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  • TRAINING

Strategic AI management.

You'll learn how to strategically plan, thoroughly evaluate, and responsibly implement AI initiatives.

Full/Part time
4 weeks (full-time)
Beginner-friendly
German
Strategic AI management

What is Strategic AI Management?

Strategic AI management is the discipline of identifying, evaluating, and embedding AI initiatives across an organization. It combines a fundamental understanding of technology with strategy, governance, change management, and ROI measurement.

Who is this training program suitable for?

This training is designed for managers and decision-makers from various departments who want to understand, evaluate, and implement AI initiatives, even without a technical background. You have several years of professional experience and a basic understanding of data and digital business models.

For which professional groups is the training relevant?

This training program will prepare you for key roles in AI transformation. It is particularly well-suited for the following positions:

  • As an AI manager, you are responsible for your company’s or department’s AI strategy and roadmap
  • As a division manager, you will lead AI initiatives in a cost-effective, compliant, and well-received manner
  • As a Product Owner with responsibility for AI, you prioritize use cases based on business value and feasibility
  • As the AI Governance Lead, you will develop policies, roles, and structures in accordance with the EU AI Act and the GDPR
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In this training you will learn:

AI Strategy
AI Use Cases
AI Governance
  • What? You will identify and evaluate AI use cases, assess data quality and governance, take the GDPR and the EU AI Act into account, and learn how to implement AI strategies using change management, KPIs, and ROI analysis.
  • What for? So you can make informed preparations for AI decisions, keep an eye on risks, and make the business value of AI measurable.
  • Practice: In the final project, you will develop your own AI roadmap, including a business case and governance framework, and present it to the entire class.
Certificate Badge Symbol for award and quality seal.
Certificate Badge Symbol for award and quality seal.
Table of contents

1
Fundamentals of AI Use in Business
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You’ll build the foundation for your AI leadership role, covering everything from AI concepts to data and governance.

Module 1: AI Foundations for Strategic Leadership

You will understand key AI concepts, use generative AI and LLMs in a leadership context, identify strategic AI potential, and shape AI adoption responsibly. Topics include prompting basics, the fundamentals of an AI strategy, case studies, and use case identification.

Module 2: Data Foundations for AI Leadership

You will make well-founded data-driven decisions, leverage data as the foundation for successful AI initiatives, and practically implement governance structures as well as legal requirements from the GDPR and the EU AI Act.

2
Becoming an AI Leader: Responsibility, Strategy, Change, and Measurable Impact
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You will lead AI initiatives responsibly, strategically, and with measurable impact.

Module 3: Responsible and Strategic AI Leadership

You assess risks and regulations, apply governance and ethics frameworks, shape AI initiatives from a leadership perspective, and align them strategically. Topics include risks, AI ethics, governance frameworks, and practical projects.

Module 4: Implementing AI Strategy and Measuring Impact

You will plan AI strategies holistically, manage change processes and implementation barriers, implement AI initiatives realistically, and systematically measure success using KPIs and business impact.

3
Driving Value Through AI
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You will realize the business value of AI and embed it sustainably within the organization.

Module 5: Driving AI Value

You will strategically develop AI roadmaps, communicate effectively with stakeholders, professionally manage collaboration with AI providers, and measure and optimize the value contribution of your AI initiatives.

Module 6: Outlook and Final Project

You align your organization and teams with AI transformation, foster a culture of innovation, assess future trends, and further develop your own leadership role. The final project brings all topics together into your own AI strategy.

This training is part of the training programs:
In this training you will learn:
AI Strategy
AI Use Cases
AI Governance
  • What? You will identify and evaluate AI use cases, assess data quality and governance, take the GDPR and the EU AI Act into account, and learn how to implement AI strategies using change management, KPIs, and ROI analysis.
  • What for? So you can make informed preparations for AI decisions, keep an eye on risks, and make the business value of AI measurable.
  • Practice: In the final project, you will develop your own AI roadmap, including a business case and governance framework, and present it to the entire class.

Your benefits with StackFuel.

100 % Financed

Our training programs are 100% free of charge for you with an education voucher from the Federal Employment Agency.

80 % Practical content

Thanks to the high practical component, you will learn all the skills you need for everyday work in your future data job.

Predictable

Completely online and offered on a full-time or part-time basis—with fixed class times and live instruction.

Supported by mentors

Our data experts are always in contact and offer support and motivation.

