Strategic AI Management Training.

Become the driving force behind AI strategy and AI transformation in your company with the Strategic AI Management training course. You will learn how to identify AI potential, evaluate use cases economically, introduce AI responsibly and lead your team through the change.

What does a strategic planner do? AI Manager?

Strategic AI managers shape how their companies use artificial intelligence—from initial strategy and selecting the right use cases to company-wide implementation. They understand the capabilities and limitations of modern AI, translate them into business opportunities, prioritize initiatives in a cost-effective manner, and ensure responsible, compliant use of AI within the company.

Why take the Strategic AI Management course?

With the Strategic AI Management continuing education program, you’ll develop a skill set that combines an understanding of AI with strategic clarity. You’ll learn:

Classifying AI trends and technologies in a way that is relevant to management
Develop an AI strategy and AI roadmap for your company
Prioritize use cases based on business value and feasibility
Implementing AI governance, compliance, and the EU AI Act
Leading teams through AI transformation and actively addressing resistance

This is how you become the go-to person for AI in management—and actively help shape your company’s AI future.

The following modules are included in the training program:

Training

AI Fundamentals for Strategic Leadership

AI Strategy

Prompting

Use Case Identification

Learn to understand AI from a strategic perspective and systematically identify business opportunities within your area of responsibility...

Realistically contextualize key AI concepts and operating principles (generative AI, large language models, machine learning)
Effectively Using Generative AI in a Leadership Context — for Analysis, Communication, and Decision-Making
Systematically identify use cases within your own area and prioritize them based on business value
Analyzing Success Factors and Common Pitfalls in AI Adoption
Select appropriate AI solutions based on maturity level, risks, and organizational conditions

German

Training

Data Foundations for AI Leadership

Data Strategy

Data Governance

EU AI Act

View data as a strategic resource for successful AI initiatives and navigate regulatory requirements with confidence...

Making well-informed, data-driven, and AI-supported decisions
Assess the importance of data quality, data sources, and data management for AI readiness
Understanding the Core Principles, Roles, and Structures of Data Governance and AI Governance
Understanding the Requirements of the GDPR and the EU AI Act for AI Systems in the Workplace
Assess risks and actively support the implementation of responsible policies

German

Training

Responsible and Strategic AI Leadership

AI Risks

Ethical frameworks

Strategic Direction

Learn how to lead AI initiatives responsibly, manage risks, and strategically integrate them into your organization...

Systematically classify technical, legal, ethical, and operational AI risks
Applying Governance and Ethics Frameworks for Responsible AI in the Workplace
Fostering cross-functional collaboration and constructively managing AI-related conflicts
Align AI initiatives with business objectives and assess their value creation
Make and communicate well-informed decisions regarding prioritization and implementation

German

Training

Implementing an AI Strategy and Measuring Its Impact

Change management

AI Roadmap

KPIs & Impact

Learn how to effectively implement AI strategies within your organization and systematically measure their impact...

Planning AI strategies holistically and aligning them with organizational goals
Managing Change: Identifying Resistance, Engaging Stakeholders, Building Acceptance
Develop realistic timelines and project plans for AI initiatives
Defining Metrics and KPI Frameworks for AI Success
Evaluate progress based on data and transparently analyze business impact

German

Training

Driving AI Value

Strategic Roadmap

AI provider

ROI & Business Case

Learn how to effectively realize the business value of AI initiatives and communicate it persuasively throughout the organization...

Develop actionable AI roadmaps and business plans for your organization
Communicate AI initiatives to stakeholders and the executive board in a way that is tailored to their needs
Negotiating Professionally with AI Providers and Drafting Contracts
Prioritize investments and carefully weigh the costs and benefits
Calculate and Demonstrate the ROI of AI Investments
Effectively Presenting AI Business Cases to Decision-Making Bodies

German

Training

Outlook and Final Project

Agile AI Organization

Future trends

Final project

Embed AI in your company for the long term and shape your leadership role for the AI-driven future...

Analyze the impact of AI on roles, structures, and collaboration
Establishing a culture of innovation and continuous learning in the context of AI
Identify future trends in the field of AI and assess their strategic relevance
Develop and present your own AI strategy or roadmap as part of your final project
Shaping Personal Leadership Development in a Dynamic, AI-Driven Environment

German

You are a certified Strategic AI Manager.

Upon successful completion, you will have received certificates for each of the program’s individual training modules and will thus be a certified Strategic AI Manager.

Learn this tech stack

AI specialist Training program

Become an expert in using AI tools and learn the basics of AI and simple automation—
If you're interested, you can also combine this with other training programs!

NEW

Data and AI literacy

Generative AI

AI safety and ethics

Confidently apply basic AI concepts and prompting techniques in a business context
Sound evaluation of data and AI results
Using simple AI solutions responsibly in the day-to-day work of specialist departments
AI safety and ethics

NEW

Data Analyst Training: AI update

Learn Data Analysis with LLM Assistance in the newly expanded Data Analytics training and prepare yourself successfully for the jobs of tomorrow.

Data Analytics

Master data analysis, Python basics, statistical analysis, regression & effective visualization to make results actionable.

Python Basics

Statistics basics

Data analytics with Python

NEW

Data Analysis with
LLM Assistance

Machine Learning

Feature Engineering

Model Deployment

NEW

Learn data analysis with GenAI Tools

The complementary GenAI trainings are available to supplement your training program and help you to use LLMs for your work as a data professional.

Basics of
Generative AI

Use cases

Prompting

AI ethics

Data Analysis with
LLM Assistance

Code Generation

SQL Queries

Data visualization

Direct Data
Analysis with LLMs

Machine Learning

Feature Engineering

Model Deployment

LLM-Driven Development for Machine Learning

Machine Learning

Model Deployment

Feature Engineering

NEW

Average salaries in the data science sector.

Ø 50.000
Euro

Junior
Data Scientist

Ø 62,500
Euro

Midlevel
Data Scientist

Ø 80,000
Euro

Senior
Data Scientist

Source: Glassdoor 08/2026

Currently, there are over 100,000 jobs related to AI and technology that are unfilled in Germany.

StackFuel Career Service for your job entry.

To help you stand out in this market, we support you beyond the training itself. Through our personalized career coaching, we’ll optimize your resume, craft tailored cover letters, and refine your job application strategy. With interview and soft skills training, you’ll approach interviews and assessments with confidence. Regular feedback sessions, workshops, and networking events will strengthen your profile. In addition, we’ll support you with salary negotiations and helping you define your career goals.

Data and AI expertise is in higher demand than ever.

Our hands-on training programs combine interactive live sessions with real-world project work, where you’ll gain exactly the data and AI skills that headhunters and recruiters are looking for. Data experts are in demand across all industries: With a StackFuel training program, you’ll gain the qualifications needed to enter data and tech careers with AI expertise—such as data analyst, data scientist, data engineer, or project manager—and secure access to over 109,000 open tech and AI-related jobs (Source: Bitkom Research 2025, Source: PwC 2026).

Marketing Analyst

Data Manager

BI Analyst

Data Analyst

Data Scientist

Financial Analyst

Product Analyst

What our graduates say.

Over 6,000 graduates have already completed data analytics and data science training courses at StackFuel. Here, some of them talk about their experience:

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

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."