No-Code AI Builder Summit - New York City

⌖ 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

⌖ Glasgow · Learning & Teaching Building (floor 3, room 324)

Hosted by NeuraSearch Laboratory

A two-hour interactive workshop in Glasgow for adults navigating how children use generative AI tools such as ChatGPT. Taking place on Tuesday 27 October 2026, from 6pm to 8pm, Growing up with AI creates space for parents, guardians and educators to examine what AI could mean for children’s learning, relationships and development. Generative AI is already becoming part of everyday life for many children and young people. They may turn to it for homework support, creative projects or answers to everyday questions, but its growing presence also raises important questions. Does AI strengthen children’s thinking, or can it begin to do too much of the work for them? How might regular interaction with AI affect emotional habits and friendships? Where do its benefits end and its risks begin? What the workshop will explore Rather than presenting a one-way lecture, this in-person, interactive session invites attendees to discuss these questions together, compare experiences and contribute their own perspectives. The conversation will cover: - What parents and teachers notice about children’s emotional habits when AI becomes part of daily life - How children’s friendships may be affected by their use of AI tools - Whether AI supports independent thinking or starts replacing parts of the learning process - The wider benefits, risks and unresolved questions surrounding AI in children’s lives There will be opportunities to ask questions and hear from other parents, guardians and education professionals. Experiences shared during the workshop will also contribute to research intended to improve understanding of children’s AI use, making this more than an introductory discussion: it is an opportunity to help shape the emerging evidence around a fast-changing issue. Who should attend? The workshop is open to parents, guardians and educators, whether they feel curious about AI, concerned by it or somewhere in between. No previous knowledge of AI or technical experience is required, so the session is suitable for complete beginners as well as adults who have already encountered these tools at home or in educational settings.… Register for this event

ChatGPT

◎ Online

Hosted by Digital Marketing Entrepreneur Hub

Learn how to use AI and ChatGPT to build a digital income from scratch in this free online webinar for beginners. Hosted by Nick Ronald for the Digital Marketing Entrepreneur Hub, the session takes place on Thursday 29 October 2026 at 7:00 PM. The timezone is not specified, and the online access link will only be visible to attendees. Nick will demonstrate the step-by-step process of creating a new AI-powered business, challenging the idea that you need technical skills, an original product, a large audience or significant upfront investment. Topics include: - Building income without inventing a new product - Creating a faceless business without appearing on camera - Starting without an existing audience or email list - Using AI for tasks such as content creation, research, design, copywriting and customer service The webinar is designed for aspiring entrepreneurs, side-hustle builders and digital marketing beginners, particularly those who do not consider themselves technical. It focuses on a simple, accessible business model rather than assuming previous AI or online-business experience. Register for the free webinar on Meetup.

ChatGPT

◎ Online

Hosted by Oxford Artificial Intelligence Meetup

See practical AI development workflows in action at this online Oxford AI meetup on 12 November 2026, featuring three demos from active builders. Hosted by Daren T. and Adrian A., What are you building with AI? is a show-and-tell session focused on the tools, processes and lessons behind real projects. Rather than heavy theory or polished corporate presentations, members of the Oxford Artificial Intelligence Meetup will demonstrate what they are currently making, explain what works and share what they are learning when things do not go to plan. What will be demonstrated? The agenda covers three distinct approaches to applying AI in development workflows: - Daren will show how he set up Meetup events using ChatGPT alongside browser control, offering a practical example of using AI to automate an event-management task. - Adrian will present his latest work using local AI to write Flutter code, showing how AI-assisted coding can fit into a software development process without relying entirely on hosted models. - Naweed will demonstrate his AGENTS.md file and, if time and circumstances allow, walk through his full development process. Together, the demos provide a grounded look at AI automation, browser-based workflows, local coding assistants and the project instructions used to guide AI agents. The emphasis is not on abstract predictions about AI, but on seeing how other builders use it day to day. Who is it for? This session is particularly relevant to developers, AI experimenters, automation enthusiasts and anyone exploring how agents or coding tools can support practical work. You do not need to arrive with a finished project or prepare a presentation: attendees are explicitly welcome to watch, listen and learn, with no pressure to share their own work. The event takes place online at 8:00 PM on Thursday 12 November 2026. The attendance link will be visible to registered participants. It forms part of the Oxford group’s recurring second-Thursday meetup series, built around a straightforward question: what are you building with AI? Register for this online event

ChatGPT

◎ 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

◎ Online

Hosted by Massachusetts Institute of Technology (MIT)

Build production-ready AI and machine learning solutions without writing a single line of code. This comprehensive 12-week online program from MIT Professional Education transforms aspiring data scientists and business professionals into AI practitioners through hands-on, no-code workflows. Starting November 27, 2026, you'll master the latest AI technologies—from supervised learning and neural networks to Generative AI and autonomous agents—using intuitive platforms that eliminate traditional coding barriers. What You'll Master This industry-aligned curriculum covers the complete AI development lifecycle across 10 core modules and additional self-paced content. You'll explore data science fundamentals, prediction methods using regression and neural networks, decision systems, recommendation engines, and computer vision techniques. Advanced modules dive deep into Generative AI foundations, prompt engineering, and Agentic AI—the cutting edge of autonomous intelligent systems. The program culminates with critical training in ethical and responsible AI deployment. You'll work with powerful no-code platforms including KNIME, RapidMiner, Teachable Machine, ChatGPT, Gemini, NotebookLM, and Dall E. These tools enable rapid prototyping, testing, and operationalization of machine learning models without traditional programming knowledge. Hands-On Learning Theory meets practice through 3 comprehensive projects and over 20 real-world case studies spanning hospitality, marketing and advertising, EdTech, healthcare, food and nutrition tech, and e-commerce. You'll transform raw data into actionable business insights, build classification systems, deploy neural network solutions, and create recommendation engines—all using no-code methodologies that reflect current industry practices. World-Class MIT Faculty Learn directly from MIT's leading researchers and educators, including Stefanie Jegelka, Caroline Uhler, John N. Tsitsiklis, Munther Dahleh, and Devavrat Shah. Their expertise ensures you're learning cutting-edge techniques aligned with academic research and industry application. Flexible Online Format This fully online program requires 6-12 hours weekly commitment over 12 weeks (approximately 80 total study hours). The asynchronous format allows you to balance learning with professional and personal commitments while progressing through structured modules. Upon successful completion, you'll receive a Certificat

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