Opportunities for Continuing Education
Who Is This For?
MCML’s continuing education opportunities are primarily aimed at researchers, professionals, and advanced AI users. Depending on the format, individual programs may be open to a broader audience or address specific target groups.
Typical audiences include
AI researchers at all career stages
Professionals from industry and applied research
Advanced users of AI technologies
Participants from partner institutions and initiatives
Upcoming Education Opportunities
This section lists upcoming continuing education opportunities at MCML. Details on eligibility, registration, and participation are provided on the respective pages.
Certificate Course on Responsible AI - Part 1
Organized by the German National AI Centers
The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, as well as experienced AI enthusiasts and users.
Certificate Course on Responsible AI - Part 2
Organized by the German National AI Centers
The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, as well as experienced AI enthusiasts and users.
Certificate Course on Responsible AI - Part 3
Organized by the German National AI Centers
The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, as well as experienced AI enthusiasts and users.
Certificate Course on Responsible AI - Part 4
Organized by the German National AI Centers
The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, as well as experienced AI enthusiasts and users.
Past Education Opportunities
An overview of past continuing education opportunities offered by or in collaboration with MCML.
Call for Applications: Data Science Professional Certificate Program @LMU 2026
Application Deadline: 16.01.2026
The Data Science Certificate Program at LMU Munich, offered in collaboration with MCML, is a graded, part-time academic training program. It is designed for working professionals, researchers, and executives who want to improve their skills in the …
Workshop NLPOR @COLM 2025
First Workshop on Bridging NLP and Public Opinion Research Co-Located With COLM 2025
Recent advances in Natural Language Processing (NLP) and Large Language Models (LLMs) are transforming how we engage with and interpret human-generated data—highlighting critical issues around data quality, bias, and ethics. At the same time, Public …
Part 4: The Ethics of AI Agents
AI Agents and the Transformation of the Modern Workplace
The next “Comparing Notes on Trustworthy AI” event by the Bavarian AI Act Accelerator deals with the question, how AI agents such as advanced personal assistants are rapidly moving from concept to deployment. These autonomous systems raise important …
MCML Workshop: Reproducibility and Scientific Computing
Practical Workshop on Open Science, High-Performance Computing, and Reproducible Workflows
From September 24 to 30, MCML is hosting a five-day in-person workshop in Munich focused on reproducible computational research - organized by MCML members Moritz Herrmann and Martin Binder.
4th MCML Workshop on Causal Machine Learning
Organized by Our PI Stefan Feuerriegel and His Team
Causal inference has become highly important in many fields, such as medicine or marketing, and has received increasing attention from researchers in machine learning in recent years. The MCML Workshop in Causal Machine Learning invites causal ML …
Part 3: Comparing Notes on Trustworthy AI
AI Agents and the Transformation of the Modern Workplace
The next “Comparing Notes on Trustworthy AI” event by the Bavarian AI Act Accelerator focusses on, how leading organizations are using AI agents to boost productivity, enhance collaboration, and rethink decision-making, especially in HR …
Part 2: Comparing Notes on Trustworthy AI
Risk vs. Reward?! Implementing AI Agents in Startups, SMEs, and Public Organisations
The next “Comparing Notes on Trustworthy AI” event by the Bavarian AI Act Accelerator dives into whether AI agents are truly worth it for startups, SMEs, and public organisations – especially when resources are limited.
5th AutoML School 2025
Co-Organized by Our MCML Director Bernd Bischl and His Team
AutoML has become a cornerstone in the toolkit of many developers and researchers. With the rise of foundation models, AutoML’s potential has expanded even further, enabling smarter, more powerful, and scalable solutions. Although there is …
Part 1: Comparing Notes on Trustworthy AI
AI Agents 101: What They Are, How They Work, and How They Can Create Value
By popular demand, the “Comparing Notes on Trustworthy AI” series continues in 2025. This year, we will be exploring different political, legal, technical, and ethical perspectives on AI Agents. Join us for our first event in Munich, free registration …
Call for Applications: Data Science Professional Certificate Program @LMU 2025
Application Deadline: 10.01.2025
The Data Science Certificate Program at LMU Munich, offered in collaboration with MCML, is a graded, part-time academic training program. It is designed for working professionals, researchers, and executives who want to improve their skills in the …
EPIX Workshop
Epistemic Foundations and Limitations of Statistics and Science - Explaining the Replication Crisis?
