BUILD is Snowflake’s developer conference focused on building AI-powered apps and data-driven applications. Expect talks, demos, and sessions on AI, integrations, data engineering, and app development. Nov 4–7, 2025 in San Francisco.
Learn how to automate daily life with Grok Bot at this hands-on Toronto meetup on 26 October 2026, featuring talks, Q&A, building and networking. Taking place from 5:30pm to 8:30pm EDT in Toronto, this monthly community event combines practical AI learning with time to meet other builders and work on ideas. Bring your laptop so you can participate in the building session. Dinner and drinks will be provided, and attendees will also have the chance to receive Cursor credits for use with Grok Bot. Agenda - 5:30pm: Mix and mingle - 6:15pm: First speaker - 6:30pm: Second speaker - 6:45pm: Q&A - 7:00pm: Networking and building - 8:30pm: Event ends The two speakers have not yet been named on the event page. The meetup is hosted by Neerav, Jia and Sukh, with support from a local volunteer team. Important: doors close at 6:15pm sharp. Registration requires host approval, and the exact address is revealed to approved attendees; the organiser describes the venue as 800 Bay. Request to join the meetup
This in-person event will explore how AI and predictive analytics are reshaping the future of e-commerce. Experts from Semrush and Euromonitor International will discuss findings from their global study, 'The State of FMCG Ecommerce 2025', focusing on AI and data collaboration in the next era of ecommerce. The agenda includes talks by Fernando Angulo and Rabia Yasmeen, followed by networking opportunities.
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
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
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
