Applying AI Events in Zurich
"AI research" and "AI in production" are two pretty different worlds at this point. This page collects events from the production side: how teams integrate LLMs into real products, build agents that are worth trusting, wire up RAG pipelines that don't quietly hallucinate, and ship Copilot-style features without breaking the rest of the app. Agentic coding is a particularly active thread right now, with dedicated meetups and studios popping up across the continent.
This page narrows the Zurich calendar to Applying AI events. It's a subset of Switzerland's wider tech-event schedule, useful when you want something specific to go to in the city this month.
Zurich sustains one of the most research-dense tech-event calendars in Europe, anchored by ETH Zurich and the broader Swiss research ecosystem. ML-research, systems, and programming-languages communities are particularly strong. This is one of the places in Europe where compiler, distributed-systems, and cryptography research still has a community event presence in the form of guild nights, reading groups, and visiting-speaker series.
Upcoming Applying AI events in Zurich
Generative AI for Society and Workplace | Zurich
Zurich, 🇨🇠Switzerland
Explore how Generative AI is reshaping society and workplaces, enhancing productivity and innovation.
Welcome to Generative AI for Society and Workplace!Dive into the transformative world of Generative AI with this workshop, designed to empower professionals to harness the latest AI technologies for both societal and workplace innovation. Through a series of engaging modules, participants will explore foundational concepts, and advanced applications, with real-world use cases.
This workshop will provide the tools and knowledge needed to effectively integrate Generative AI into various business processes, navigate ethical considerations, and lead AI-driven initiatives. Join us to become a pivotal force in shaping the future of your industry with Generative AI.
Why Learn About Generative AIClaim a 5% Discount on this workshop, click here to access!
Generative AI stands at the forefront of technological innovation, reshaping industries by enabling new ways to create content, automate processes, and analyze data.
This knowledge empowers professionals to lead in the adoption of cutting-edge tools that enhance decision-making and operational efficiency, prepare for future challenges, and drive sustainable growth in an increasingly AI-integrated world.
01) Innovation and CreativityGenerative AI opens new avenues for creativity and innovation, allowing for the generation of novel ideas, designs, and solutions that can transform industries.
02) Efficiency and AutomationIt significantly enhances efficiency, automating routine tasks and analyzing complex data sets quickly, freeing up human resources for more strategic activities.
03) Competitive AdvantageUnderstanding and implementing Generative AI technologies provides a significant competitive edge, helping organizations stay ahead in a rapidly evolving digital landscape.
What You'll Gain from this Workshop 01) Comprehensive Skill DevelopmentDevelop a deep understanding of Generative AI, mastering foundational concepts, and advanced applications to implement AI solutions effectively in their organizations.
02) Practical Application and Automation StrategiesGain practical insights and experience through real-world use cases and exercises, learning to integrate Generative AI into business processes to boost efficiency and drive innovation.
03) Ethical Understanding and Risk ManagementExplore AI's ethical implications, understand potential risks, and learn strategies for responsible deployment to meet industry standards.
04) Leadership and Innovation PreparationLearn how to lead AI-driven projects and foster innovation within their teams, positioning themselves as forward-thinking leaders in their respective fields.
Who Should Attend 01) Business Leaders & ExecutivesSenior professionals exploring strategic AI integrations for operational and competitive advancements.
02) HR Professionals and Policy MakersIdeal for those keen to navigate the ethical, regulatory, and workforce challenges presented by AI technologies.
03) Innovators and TechnologistsEntrepreneurs and tech enthusiasts seeking to leverage AI for new business solutions and societal impact.
(External RSVP) GitHub Copilot Dev Days
Zurich, 🇨🇠Switzerland
** Important RSVP here (Due to room capacity and venue security, it's required to pre-register at the link for admission).
RSVP on Meetup is turned off.
Description:
Join us for a community-led developer event focused on AI-assisted coding with GitHub Copilot. This event brings together developers to explore practical workflows, real-world use cases, and hands-on experiences using GitHub Copilot.
Whether you are new to GitHub Copilot or already using it, this event will help you better understand how to apply AI-assisted coding techniques in everyday development.
