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Register for AI in Production 2026 using 30% RSS Members ...

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What to expect

Join Jumping Rivers as they host AI in Production 2026 on 4-5 June 2026 in Newcastle Upon Tyne. This two-day event blends hands-on workshops (Day 1) with a full day of talks and live demonstrations (Day 2). Attendees will work through practical exercises to design, implement, and evaluate AI-enabled production systems, with emphasis on production readiness, monitoring, governance, cost, and risk management. The RSS post promotes the event and provides registration details; a 30% RSS Members discount is available. The event is ideal for developers, data scientists, ML engineers, ops engineers, and product teams who want to move AI from experimentation to reliable production. The RSS is promoting the event, and Jumping Rivers is the host, known for practitioner-led AI training and deployment experience. The venue is in Newcastle Upon Tyne, with times and exact location provided on registration. Expect hands-on labs using realistic datasets, templates for production pipelines, and opportunities to network with peers across the data science and AI deployment community. Topics will include deployment patterns, MLOps basics, monitoring dashboards, reproducibility, security, and governance. Attendees will leave with practical artifacts, deployment templates, and a clear set of next steps for their own AI production projects. Registration details can be found on the RSS site page. Format and schedule: Day 1 morning is a hands-on lab introducing baselines and deployment pipelines; Day 1 afternoon features guided project sprints; Day 2 consists of speaker-led sessions with demos and Q&A. Pre-work: basic Python and ML concepts, Docker basics recommended. Bring a laptop; access to cloud resources may be provided. Attendees will receive example notebooks, pipeline templates, monitoring dashboards, and risk assessment checklists to take back to their organizations. This is a practical, in-person event designed to help teams operationalize AI in production and accelerate real-world impact.

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