This workshop is a joint initiative by the Open Science Initiative in Statistics (OSIS), at LMU’s Department of Statistics, and the Munich Center for Machine Learning. The aim of the workshop is to bring together statisticians, philosophers of …
3rd Bootcamp "AI Meets Entrepreneurs"
Shaping the Future of AI Medicine & Healthcare
The MCML is organizing together with impACTup! and LMU Media Informatics Group a two-part event to shift ML and AI researchers into an entrepreneurial mindset. With input from experts and hands-on experience, we want to highlight the opportunities …
MCML Workshop on Reproducibility and Scientific Computing
Organized by Our Transfer Coordinators Moritz Herrmann and Martin Binder
Join us for an intensive 5-day workshop on computational reproducibility and scientific computing organized by the MCML. Each day runs from approximately 9:00 AM to 5:00 PM, starting with lecture-style sessions in the morning. After a lunch break, …
4th AutoML Fall School 2025
Co-Organized by Our MCML Director Bernd Bischl and His Team
By increasing the efficiency of ML-application development and supporting users in crucial design decisions, AutoML became a key approach in the toolkit of many developers and researchers. Although there is an exponentially growing interest in …
3rd MCML Workshop on Causal Machine Learning
Organized by Our PI Stefan Feuerriegel and His Team
Causal inference has become highly important in many fields, such as medicine or marketing, and has received increasing attention from researchers in machine learning in recent years. The MCML Workshop in Causal Machine Learning invites causal ML …
Comparing Notes on Trustworthy AI
Part 3: Can Ethics Ensure Trustworthy AI?
The MCML, in collaboration with the appliedAI Institute for Europe gGmbH, the Liquid Legal Institute e.V., and the TUM Think Tank, presents a three-part event series on Trustworthy AI. The third event, “Can ethics ensure trustworthy AI?” addresses …
Part 2: Comparing Notes on Trustworthy AI
Part 2: Main Legal Challenges
The MCML, in collaboration with the appliedAI Institute for Europe gGmbH, the Liquid Legal Institute e.V., and the TUM Think Tank, presents a three-part event series on Trustworthy AI. The second event, “Main legal challenges”, addresses the …
Part 1: Comparing Notes on Trustworthy AI
How to Navigate the AI Act?
The MCML, in collaboration with the appliedAI Institute for Europe gGmbH, the Liquid Legal Institute e.V., and the TUM Think Tank, presents a three-part event series on Trustworthy AI. The first event “How to Navigate the AI Act?” addresses the …
5th Workshop of Uncertainty in Machine Learning
Join WUML 2024 - Organized by Our PI Eyke Hüllermeier and His Team
The 5th edition of the European Workshop on Uncertainty in Machine Learning (WUML) is organized by our PI Eyke Hüllermeier and his team. The goal of this workshop is to bring together researchers interested in the topic of uncertainty in machine …
Call for Applications: Data Science Professional Certificate Program @LMU 2024
Application Deadline: 31.12.2023
The Data Science Certificate Program at LMU Munich, offered in collaboration with MCML, is a graded, part-time academic training program. It is designed for working professionals, researchers, and executives who want to improve their skills in the …
3rd AutoML Fall School 2023
Organized by Our MCML Director Bernd Bischl and His Team
The AutoML Fall School 2023, organized by researchers from Munich, Freiburg, and Hannover universities, caters to advanced Master’s and early PhD students for in-depth AutoML exploration. It also offers an introduction for general ML …
2nd Bootcamp "AI Meets Entrepreneurs"
Impact Bootcamp Towards Food Security & Nutrition
The MCML is organizing together with impACTup!, Netlight Consulting and ZD.B / LMU Media Informatics Group a two-part event to shift ML and AI researchers into an entrepreneurial mindset. Expert insights explore the opportunities and challenges of …
MCML Meets Humanities 2023 Workshop
Organized by MCML Researcher Carina Geldhauser
Machine learning algorithms and data science techniques are getting increasingly popular among researchers in the humanities („Digital humanities”). In this workshop, we aim to bring together students and young researchers working in mathematics, …
1st Bootcamp "AI Meets Entrepreneurs"
Impact Bootcamp Towards Start-Ups That Unfold Potential of Sustainability
The MCML is co-organizing this two-part event, where we aim to shift researchers and students in Machine Learning and Artificial Intelligence into an Entrepreneurial Mindset. With input from experts and hands-on experience, we want to highlight the …
2nd AutoML Fall School 2022
Co-Organized by Our MCML Director Bernd Bischl and His Team
By increasing the efficiency of ML-application development and supporting users in crucial design decisions, AutoML became a key approach in the toolkit of many developers and researchers. Although there is an exponentially growing interest in …
1st Virtual AutoML Fall School 2021
Co-Organized by Our MCML Director Bernd Bischl and His Team
By increasing the efficiency of ML-application development and supporting users in crucial design decisions, AutoML became a key approach in the toolkit of many developers and researchers. Although there is an exponentially growing interest in …