Google Cloud AI Agents Live + Labs London (Day 1)

◎ 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

⌖ Chiang Mai · Hideaway

Hosted by Chiang Mai Professionals, Expats, and Digital Nomads

Explore Gemini 4 Argon and agentic AI through live workflow stress tests, technical discussion and builder networking in Chiang Mai. Hosted by Chiang Mai Professionals, Expats, and Digital Nomads, this practical meetup takes place at Hideaway on Sunday, 8 November 2026, from 11:30am to 2:30pm ICT. The core interactive programme is described as two hours, with time dedicated to meeting the local community. Rather than another introductory prompting workshop, the session examines how frontier AI performs on substantial coding, business and research tasks. Host Steven Dr S. will share lessons from evaluating agentic computer systems and multilingual STEM and business reasoning with Turing, then compare Gemini 4 Argon with Claude, ChatGPT and other models. What to expect - A community mixer for engineers, founders, researchers, agency owners and remote professionals - A technical look at model evaluation, long-context workflows and calibrated uncertainty - Discussion of Argon’s claimed one-million-token context window, hallucination rate and API pricing - A live lab testing two or three audience-submitted workflows with Gemini 4 Argon and Google Antigravity - An open roundtable covering model trade-offs and priorities for a continuing Chiang Mai AI Builders community Bring a difficult coding, business or research problem if you would like it considered for the live stress test. The venue is Hideaway, 209/154 Moo 10, Muban FengFah Padeat, Mueng Chiang Mai. Register for this event

ClaudeChatGPTGGemini 4 Argon+3 more

◎ 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 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

ChatGPTGeminiKKNIME+4 more

⌖ 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

⌖ Barcelona

Hosted by Semrush and Euromonitor International

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.

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