Agenda
- 4:30pm: Doors open, Snacks, and Networking
- 5:00pm: Welcome, Community update
- 5:10pm~5:40pm: Tech talk: GitHub Copilot overview
- 5:40pm~6:40pm: Tech talk: GitHub Copilot in Practice
- 6:40pm~7:30pm: Open discussion and closing
Tech talk: Mastering GitHub Copilot CLI
Speaker: Aymen Furter - Cloud & AI Solution Engineer, Microsoft
Abstract: Learn to harness the power of agentic development by transitioning to autonomous, multi-step terminal workflows. This session focuses on mastering plan-based execution, repository-aware context, and integrating external data via the Model Context Protocol.
Tech talk: GitStop Using GitHub Copilot Like a Toy
Speaker: Emanuele Bartolesi - GitHub Tech Lead, Xebia
Abstract: Hub Copilot is easy to love in a demo. Real projects are different. Production codebases come with legacy code, missing context, inconsistent patterns, unclear requirements, and delivery pressure. That is where GitHub Copilot either becomes a real advantage or just an expensive toy. This talk focuses on practical ways to use Copilot in real development workflows, going beyond autocomplete. Agent mode, skills, Copilot CLI, and better prompting can make a real difference when working in messy repositories and under real deadlines. Designed for developers and tech leads who want more than flashy demos, this session shares concrete tactics to get better output, reduce noise, and make Copilot genuinely useful in day-to-day software delivery.
Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
Venue:
Microsoft Schweiz GmbH
The Circle 02, 8058 Zürich ZH
Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 3,000+ AI developers in Zurich and 500K+ worldwide.
ISTQB AI Tester Training Course (in English) - Zurich
Zurich, 🇨🇠Switzerland
ISTQB® AI TESTER, 3 days The aim of this course is to provide you with the knowledge and skills to pass the exam
The ISTQB® AI Testing (CT-AI) certification extends understanding of artificial intelligence and deep (machine) learning, most specifically in testing AI-based systems and using AI in testing. This course will provide you with the knowledge and skills to pass an exam certifying you as an ISTQB® Certified Tester - AI Testing (CT-AI).
Our trainers will fully prepare you by employing scenarios that mirror the real life challenges, and by focusing course delivery with a balance of theory and practice.
​Prerequisites: candidates must hold the Foundation Certificate.
​Duration: 3 days. ​
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​Training objectives:
- Understand the current state and expected trends of AI
- Experience the implementation and testing of a ML model and recognize where testers can best influence its quality
- Understand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency and explainability
- Contribute to the test strategy for an AI-Based system
- Design and execute test cases for AI-based systems
- Recognize the special requirements for the test infrastructure to support the testing of AI-based systems
- Understand how AI can be used to support software testing
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Language: English
AI Implementation in Business | Zurich
Zurich, 🇨🇠Switzerland
Learn how to use AI to boost your business at our "AI Implementation in Business" workshop - don't miss out on this opportunity to level up!
Welcome to AI Implementation in Business!Are you curious about how artificial intelligence can revolutionize your business operations?
In today’s rapidly evolving digital landscape, businesses that harness the power of AI are leading the way in innovation, efficiency, and growth. This workshop is designed to give you the tools and insights to integrate AI into your business strategy, transforming how you operate and make decisions. Whether you’re looking to stay ahead of the competition or explore the full potential of AI, this training will help you take that crucial next step.
Whether you're a small startup or a large corporation, this event is perfect for anyone looking to stay ahead in the digital age. Don't miss out on this opportunity to learn from the best in the field!
Why Learn About AIIn a world where technology is rapidly advancing, understanding AI is crucial for staying competitive and driving innovation. Learning about AI equips you with the knowledge to leverage its capabilities effectively, making you a valuable asset in any organization.
01) Drive InnovationAI opens doors to new possibilities, enabling you to create innovative solutions and improve existing processes.
02) Enhance Decision-MakingBy analyzing data more efficiently, AI provides valuable insights that lead to better, data-driven decisions.
03) Gain a Competitive EdgeMastering AI technology positions you ahead of the curve, giving you an advantage in a technology-driven market.
What You'll Gain from this Workshop 01) In-Depth KnowledgeUnderstand the core concepts of AI and its strategic importance in modern business.
