AI Study Jams (V2) - GDG Ahlen | Week 2: Intermediate ML and Feature Engineering

◎ 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.

MakeZapiern8n+2 more

⌖ Berlin · C130, Institut für Chemie, Technische Universität Berlin

Hosted by BLISS AI Speaker Series 2026/2027

Hear Google DeepMind student researcher Badr Alkhamissi discuss human-like artificial intelligence in Berlin on 3 November 2026. Hosted by BLISS e.V., this in-person event explores state-of-the-art AI and machine learning research through a focused 45-minute talk titled “Human-Like Artificial Intelligence.” After the presentation, attendees can exchange ideas and questions with fellow AI enthusiasts over complimentary pizza and drinks. Event details - Date: Tuesday, 3 November 2026 - Time: 7:00–9:00pm CET - Venue: C130, Institut für Chemie, Technische Universität Berlin, Chemiegebäude, Str. des 17. Juni 115, 10623 Berlin - Speaker: Badr Alkhamissi, Student Researcher at Google DeepMind - Format: Research talk followed by informal networking The session is open to everyone interested in advanced AI research, with a particular focus on students, PhD candidates, academic researchers and industry professionals working in machine learning research. Important: Doors close at 7:15pm, so arrive early. A Meetup RSVP is strictly required to guarantee entry. By attending, you also agree to be photographed. RSVP to attend

⌖ Berlin · C130, Institut für Chemie, Technische Universität Berlin

Hosted by BLISS AI Speaker Series 2026/2027

Hear Anthropic researcher Pavel Izmailov explore AI reasoning from pretraining to post-training on 10 November 2026 at TU Berlin in Berlin. Izmailov, a Member of Technical Staff at Anthropic, will present “Understanding Reasoning from Pretraining to Post-Training” in an approximately 45-minute research talk. Afterwards, attendees can continue the discussion, exchange questions and meet fellow AI enthusiasts over free drinks and pizza. Who it’s for The event is open to anyone interested in state-of-the-art AI research, with a particular focus on: - Students and PhD candidates - Academic researchers - Machine learning professionals - Industry practitioners with a research focus Organised by BLISS e.V., the talk forms part of its winter 2026/2027 in-person AI speaker series. Time: Tuesday 10 November 2026, 7:00–9:00pm CET Venue: C130, Institut für Chemie, Technische Universität Berlin, Chemiegebäude, Str. des 17. Juni 115, 10623 Berlin Doors close at 7:15pm, so arrive early. An RSVP on Meetup is strictly required to guarantee entry. Attendees should also note that photography will take place during the event. RSVP for the event on Meetup

⌖ Berlin · CIC Berlin

Hosted by HackLab

Build and ship a working Physical AI prototype at HackLab’s intensive 48-hour Robotics x AI Hackathon, held at CIC Berlin on 14–15 November 2026. Designed for people who want to move beyond discussing the future of robotics and start creating it, HackLab 2 brings builders together for two focused days of development, hardware training and experimentation. Participants will form teams, develop innovative robotics and AI projects, and turn ambitious ideas into real prototypes before presenting their work live. Who should attend? The hackathon is aimed at builders, engineers, startup founders and researchers working in or exploring robotics and AI. It is particularly relevant to technically minded participants who want practical experience with Physical AI, opportunities to meet potential collaborators, and direct exposure to others building at the frontier of intelligent hardware. The organisers highlight several reasons to take part: - Collaborate with robotics and AI talent and industry leaders - Build and showcase a cutting-edge robotics solution - Compete for more than €10,000 in cash, hardware and other prizes - Explore potential job and internship opportunities - Receive free credits from participating technology providers for use during the hackathon - Meet founders, researchers and engineers shaping the future of robotics Partners, co-hosts, technology providers and the precise prize categories are still to be announced. Updates will be shared through HackLab’s LinkedIn page. Hackathon schedule The in-person programme takes place at CIC Berlin, Lohmühlenstraße 65, in Berlin. Saturday, 14 November begins with doors, registration and breakfast at 09:00, followed by the opening ceremony at 09:30. Hacking starts at 11:00, with lunch at 13:00 and dinner at 19:00. Teams can continue building overnight. Sunday, 15 November starts with breakfast at 08:00 and lunch at 13:30. Final submissions are due at 17:45, immediately followed by judging at 18:00. The weekend concludes at 19:00 with live pitches and an award ceremony. Places are described as highly limited, and the current Eventbrite listing shows the event as sold out. Check the official page for ticket availability, updates or any released places: view registration details.

⌖ Berlin · Maritim Pro Arte Berlin

Hosted by Software & Support Media GmbH

AI Engineering Summit brings five days of hands-on enterprise AI training to the Maritim Pro Arte Berlin from 16–20 November 2026. Designed for teams moving beyond AI experiments, this inaugural event explores how to integrate coding agents, AI assistants and agentic workflows into real software delivery processes. Held in Berlin, the summit combines practical instruction with peer learning and problem-solving. Its programme includes five AI engineering tracks, more than 15 workshops, two deep-dive bootcamps and a dedicated Lab Day. Most training sessions feature hands-on exercises, best practices and live demonstrations rather than relying on theory alone. What the programme covers The five tracks address the technical and organisational challenges involved in adopting AI across enterprise engineering: - AI Software Engineering: Integrating coding agents and assistants into development, testing, code review and delivery with clear processes and standards. - Quality, Testing & AI Code Review: Using AI to support automated testing, intelligent reviews and higher software quality. - Enterprise AI Governance & Security: Establishing rules for data protection, intellectual property, compliance and controlled AI use across complex environments. - Legacy Modernisation with AI: Evolving established systems through gradual, traceable changes rather than a high-risk “big bang” rewrite. - Developer Experience & AI Toolchains: Avoiding tool sprawl and building a coherent AI toolchain for engineering teams. The Lab Day is a distinctive part of the format. Attendees work alongside experts and other software teams on genuine challenges drawn from day-to-day engineering. The emphasis is on developing concrete solutions, exchanging experience and transferring the lessons directly into participants’ own development organisations. Who should attend? This summit is aimed at software engineers, software architects, Tech Leads, Platform Engineers, Developer Experience teams, Engineering Managers and technical decision-makers. It is particularly relevant for organisations that already use or evaluate AI tools but now need to introduce them in a structured, secure and sustainable way. View the event and registration details