Hands-on workshop in San Francisco on building coding agents that fix bugs using Agno, xpander.ai, and Amazon Bedrock. Learn agent architectures, integrations, and debugging workflows for practical coding-agent development.
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
Big Data Conference Europe returns for its 10th edition, bringing together 700+ developers, data engineers, and AI professionals from 35+ countries for four intensive days of technical learning and hands-on experience. Taking place in Vilnius, Lithuania from November 24–27, 2026, this hybrid conference offers both onsite and online attendance options, making it accessible to a global audience. What to Expect The conference opens with a full day of hands-on workshops on November 24, followed by three days of technical talks across four specialized tracks. With 60+ sessions covering the latest developments in AI, data engineering, machine learning, and cloud technologies, this is a focused technical event designed for practitioners who build and deploy data systems at scale. The 2026 edition focuses on production-ready solutions rather than demos and proofs-of-concept. Expect deep technical content on: Data Engineering, Pipelines & DataOps - Advanced RAG architectures and implementation patterns - Agentic workflows and orchestration frameworks - LLM fine-tuning strategies versus prompt engineering - Evaluation and benchmarking methodologies for LLM systems - Observability and monitoring for GenAI pipelines Real-Time Data & Streaming Architectures - Production implementations with Kafka, Flink, and Spark Structured Streaming - Event-driven architecture patterns - Real-time feature engineering at scale - Streaming ML inference pipelines - Low-latency analytics architectures Who Should Attend This conference is designed for technical practitioners: data engineers, ML engineers, data scientists, software architects, and developers working with large-scale data systems. Whether you're building real-time streaming pipelines, deploying GenAI applications, or managing complex data infrastructure, you'll find practical insights from peers solving similar challenges. Conference Format The event features a cinema-style venue with comfortable seating, excellent acoustics, and large screens ensuring every technical detail is clearly visible. The hybrid format means remote attendees get the same access to talks and Q&A sessions as those attending in person. Beyond the formal sessions, the conference includes interactive elements, networking opportunities, and the chance to connect with industry experts from across Europe and beyond. The organizers emphasize practical, experience-driven content. Speakers are practitioners sharing real-world imple
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
