Prototyping with AI Bootcamp

⌖ Singapore · Singapore

Hosted by Aanya Mathur

Autonomous SG 2026 is a six-hour AI buildathon for 300+ builders in Singapore, taking place on Saturday, 31 October 2026. Supported by Anthropic, the event challenges participants to build and ship a production-grade AI prototype within six hours. Problem statements will only be revealed on the day, so teams should arrive ready to build rather than prepare a solution in advance. The top five teams will pitch their work live on stage. Who can take part? The buildathon is open to undergraduates, master’s and PhD students, researchers, engineers and working professionals. You can participate solo or in a team of up to four. One person should register for the whole team and request the corresponding number of tickets. Each participant receives: - $50 in Claude API credits - Lunch - Event swag - Access to a community of more than 300 builders Create a free Claude Console account before the event. Credits apply to the Console organisation and are not Claude.ai Pro or Max subscriptions. The event runs 9:00am–6:00pm GMT+8. The exact Singapore venue is shared after registration. Host approval is required, so requesting a place does not guarantee admission. Questions can be directed to Aanya Mathur on LinkedIn. Request to join Autonomous SG 2026

Claude

Sponsors: Anthropic

◎ Online

Hosted by Big Data Conference Europe

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

Airtable

⌖ New York

Hosted by AI Accelerator Institute

Generative AI Summit brings 500+ engineers and executives to New York on 3 June 2027 to build and scale production-ready AI systems. Designed for people actively building and shipping AI,not simply watching the market,the summit aims to replace months of trial and error with practical insight into what works in production. Organised by AI Accelerator Institute as part of AIAI New York, it focuses on the technical, operational and leadership challenges involved in bringing applied AI products to market. What to expect The programme centres on focused discussions rather than a vast expo hall or marketing-led presentations. Attendees can expect conversations spanning: - Foundational models, LLMs and autonomous systems delivering measurable performance at scale - Generative AI infrastructure, model operations and production tooling - Agent architectures, orchestration and real-world agentic applications - Inference, evaluation and continuous fine-tuning - Live architecture benchmarks and approaches to scaling - Enterprise AI strategy, information security and risk The event is built around learning from peers who are already confronting deployment and scaling challenges. Alongside the content, networking provides opportunities to meet potential partners, innovators and fellow practitioners working on industry-ready AI. Who should attend? This summit is particularly relevant to AI and machine-learning engineers, software engineers, technical architects, model operations and infrastructure teams, product builders, AI leaders and senior executives responsible for enterprise adoption. The material is geared towards practitioners and decision-makers with an active interest in building, deploying or scaling AI systems, rather than a general introductory audience. AIAI New York also brings together co-located summit content covering generative AI, agentic AI and executive AI leadership, with multi-track access promoted by the organiser. This creates a useful meeting point between hands-on builders and the leaders setting strategy, governance and risk priorities.… Register for this event

ChatGPTClaudePerplexity

⌖ 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

⌖ Sheffield · The Edge, University of Sheffield, 34 Endcliffe Crescent, Sheffield, S10 3ED

Hosted by APRIL

The APRIL AI Hub Annual Summit 2026 brings together researchers, practitioners, and innovators at the forefront of artificial intelligence and machine learning for a full day of knowledge sharing and collaboration in Sheffield. Taking place at The Edge at the University of Sheffield, this conference serves as the flagship annual gathering for the APRIL (AI for Precision Medicine and Healthcare, Privacy, Reproducibility, Interpretability, and Learning) community. As the second annual summit following the inaugural event in Edinburgh, this conference continues APRIL AI Hub's mission to advance responsible AI research and practice across healthcare, precision medicine, and beyond. The summit provides a vital platform for cross-sector dialogue between academic researchers, industry partners, healthcare professionals, and policy makers working at the intersection of AI, ethics, and real-world applications. What to Expect While the detailed programme is still being finalised, attendees can expect a comprehensive agenda featuring: - Keynote presentations from leading figures in AI research and healthcare innovation - Research showcases highlighting cutting-edge work in precision medicine, privacy-preserving AI, reproducible research methodologies, and interpretable machine learning - Panel discussions exploring the ethical, regulatory, and practical challenges of deploying AI systems in sensitive domains - Networking opportunities to connect with peers across academia, industry, and healthcare sectors - Poster sessions and demonstrations of ongoing research projects Who Should Attend This summit is designed for: - AI and machine learning researchers working on healthcare applications - Data scientists and engineers building trustworthy AI systems - Healthcare professionals interested in AI-driven precision medicine - Policy makers and ethicists concerned with responsible AI deployment - PhD students and early-career researchers in AI and related fields - Industry partners exploring AI applications in regulated environments About APRIL AI Hub The APRIL AI Hub represents a collaborative initiative advancing responsible AI research with particular emphasis on healthcare applications, data privacy, reproducible science, interpretable models, and robust learning systems. Previous APRIL events have established a strong reputation for bringing together diverse perspectives on the challe

⌖ Location TBC

Hosted by Sijthoff Accountants Academy

Finance professionals face mounting pressure to innovate, optimize processes, and deliver insights faster than ever. This hands-on workshop shows you how to harness the power of no-code and low-code solutions to transform your organization's data management and automation capabilities—without needing an IT background. Built around the Microsoft Power Platform (including PowerBI, PowerApps, Power Automate, and Dataverse, enhanced by Copilot), this intensive one-day session equips you with practical skills to drive process optimization and support the emerging role of "Citizen Developers" in your organization. You'll discover how finance professionals can take a proactive, strategic role in digital transformation by championing accessible, scalable automation tools. What You'll Learn The workshop covers three core areas: Building Low-Barrier Applications - Optimize and automate internal processes using no-code/low-code platforms - Understand the shift from traditional IT development to Citizen Development models - See real-world examples of process improvements in finance organizations Microsoft Power Platform in Practice - Hands-on introduction to PowerBI for data visualization - PowerApps for custom business applications - Power Automate for workflow automation - Dataverse for centralized data management - Copilot integration for AI-enhanced productivity The Finance Professional as Change Agent - Strengthen internal controls through automated processes - Improve data quality and information provision - Lead innovation initiatives within your organization - Bridge the gap between business needs and technical solutions You'll work through practical examples and case studies that demonstrate how organizations across private, public, and non-profit sectors are leveraging these tools to achieve faster, more efficient, data-driven operations. Who Should Attend This workshop is designed for accountants in business, controllers, internal auditors, government accountants, and other professionals involved in decision-making, information management, data quality assurance, management reporting, or process automation. Whether you work in a corporate environment, SME, or non-profit organization, the Microsoft Power Platform principles apply across sectors and organizational sizes. Your Takeaways By the end of this practical session, you'll und

Sponsors: Alex van Groningen