Personal or disposable accounts, including Gmail, Yahoo, Outlook and similar services, cannot be used. According to the organisers, this platform-wide policy supports fraud prevention, abuse controls and compliance requirements. Anyone who needs an exception should contact the hosts before attending.… Register for this event

Sponsors: Nebius

⌖ Manchester · Manchester, United Kingdom

Hosted by Institution of Mechanical Engineers

Transform your engineering practice with hands-on AI training designed specifically for technical professionals. This comprehensive two-day course from the Institution of Mechanical Engineers equips engineers with practical knowledge of artificial intelligence principles and demonstrates how to integrate AI into real-world engineering workflows—no prior AI experience required. What You'll Learn Over two intensive days, you'll move beyond AI theory to practical application. The programme covers foundational AI concepts tailored to engineering contexts, explores machine learning techniques relevant to mechanical systems, and provides hands-on experience with no-code AI tools that let you build solutions without programming expertise. Whether you're working in design, manufacturing, maintenance, or project management, you'll discover how AI can streamline your processes and enhance decision-making. The training emphasizes accessible implementation through platforms like Bubble, Glide, and other no-code tools that democratize AI development. You'll learn to automate repetitive engineering tasks, analyze complex datasets, and create intelligent workflows using tools like Make and Zapier. The course also covers integration with platforms like Airtable and Notion to build data-driven engineering solutions. Who Should Attend This course targets practicing engineers across all disciplines—mechanical, civil, electrical, and beyond—who want to leverage AI in their work. Whether you're a junior engineer exploring emerging technologies or a senior professional seeking to modernize your team's capabilities, the training adapts to multiple experience levels. No coding background is necessary, making it ideal for engineers who want to implement AI solutions without becoming software developers. Course Format The in-person Manchester session runs across two full days (1-2 October 2026), combining instructor-led presentations with practical exercises. You'll work through case studies drawn from real engineering projects, collaborate with fellow attendees on group challenges, and receive expert guidance from experienced practitioners who understand engineering workflows. The Institution of Mechanical Engineers has designed this programme to provide immediately applicable skills you can bring back to your workplace. Early bird pricing offers a 10% discount, re