02) Hands-On ExperienceAcquire practical skills through interactive sessions and real-world AI applications.
03) Strategic IntegrationLearn how to effectively integrate AI into your business strategy to drive growth and innovation.
04) Enhanced Decision-MakingDevelop the ability to leverage AI for improved data analysis and informed decision-making
Who Should Attend 01) Business Leaders & ManagersThose seeking to understand how AI can optimize operations and drive strategic growth
02) Entrepreneurs & InnovatorsIndividuals looking to leverage AI for innovative solutions in startups or small businesses
03) Technology EnthusiastsIndividuals eager to explore AI’s potential and its transformative impact across different sectors.
AI and the Teams That Make It Work
Zurich, 🇨🇠Switzerland
Two complementary takes on what actually decides whether AI delivers value in an organization. One on why role-based structures are the real enabler, the other on what happens to teams when AI starts resolving the tickets.
Here's what's planned for the evening:
17:30 - 18:00 - Arrival and first drinks
18:00 - 18:45 - AI Value Creation Starts Beyond Technology by Ralf Günthner
18:45 - 19:30 - When the Bot Takes the Ticket: Keeping Teams Effective as AI Rewrites the Rules by Dagmar Muth
19:30 - 20:30 - Networking, Open Space & More drinks*
AI Value Creation Starts Beyond Technology
Many companies are currently investing heavily in AI agents, copilots, and automation, yet the expected gains in productivity and innovation often fail to materialize. The reason is rarely technological, but structural: classic hierarchical organizational models are not designed to collaborate effectively with learning, adaptive systems.
This keynote explains why role-based work is the decisive enabler for successful AI adoption. In role-based organizations, responsibilities are clearly defined, decision rights are decentralized, and collaboration is dynamically organized, exactly the conditions under which AI agents can deliver maximum value.
Drawing on current research (including McKinsey, MIT CISR, and Harvard Business School) and practical examples from industry, mechanical engineering, and chemicals, the keynote shows how companies can combine AI agents with role-based structures to:
- drastically shorten implementation timelines
- increase acceptance and trust in AI
- enable continuous optimization instead of one-off pilot projects
- significantly improve the ROI of AI investments
The core message: AI does not transform organizations, organizations determine whether AI creates impact. Those who invest today in role-based ways of working, shared leadership, and decentralized decision logic build the operational foundation to not only introduce AI, but scale it strategically.
Ralf Günthner
Ralf Günthner is a transformation expert, entrepreneur, and lecturer with over 25 years of experience in digital transformation, AI, IoT, and organizational development. In his keynotes, he shows why AI value creation does not emerge from algorithms, platforms, or tools, but from leadership, culture, decision-making logic, and effective collaboration.
He combines deep technology expertise with systems thinking, neuroscience, and hands-on transformation work. As Co-CEO of Team-Factory GmbH, he supports companies in anchoring AI strategically, creating orientation, and delivering sustainable impact, beyond hype and technology fixation.
When the Bot Takes the Ticket: Keeping Teams Effective as AI Rewrites the Rules
AI agents are starting to resolve incidents, write code, and close tickets. That's great for throughput, but what happens to the humans in the team? Motivation, ownership, skill development, and psychological safety don't disappear as team development topics just because productivity metrics go up.
In this talk, Dagmar Muth draws on her work with engineering and product teams navigating AI-driven transformation. She shares what it takes to make AI integration work for the whole team: how to preserve ownership and purpose, keep accountability clear, and build the patterns that distinguish teams that thrive from those that merely adapt.
You'll leave with a clear mental model for thinking about team health in AI-augmented setups and concrete questions to bring back to your own team or organization.
Dagmar Muth
Dagmar Muth is a systemic organizational developer and agile coach with 20 years of experience guiding teams and companies through transformation. As a co-worker of pragmatic solutions ag in Zürich, she supports organizations in finding the right setup, processes, and culture to sustain performance from vision to go-live, increasingly in contexts shaped by AI. She works with cross-functional tech and product teams, coaches leaders, and lectures on agile project management at SIB. Her particular focus right now: how organizations integrate AI without losing what makes their teams actually work.
