Accelerate AI with Cloud Run: Developer Workshop

◎ 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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⌖ 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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⌖ New York

Hosted by IQT

IQT’s Quantum + AI 3.0 conference in New York City (October 25–27, 2026) brings together researchers, engineers, startup founders, corporate leaders, investors, and policymakers to explore the convergence of quantum computing and artificial intelligence. This three-day, multi-track event showcases how quantum technologies can accelerate AI innovations and how AI can drive practical use of quantum hardware, with a strong emphasis on real-world impact across multiple industries. What to expect: - 3 days of talks, panels, and case studies with 80+ speakers from academia and industry - A broad program covering the quantum stack and AI applications, plus dedicated coverage of post-quantum cryptography through the PQC+IQT track on Oct 26 - Daily mentoring sessions to help attendees advance research, product ideas, or business development - An enhanced networking experience designed to connect researchers, startup founders, corporate executives, investors, and policymakers - An informal greeting & Meet event on Oct 25: New York Harbor Dinner Cruise, offering a relaxed setting to connect with peers while taking in the city views - A focus on tangible use cases across pharma, supply chain, defense, cryptography, finance, and other industries - A look at how quantum-enabled AI can unlock new capabilities and how AI strategies influence quantum research and deployment Why this matters: - IQT’s flagship Q+AI conference is a leading global gathering for the AI + quantum community, expanding each year with more exhibitors, speakers, and networking opportunities - Attendees will gain insight into both AI up, down, and around the quantum stack and how quantum computing can enable AI breakthroughs - The event includes a post-quantum cryptography focus, highlighting security considerations as quantum capabilities grow Audience and format: - Target audience includes researchers, engineers, startup founders, corporate executives, investors, and policymakers - In-person conference with multiple tracks, plus dedicated mentoring and networking components - The program is designed to foster collaboration, partnerships, and practical knowledge transfer that attendees can apply in their own projects Key speakers and leadership: - Program coordinated by Bob Sutor and Brian Siegelwax, with a displayed roster including leaders such as Yonatan Cohen, Russ Fein, Isaiah Hull, Mike Jennings, Troy Jensen, and many others from academia, industry, and legal/venture backgrounds Logistics

⌖ New York

Hosted by Crescendo

Crescendo Live San Francisco 2026 brings together customer experience leaders for a full-day exploration of AI's real-world impact on CX operations. Taking place on May 21, 2026 (9:00 AM – 6:00 PM PST) in the heart of San Francisco's tech ecosystem, this operator-focused conference cuts through AI hype to showcase what's actually working in customer support, automation, and team design. What You'll Gain This isn't another vendor-heavy conference. Crescendo Live delivers practical insights from experienced CX operators who are successfully deploying AI in production environments. You'll get clear on the new CX standard — understanding how speed, consistency, and trust have fundamentally reset customer expectations and where many organizations quietly fall short. The event tackles critical questions facing CX leaders today: how to move AI from experimentation to execution without breaking customer trust, how to pair automation with human expertise for faster decisions, and how to build smarter teams that leverage AI while maintaining the judgment and empathy that define exceptional service. Speaker Lineup Hear from leaders at the forefront of AI-powered customer experience, including James Green (Chief Customer Officer, Squire), Hemant Taneja (CEO, General Catalyst), Morgan Donaldson (Chief Commercial Officer, CNTRL+), Jaqueline Andre (Sr. Director CS Production & Support, BentoBox), Chris Jocson (Chief Operating Officer, Good Eggs), and executives from TaskRabbit, POLYWOOD, and Crescendo itself. These practitioners share real stories, honest challenges, and proven strategies from teams facing the same operational pressures you navigate daily. Event Format The day blends main stage content with interactive breakout sessions and workshops. Morning sessions (10:00 AM – 12:00 PM) dive into foundational shifts in CX, followed by lunch and networking. Afternoon breakouts (1:30 – 2:30 PM) offer hands-on exploration of specific topics, with additional main stage content (2:30 – 4:30 PM) before an awards ceremony and cocktail reception that extends networking into the evening. Who Should Attend This conference is designed for CX leaders, customer support directors, automation strategists, and anyone responsible for delivering scalable, high-quality customer experiences. Whether you're evaluating AI tools, refining automation strategies, or redesigning team structures around AI capabilities, you'

⌖ New York · Microsoft Experience Center

Hosted by Mark P.

LLMday brings engineers, researchers and product teams to New York for a full day of practical insight into building, deploying and operating AI systems. Taking place on Thursday 29 October 2026, from 9:00am to 6:00pm EDT, this in-person conference focuses on Large Language Models (LLMs), artificial intelligence and machine learning. It offers a space for people working directly with AI products and infrastructure to compare real-world experience rather than discussing the technology only in theory. What to expect The programme is centred on the practical challenges encountered across the AI system lifecycle. Attendees can expect content relevant to: - Building products and services powered by LLMs - Deploying AI and machine-learning systems - Operating AI systems in real-world environments - AI/ML engineering and cloud architecture - Lessons shared across engineering, research and product disciplines The event page does not yet list individual sessions or speakers, but the latest programme information is available on the official Speakers & Topics page. Who should attend? LLMday is designed for engineers, researchers and product teams working with,or actively exploring,LLMs, AI and machine learning. Its cross-functional focus should be particularly useful for attendees who want to understand how technical research, product decisions and operational requirements come together when moving an AI system into production. The one-day, in-person conference format provides a concentrated opportunity to learn from real implementation experience and meet others facing similar questions around AI development, deployment and operation. Meetup attendees can also access the event chat before the conference to connect with other participants and take part in the conversation. Venue and registration Hosted by Mark P. and the In-Person Tech Events NYC 2026 group, the conference will be held at the Microsoft Experience Center, 677 Fifth Avenue, New York, NY 10022. A Meetup RSVP records interest only and does not complete registration. Tickets must be booked separately through Luma. The organiser is offering 50% off with promo code MEETUP50. Register for LLMday NYC 2026 Q4 or view the event listing.

⌖ New York · The New York Times Center

Hosted by All Tech Is Human

Responsible Tech Summit 2026 brings 375 global leaders to New York on 29 October to turn responsible AI principles into practical accountability. From principles to power Hosted by All Tech Is Human, this highly curated, one-day summit will convene bridge-builders and decision-makers from civil society, government, industry and academia. The central theme,“From Principles to Power: Embedding Accountability in the AI Era”,moves the responsible technology conversation beyond broad commitments and towards the relationships, influence and action needed to make accountability meaningful. Taking place at The New York Times Center in New York, the summit is designed for people working across organisational and sector boundaries in the Responsible Tech ecosystem. It will be particularly relevant to policymakers, researchers, civil society leaders, technology professionals, academics and others shaping how AI is developed, governed and used. The global, cross-sector mix offers attendees an opportunity to compare perspectives and build connections with people approaching AI accountability from different institutional positions. What to expect The main programme will run from 10:00am to 5:00pm EST on Thursday, 29 October 2026 and feature a varied stage format, including: - Panel discussions bringing together viewpoints from across the ecosystem - Fireside chats for more focused conversations - Presentations exploring responsible technology and AI accountability - A nearby networking gathering immediately after the stage programme - Coordinated side events offering more hands-on engagement With in-person attendance limited to 375 participants, the format places a clear emphasis on a deliberately assembled community rather than a large, general-interest conference audience. The networking session and side events extend the experience beyond formal talks, creating space for deeper discussion, practical exchange and new cross-sector relationships.… Register for this event