Crash Course for AI Agent with Google - Ep 5

◎ 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

⌖ 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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⌖ London · London - Venue to be confirmed

Hosted by Startup Network Europe

Meet 300 business, innovation, product and technology leaders at a focused evening of AI discussion and structured networking in London. Taking place on Tuesday 27 October 2026, from 6pm to 9pm, The London AI Conference 2026 brings together decision-makers from across London and the wider UK. The three-hour, in-person format combines a senior-leader panel with an extended networking session, making it particularly relevant for people shaping AI, data, product, engineering and digital transformation strategies. Senior perspectives on AI and transformation Following registration and an introduction from Adam Fulham, founder of Startup Network Europe, the conference features a 40-minute panel with leaders working across AI, technology, data and enterprise transformation: - Marco Iannone, Group Chief AI Officer at Virgin Active and founder and CEO of Retechnica - Miryem Salah, Director Digital Data & Transformation, MD IT Hubs at VodafoneThree - Yasemin Hugul, IT Director at Just Group - Ian Golding, Chief Digital Information & AI Officer at TC Group - Jacob Vaidyan, VP, Digital Transformation (Telco & Services) at SAP - Kristine Campbell, Director Technology and Engineering at G-Research - Viktoria Ruubel, Chief Product, Data and Technology Officer at Cognism This cross-industry line-up gives attendees access to viewpoints from fitness, telecommunications, financial services, professional services, enterprise software, research and B2B technology. Agenda and networking - 6:00pm–6:25pm: Registration and networking - 6:25pm–6:30pm: Introduction - 6:30pm–7:10pm: Panel discussion - 7:10pm–9:00pm: Networking, including meetings pre-arranged through a networking app… Register for this event

⌖ London · Big Chill

Hosted by Startup Network Europe

Meet founders, investors and startup enthusiasts from across the UK at this informal evening networking party in London. Organised by Startup Network Europe, The London Startup Party 2026 takes place on 28 October 2026, from 18:00 to 22:00 BST, at Big Chill, 257–259 Pentonville Road, London N1 9NL. The event is designed around making new connections and meeting peers from the London startup ecosystem. Rather than a formal conference, it is hosted in a relaxed pub atmosphere, making it suitable for startup founders, investors and anyone interested in the UK startup community. No speakers or structured agenda have been announced. Every registrant will receive a name tag to make introductions easier. Drinks are not included and can be purchased individually from the bar. Tickets start at £10 plus VAT, with the fee helping to cover name tags and event marketing. Register for The London Startup Party 2026

⌖ London

Hosted by UKAI

Explore how organisations can demonstrate trustworthy AI in practice at UKAI’s free, invite-only report launch in Central London on 29 October 2026. From AI principles to practical trust Taking place from 6pm to 8.30pm GMT in Central London, this VIP drinks reception marks the release of Trustworthy AI: From Principles to Practice, A Framework for Innovation, Accountability and Adoption. The report has been produced by UKAI in partnership with Capgemini and shaped by a roundtable of senior leaders spanning financial services, legal, data and compliance. Rather than focusing only on AI regulation, it examines a wider and increasingly important question: what makes AI trustworthy, and how can organisations demonstrate that trust in practice? Attendees will receive an early look at the report’s findings and hear from contributors involved in its development. The evening will explore the intersection of responsible innovation, accountability and AI adoption, offering useful context for organisations seeking to turn high-level trust principles into credible working practices. What to expect - A first look at findings from the new UKAI and Capgemini report - Insights from contributors who helped shape the work - Drinks and informal networking in a Central London setting - Opportunities to meet UKAI members and professionals advancing the AI trust agenda - Discussion around AI governance, adoption, innovation and accountability This is a reception and report launch rather than a hands-on workshop. Its informal format is designed to support conversation and relationship-building among people dealing with the practical and strategic implications of trustworthy AI. The event is particularly relevant to senior leaders, AI governance and compliance professionals, legal and data specialists, financial services practitioners, innovators, and decision-makers responsible for adopting AI within organisations. It will also appeal to UKAI members and report contributors who want to connect with peers working at the frontier of responsible AI. View the event and registration details

Sponsors: Capgemini

⌖ London · The Royal Institute

Hosted by Cambridge Centre for Data-Driven Discovery

A one-day, in-person workshop in London exploring how frontier AI systems can be secured in real-world environments. Women in AI Security Workshop 2026 takes place at The Royal Institute on Tuesday 3 November 2026, from 9:00am to 5:00pm. Built around the theme “Securing Frontier AI Systems in the Wild”, the workshop will showcase prominent women working across AI security, AI safety and cyber security. It brings together perspectives from government, academia and industry, giving attendees an opportunity to learn about recent technical advances while examining the practical challenges involved in deploying and protecting frontier systems. What to expect The programme combines several formats to support technical learning, discussion and new connections: - Technical talks covering developments in AI and cyber security - Real-world case studies of how frontier AI systems are being secured - Panel sessions featuring experts from a variety of backgrounds - A guest lecture - Short community spotlight talks - A poster session presenting work from across the field - Opportunities to meet researchers and practitioners working at the intersection of AI and security The event forms part of an ongoing effort to build a more inclusive and diverse AI security community. Attendance is open to all genders, roles and levels of seniority, although the content will be particularly relevant to researchers and practitioners whose work connects AI with cyber security. The mix of talks, panels, posters and networking should suit both established experts and those developing their place in the field. Submit a spotlight talk Women working in AI security can apply to take part in the new spotlight talk session, with submissions welcomed at any career stage. Selected speakers will receive up to 15 minutes to present, with no audience questions afterwards. These sessions do not require a finished project. Early ideas, work in progress, interesting findings and open questions are all encouraged, creating a friendly setting in which women can share emerging work with an engaged audience. In support of the workshop’s goal of providing a platform for women in the field, spotlight speaking slots are reserved for women, while general attendance remains open to everyone.… Register for this event