Many thanks to our sponsors:
- Catering Sponsor: DevOpsDays Zürich https://www.devopsdays.ch/
- Location Sponsor: Digicomp https://www.digicomp.ch/
* contact us min. 3 days prior to the event if you prefer a vegan option.
Debugging the Human Layer & Guerilla InnerSource in the AI Hype
Zurich, 🇨🇠Switzerland
Two complementary perspectives on engineering culture and the way we work together. Two experienced speakers and plenty of networking opportunity. We are very much looking forward to the next DevOps Meetup Zurich.
Here's what's planned for the evening:
17:30 - 18:00 - Arrival and first drinks
18:00 - 18:45 - Debugging the Human Layer: Applying Systems Thinking to Team Dynamics by Ashwin Krishnan
18:45 - 19:30 - Guerilla InnerSource in Enterprises, During the AI Hype by Oleg Nenashev
19:30 - 20:30 - Networking, Open Space & More drinks*
Debugging the Human Layer: Applying Systems Thinking to Team Dynamics
In DevOps, we obsess over the "Three Ways": Flow, Feedback, and Continuous Learning. We build robust CI/CD pipelines and automated testing to eliminate technical friction, yet we often ignore the most volatile component in our architecture: the humans.
This session explores how personality and team dynamics assessments function as "telemetry" for your human systems. By understanding the underlying "code" of our team members—their communication protocols, stress-response thresholds, and cognitive biases—we can move from accidental collaboration to intentional high-performance.
I will present a few personality assessments I have used personally, as well as with my teams (no brand endorsements), that the audience can consider to use to get a better understanding of themselves.
Ashwin Krishnan
Innovator, Board Advisor, Change Catalyst
Ashwin Krishnan is a highly accomplished CxO & Board Advisor with over 23 years of experience driving large-scale digital transformation and delivering significant business impact. His expertise lies in translating complex technologies like AI, Cloud, and Industry 4.0 into practical business solutions. Ashwin has a proven track record of leading large, global teams with empathy and empowerment, fostering a culture of excellence, and is passionate about team culture. He possesses a multi-cultural, multilingual, and multi-domain skill set, having advised CxOs in financial services, telecom, and manufacturing across Europe, the US, and APAC. His entrepreneurial leadership is demonstrated through his founding of wealthQUAY, a cloud-based Wealth Management-as-a-Service venture within Cognizant, as well as heading Disruptive Innovation at Orange Business. He holds an embaX from ETH Zürich & HSG St. Gallen and a B.E. in Computer Engineering.
Guerilla InnerSource in Enterprises, During the AI Hype
Many developers want to foster collaboration, knowledge sharing, and developer productivity, especially when those developers are their own colleagues. But do their companies really care? Despite the endless DevOps and developer productivity slidedecks, not everyone has a strategy beyond "let's form another task force" or "let's have another weekly meeting" from management. Can a single engineer actually introduce InnerSource and change how work gets done in a big enterprise? Maybe! Can they burn out in the process? Well, let's talk.
We'll discuss introducing an open collaboration culture, also known as InnerSource, inside rigid corporate structures that are not willing to change. The ongoing AI hype can be a great leverage, an excuse to form internal guilds, secure funding, and get executive attention for collaboration and productivity initiatives. How to get started without a budget or official blessing from higher ups? How to find allies and not burn too many bridges? And how to show impact when everyone is obsessed with KPIs?
Oleg Nenashev
Serial Community Builder, Independent Consultant
Oleg is a developer tools hacker, community builder, and DevRel consultant. He is a passionate open source software, open ecosystems, and open hardware advocate. Oleg is a core maintainer and ex-board member in the Jenkins project. He is a CNCF ambassador, Testcontainers Champion, GSoC mentor, and a former CDF TOC Chair. Oleg has a PhD degree in electronics design and volunteers in Ukrainian support and Russian anti-war organizations.
Many thanks to our sponsors:
- Catering Sponsor: DevOpsDays Zürich https://www.devopsdays.ch/
- Location Sponsor: Digicomp https://www.digicomp.ch/
* contact us min. 3 days prior to the event if you prefer a vegan option.