Unlocking AI for Real Business Impact

◎ 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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⌖ Newcastle · Northern Design Centre

Hosted by Digital Pathfinders

Learn how to adopt AI without exposing your organisation to avoidable intellectual property, data or financial risks at this practical Gateshead workshop. Taking place on Wednesday 28 October 2026, from 9:30am to 12:30pm, AI: Myths, Risks & Benefits offers a clear-eyed introduction to the potential downsides of artificial intelligence,and the practical measures small organisations can take to protect themselves. The three-hour, in-person session will be held at the Northern Design Centre in Gateshead, within the wider Newcastle area. What the workshop covers AI can create genuine benefits, but organisations may adopt it without fully understanding what happens to their information, content or budget. Rather than relying on hype or technical jargon, this workshop examines common ways AI use can go wrong and what those mistakes could cost. Topics include: - Intellectual property: how businesses can unintentionally hand over valuable ideas or material through everyday use of free AI tools, including services that train on information submitted by users. - Personal information and data exposure: how sensitive information may be revealed, and what that could mean both for your organisation and for the people whose data you hold. - Cost management: why unchecked AI usage can lead to runaway costs and why organisations need to keep an eye on consumption. - Reducing exposure: practical steps that help teams use AI more sensibly while limiting avoidable risks. The emphasis is on helping attendees understand what to watch for before problems arise. By the end of the session, you should have a more grounded view of AI’s risks and benefits, alongside practical ways to approach adoption with greater care. Who should attend? This workshop is designed specifically for small businesses and charities that want to start using AI,or improve how they already use it,without being caught out by hidden consequences. No prior technical knowledge is required, making it suitable for leaders, staff and decision-makers who need an accessible overview rather than a highly technical session. The event is organised by Digital Pathfinders and takes place at Northern Design Centre, Abbott’s Hill, Gateshead NE8 3DF. Register for AI: Myths, Risks & Benefits

⌖ Newcastle

AiX Conference brings AI and product design leaders to Newcastle on 21 April 2027 for a focused day of talks, ideas and networking. Designing with AI starts here This one-day AI × Design conference explores how artificial intelligence is changing the way digital products are designed, built and experienced. Rather than spreading the programme across competing sessions, AiX uses one stage and one track, giving everyone a shared journey through the most important questions facing modern design and product teams. Attendees will hear how practitioners are applying AI in real working environments, discover emerging tools and examine examples of design innovation. The programme centres on two closely connected themes: - Designing AI products: how teams create AI-powered experiences that people can trust and enjoy using - Building with AI: how designers and product teams use AI to move from early ideas towards production more quickly The event is particularly relevant to product designers, design leaders and members of digital product teams who want to understand AI’s practical impact on their craft. It will also appeal to professionals responsible for shaping product experiences, evaluating emerging workflows or helping teams adopt AI thoughtfully. No specific experience level is stated; the emphasis is on industry insight, real-world practice and the changing relationship between AI, design and product development. Speakers announced for 2027 The developing line-up brings together designers and design leaders working across banking, employee benefits, sustainability software and technology products: - Jay Clark, Senior Design Manager at Monzo Bank - Miriam Khenissi, Senior Product Designer at Perkbox - Tom Hiskey, Senior Product Designer at EcoOnline - Stephen Patterson, Principal Product Designer at Deck - Paavan Buddhdev, Product Designer at Granola Further speakers are due to be announced as the 2027 programme is refined. Alongside the talks, the conference offers opportunities to connect with the people exploring and shaping AI-led product design. Its single-track format creates common ground for conversations throughout the day, making it easier to compare approaches, discuss lessons from the stage and build relationships with peers facing similar design challenges.… Register for this event

⌖ Newcastle · The Catalyst

Hosted by Jumping Rivers

AI in Production 2027 brings practitioners to The Catalyst in Newcastle on 10–11 June to share real-world lessons from deployed AI and machine learning systems. The conference opens with workshops on Thursday, followed by a full Friday programme of standard talks and lightning talks. Its focus is firmly on AI systems used beyond the people who built them, not speculative predictions, standalone benchmarks or polished product pitches. Call for speakers Jumping Rivers is accepting abstracts until 29 January 2027. Proposed talks can explore: - Deployment, serving, rollouts and rollbacks - Monitoring, observability, drift and feedback loops - Evaluation, human review, red-teaming and guardrails - RAG pipelines, agents and assistants in production - Cost, latency, caching and model-selection trade-offs - Production incidents and the lessons that followed - Responsible AI, regulation, governance and liability - Ownership and collaboration across technical teams Strong abstracts should describe a specific system, a consequential decision or turning point, what went wrong, and one clear takeaway supported by evidence where possible. Work in progress, internal tools, small-scale systems and discontinued projects are all welcome, and first-time speakers are explicitly encouraged. Standard sessions run for approximately 25 minutes, including five minutes for questions. Lightning talks last six minutes, use slides that advance automatically every 20 seconds and conclude with one question. Standard-talk speakers receive a free conference ticket. Submit a title and an abstract of up to 300 words through the speaker submission form. Applicants should hear back within two months of the deadline, and likely sooner. View conference details and registration information

⌖ 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