Final certificate

After completing the training program, you will receive our recognized certificate to prove your skills.

Career Service included

Our Career Service supports you with advice and coaching when you start your data job.

The next
start dates.
Training programTraining Date Date/Duration Model
Business Analyst – Strategic AI Management Business Analyst – Strategic AI Management Business Analysis & Process Analysis
09.11.2026
09.11.2026 5–6 months Full-time
Full-time Apply
Business Analyst – Strategic AI Management Business Analyst – Strategic AI Management Business Analysis & Process Analysis
09.11.2026
09.11.2026 11–12 months Part-time
Part-time Apply
09.11.2026
09.11.2026 5–6 months Full-time
Full-time Apply
09.11.2026
09.11.2026 10–11 months Part-time
Part-time Apply
09.11.2026
09.11.2026 7–8 months Full-time
Full-time Apply
09.11.2026
09.11.2026 15–16 months Part-time
Part-time Apply
09.11.2026
09.11.2026 11–12 months Full-time
Full-time Apply
09.11.2026
09.11.2026 22–23 months Part-time
Part-time Apply
09.11.2026
09.11.2026 4–5 months Full-time
Full-time Apply
09.11.2026
09.11.2026 8–9 months Part-time
Part-time Apply
09.11.2026
09.11.2026 6 months Full-time
Full-time Apply
09.11.2026
09.11.2026 12 months Part-time
Part-time Apply
Business Analyst – Strategic AI Management Business Analyst – Strategic AI Management Business Analysis & Process Analysis
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
Business Analyst – Strategic AI Management Business Analyst – Strategic AI Management Business Analysis & Process Analysis
23.11.2026
23.11.2026 11–12 months Part-time
Part-time Apply
23.11.2026
23.11.2026 5–6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 10–11 months Part-time
Part-time Apply
23.11.2026
23.11.2026 7–8 months Full-time
Full-time Apply
23.11.2026
23.11.2026 15–16 months Part-time
Part-time Apply
23.11.2026
23.11.2026 11–12 months Full-time
Full-time Apply
23.11.2026
23.11.2026 22–23 months Part-time
Part-time Apply
23.11.2026
23.11.2026 4–5 months Full-time
Full-time Apply
23.11.2026
23.11.2026 8–9 months Part-time
Part-time Apply
23.11.2026
23.11.2026 6 months Full-time
Full-time Apply
23.11.2026
23.11.2026 12 months Part-time
Part-time Apply
The next
start dates.
Training
Start dates
Business Analyst – Strategic AI Management Business Analyst – Strategic AI ManagementBusiness Analysis & Process Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 5–6 months
    • Part-time - 11–12 months
  • 23.11.2026
    • Full-time - 5–6 months
    • Part-time - 11–12 months
Apply
BI Analyst – Strategic AI Management BI Analyst – Strategic AI ManagementBusiness Intelligence 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
  • 23.11.2026
    • Full-time - 5–6 months
    • Part-time - 10–11 months
Apply
Data Analyst – Strategic AI Management Data Analyst – Strategic AI ManagementData Analysis 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 7–8 months
    • Part-time - 15–16 months
  • 23.11.2026
    • Full-time - 7–8 months
    • Part-time - 15–16 months
Apply
Data Scientist – Strategic AI Management Data Scientist – Strategic AI ManagementData Science 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 11–12 months
    • Part-time - 22–23 months
  • 23.11.2026
    • Full-time - 11–12 months
    • Part-time - 22–23 months
Apply
Project Management – Introduction to Strategic AI Management Project Management – Introduction to Strategic AI ManagementProject Management (Basics) 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 4–5 months
    • Part-time - 8–9 months
  • 23.11.2026
    • Full-time - 4–5 months
    • Part-time - 8–9 months
Apply
Project Management – Strategic AI Management Project Management – Strategic AI ManagementProject Management 09.11.26 +1 more
  • 09.11.2026
    • Full-time - 6 months
    • Part-time - 12 months
  • 23.11.2026
    • Full-time - 6 months
    • Part-time - 12 months
Apply

Here's what our participants have to say:.

