Strategic AI management.

Q: What sets StackFuel apart from other training providers?

Our training programs are developed and produced by our in-house team of data scientists and subject matter experts, who will provide you with personalized mentoring throughout the course. We not only focus on realistic and practical content, but also ensure through personal 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.

Q: Why is StackFuel the right choice for me?

With StackFuel, you’re choosing a market leader with Germany’s most innovative learning platform to build your data skills in a practical way. Through certified training programs, you’ll learn online, on your own schedule, with 80 hours of hands-on content.This will help you successfully transition into a career as a data analyst or data scientist and learn how to professionally apply data and the fundamentals of artificial intelligence. Your new data career begins with your online training at StackFuel.

Learn how to use AI strategically, responsibly, and with a focus on impact within your organization. You’ll identify use cases, evaluate ROI, establish governance frameworks, and lead your team through the AI transformation.

Part time

4 weeks (VZ)

German

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

In this training you will learn:

AI Strategy and Use Cases

AI Governance and Compliance

Change and AI Transformation

Classify the fundamentals of AI, generative AI, and current AI trends in a way that is relevant to management
Realistically assessing the capabilities and limitations of modern AI in a business context
Develop an AI strategy and AI roadmap for your company or your area of responsibility
Identify AI use cases and prioritize them based on business value and feasibility
Develop robust business cases for AI initiatives and present them to stakeholders
Implementing AI governance, data protection, ethics, and compliance requirements, including the EU AI Act
Designing the AI implementation as a change process, addressing resistance, and planning for enablement
Measure the success of AI initiatives using KPIs and make ongoing adjustments

Table of contents

1
Fundamentals of AI Use in Business

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

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

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 and Use Cases

AI Governance and Compliance

Change and AI Transformation

Classify the fundamentals of AI, generative AI, and current AI trends in a way that is relevant to management
Realistically assessing the capabilities and limitations of modern AI in a business context
Develop an AI strategy and AI roadmap for your company or your area of responsibility
Identify AI use cases and prioritize them based on business value and feasibility
Develop robust business cases for AI initiatives and present them to stakeholders
Implementing AI governance, data protection, ethics, and compliance requirements, including the EU AI Act
Designing the AI implementation as a change process, addressing resistance, and planning for enablement
Measure the success of AI initiatives using KPIs and make ongoing adjustments

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.

Flexible

Completely online and full or part-time, you can train in the way that works best for you.

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.

What our graduates say.

Over 8,000 graduates have already completed training in data and AI skills at StackFuel. Here, some of them talk about their experience:

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

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."