Applied AI for Technical Innovation – Insights into a Key Enabling Technology

Language: English
Location: Munich
Duration: 4 days in one week
Start: 20 January 2026
Cost: 3,619 EUR
ECTS: 5
The certificate program combines theoretical knowledge, academic use cases, and concrete applications of Artificial Intelligence (AI) in different industries, emphasizing Trustworthy AI Principles.

This certificate program will be part of the program “The European Leadership Program for Industrial Scientist: Enabling Science & Technology Impact Across Industries” which launched in August 2025. This Executive Program brings together senior industrial specialists & scientists from industry with leading professors and researchers from the most highly ranked technical universities in Europe (DTU, CTU, TalTech, EPFL, TU/e, l’X, TUM) to catalyze the development of leadership in the field of Key Enabling Technologies and thereby strengthen the competitiveness of European industries of tomorrow. More information will follow soon. If you have questions right away, feel free to contact us directly.

5 ECTS credits possible:
The certificate program is eligible as an elective for our Executive MBA students if you do both the module and the project work.

Quick Infos

Here you will find all the information you need for this course.

Benefits

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Benefit from the Strong Network of European Technical Universities

The certificate program “Applied AI for technical innovation – Insights into a Key Enabling Technology” was developed within the EuroTeQ alliance by the Czech Technical University in Prague (CTU), Technical University of Munich (TUM), and AppliedAI, the German expert for applying AI in industry. The EuroTeQ alliance offers a unique and valuable certificate program experience, combining international collaboration, quality assurance, cross-cultural exposure, networking opportunities, and recognition to participants.

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Empowering European Leadership in Key Enabling Technologies

This executive program brings together senior industrial specialists & scientists from industry with leading professors and researchers from the most highly ranked technical universities in Europe to catalyze the development of leadership in the field of key enabling technologies and thereby strengthen the competitiveness of European industries of tomorrow.

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Pedagogical Framework

We have pioneered a unique method designed specifically for senior specialists to enhance their capacity for scientific leadership. The innovative teaching strategy of the ELPIS program includes:
A science-driven leadership mindset: This approach is deeply rooted in the language of science, encouraging attitudes and mindsets such as curiosity, critical self-reflection, evidence-based rigor, combinatorial thinking, simplifying complex concepts, and embracing humor and optimism.
A process for creating opportunities: This process is woven into the activities of each module and the program as a whole. It involves identifying industry or technological tipping points, generating thought-provoking insights, converting them into actionable opportunities, refining them through experimentation, and aligning them with the broader innovation strategy.
A strategic blend of activities to demonstrate principles in action: This includes a variety of methods such as keynotes, presentations, live case studies, workshops, peer learning sessions, networking events, and exercises focused on influence and partnership, all aimed at creating or enhancing tangible opportunities for your organization.

Program Overview

You can find all the important information about the certificate program here. Below you can find out the objectives of the program, the exact details of the process, what you will learn and which lecturers will teach you the content.
Our program offers a comprehensive exploration of the following areas: 
  • Comprehensive Understanding: Gain multifaceted comprehension of AI, covering its applications and evolving principles.
  • Proficiency in Recognition: Develop proficiency in recognizing AI’s broad scope, including machine learning (ML) and deep learning.
  • Exploration of Use Cases: Explore academic and industrial AI use cases across domains.
  • Skills in Discernment: Develop skills in discerning AI’s regulatory landscape and effectively communicating AI concepts.
  • Inspiration for Entrepreneurship: Be inspired to embark on entrepreneurial endeavors leveraging AI’s transformative power through engaging presentations, workshops, and community immersion.

Program:

Applied AI for technical innovation – Insights into a Key Enabling Technology

Target group:

The target group are senior specialists and scientists (also often referred to as “Knowledge Principals”) as well as domain experts from industry and research. Potential participants play a vital part in fostering innovation, driving technological advancements, and maintaining a competitive edge on behalf of their organization. The collaboration and synergy among these roles are crucial for the success of R&D efforts and the overall growth of the company. Participants could have roles such as:

  • Senior Specialists (R&D)
  • CTO (Chief Technology Officer)
  • Deep Knowledge Experts (Director Titles with Staff Responsibility)
  • Knowledge Holders
  • CEL (Corporate Entrepreneurial Leadership)
  • Technical founders of companies
  • High-Potentials and mid-career R&D expertsSenior-Spezialisten und -Spezialistinnen (F&E)

Academic Responsibility:

Prof. Dr. Claudia Peus

Location:

Munich

Language:

English

Dates:

20 – 23 January 2026

Application deadline:

12 January 2026

Admission requirements:

You should have a Master’s degree, preferably a PhD, along with research experience from academia or industry. Moreover, having an endorsement from an executive management member would be advantageous for your training. Furthermore, a profound understanding of your organization’s technologies or expertise in a specialized area within the research and development domain is essential.

Graduation:

After completing the course, you will receive a certificate of participation from the Technical University of Munich. The certificate program is eligible as an elective for our Executive MBA students if you complete the project work during the course.

ECTS:

5 ECTS

Creditability:

The certificate program is eligible as a 5 credit elective for our Executive MBA students if you complete the project work during the course.

Program fee:

3,619 EUR*

Note for EMBA students: If this certificate program is taken as an elective module, the participation fee is included in the EMBA tuition. You can select this option during the registration process.

Discounts:

10% discount for TUM Alumni and members or employees of our strategic cooperation partners (see below).

*Based on our experience, the German tax benefits help many participants self-finance their education, as these can be worth up to 50% of tuition fees and program-related travel costs. Please consult your tax advisor for more details. For participants of our programs residing outside Germany this might be applicable, please check the situation with the local tax authorities in your country of residence.  

Dr. Paula González Avalos, appliedAI

Prof. Dr. Boris P. Paal, M. Jur., TUM School of Social Sciences and Technology

Kaeleigh Fletcher, appliedAI

Prof. Dr. Claudia Peus, Professor of Research and Science Management, TUM

Dr. Till Klein, appliedAI

Day 1: 20 January 2026

  • Welcome at TUM & Applied AI
  • Introduction to AI
  • Introduction to Machine Learning
  • Overview of AI Act: Regulating AI

Day 2: 21 January 2026

  • AI Use Cases
  • Workshop: Industry Cases from Ipai/appliedAI ecosystem (Part I)
  • Transfer Work: Find your own project (AI use cases within your technical field)

Day 3: 22 January 2026

  • Presentation of Industry Case Workshop Results
  • Use Cases in Context (with Siemens AI Lab Visit)
  • Risk Classification and Regulation for Your Own Use Cases

Day 4: 23 January 2026

  • Creating Environments of Psychological Safety in the Tech World​
  • Responsible Leadership in the Age of Disruptive Technologies
  • Technical Communication Between Different Groups
  • Navigating Difficult Conversations and the Magic of Feedback

Partner

EuroTeQ Engineering University

appliedAI Institute for Europe

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