More than 8,000 graduates have already completed a training program in data and AI skills at StackFuel (a Multiverse Company). Here, some of them share their experiences:

Sandra Wilde
Participant
AI specialist
"I was particularly impressed by the timeliness and versatility of the course content, as well as the multimedia design."
Ayu Distler
Participant
Python Programmer Training
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Philipp Buthmann
Participants
Python Programmer
"The overall vibe was just always really great!"
Dr. Pinar Toker
Data Scientist
Eraneos Analytics
"The hands-on, real-world problems at StackFuel helped me master data analysis techniques and Python programming. The focus [...] on industry-relevant skills gave me the confidence and know-how I needed for my job search."
Data Scientist Training Program
Daniel Hermann
Geodata analyst
GI-CONSULT GmbH
"The competent and friendly lecturers and the examples of content made me enjoy data-driven programming. The certificates (from StackFuel) are a real plus on my CV - and the skills anyway!"
Data Scientist Training Program
Marco Fischer
Data Scientist
mexxon Group
"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
Data Scientist Training Program
Lisa Ambrosi de Magistris Verzier
Data Analyst
Interone
"I particularly liked the well-structured curriculum and the clearly conveyed content. I now feel confident in using Python for data analysis without any previous knowledge. The dedicated career service was also a great support."
Data Analyst Training Program
Michael
Participants
AI specialist
"The training was easy to follow and well-structured. The examples, in particular, helped me understand the material better."
Shahrouz
Participants
Continuing Education for AI Professionals
"The course was well-structured, practical, and explained clearly. The hands-on exercises with Excel, Word, and PowerPoint, as well as the methods for verifying the results, were particularly helpful."
Georges Kanaan
Participants
Data Analyst Further Training
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Ines Bulmahn
Participant
AI & Data Transformation Manager
"The course had a very strong practical component, and I was able to take a lot away from it."
Liudmila Litger
Data Analyst
Aviv Group (HomeToGo)
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Data Analyst Training Program
Yeonhee Kim
Participant
BI Analyst Continuing Education
"The live sessions were helpful, as was the support from the mentors."
Farbod Khiawi
Client Operations Consultant / Success Manager
AON
"What I liked best were the regular group sessions with participants and tutors. These were very exciting and beneficial for both learning and motivation."
Data Scientist Training Program
Philipp Gehrlein
Participants
AI Automation Expert
"I learned a lot of new and practical things during the training that I can now apply directly in my everyday life and in a professional setting."
Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
Data Scientist Training Program
Ulrike
Participant
Data Scientist Further Training
"I found the format very helpful because it conveys a lot of knowledge."
Ninel Kloss
Participant
BI Specialist, Data Analyst, Data Scientist
"During the course, I experienced a lot of positive emotions. The learning process was perfectly organized: there was a lot of important and interesting information, as well as varied and exciting assignments. Not everything I did was always easy for me, but it was always interesting and fun. A special thank you goes to the team of mentors. Whenever you need help, they’re there—patient and professional."
Sebastian Peter Piskalla
Participants
Continuing Education for AI Professionals
"The training is very practical and easy to understand. I especially liked the hands-on project because it allowed me to apply what I had learned right away. The content was clearly structured and very helpful for practical application."
Nurseven Simsek
Participants
BI + Data Analyst
"I really appreciated the well-structured content and the flexible organization."

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+8,500 graduates
93 % Completion rate
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FAQ

Our training programs are developed and produced by our in-house team of data scientists and subject matter experts, who provide you, as a participant, with personalized mentoring throughout the course. We not only focus on realistic and practical content, but also ensure through one-on-one interaction that all your questions are answered, thereby guaranteeing your learning success. Thanks to our “learning-by-doing“ approach, you’ll learn in our interactive learning environment using realistic datasets and real-world business cases from the industry, perfectly preparing you for a successful career start in a data-related role.
With StackFuel, you’re choosing a market leader with Germany’s most innovative learning platform to develop your data skills in a hands-on way. In certified training programs, you’ll learn online on weekdays between 8:30 a.m. and 5:30 p.m.—in live, guided sessions featuring 80 % of practical content. This will help you successfully transition into a career as a data analyst or data scientist and teach you how to professionally apply data and the fundamentals of artificial intelligence. Your new data career begins with your online training at StackFuel.
AI and data have become an integral part of our (professional) lives. Those who understand how to analyze data, use AI tools efficiently, and leverage AI applications possess in-demand skills for the workplace of tomorrow. That’s exactly why people with AI and data skills are particularly valuable to companies—and why new career opportunities are opening up in many industries and professional fields.
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