- TRAINING PROGRAM
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.
- Full-time / part-time
- 1 month (VZ)
- Managers
- German
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:
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AI Fundamentals for Strategic Leadership
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Data Foundations for AI Leadership
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Responsible and Strategic AI Leadership
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Implementing an AI Strategy and Measuring Its Impact
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Driving AI Value
AI Fundamentals for Strategic Leadership
- 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
Data Foundations for AI Leadership
- 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
Responsible and Strategic AI Leadership
- 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
Implementing an AI Strategy and Measuring Its 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
Driving AI Value
- 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
Outlook and Final Project
- 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
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 the use of AI tools and learn AI basics and simple automations -
Can also be combined with other training programs if interested!
- 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
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.
LLM Assistance
Average salaries in the data science sector.
Data Scientist
Over 26,000 data jobs are currently advertised in Germany.
StackFuel Career Service for your job entry.
In our individual career coaching, we optimize your CV, develop tailor-made cover letters and sharpen your application strategy. With interview and soft skills training, you will be confident in interviews and assessments. Regular feedback sessions, workshops and networking events will strengthen your profile. We also support you in salary negotiations and in setting your professional goals.
Thousands of vacancies in the data and AI sector.
Our hands-on training programs combine interactive live sessions with real project work in which you will acquire exactly the data and AI skills that headhunters and recruiters in the data sector are looking for. Data experts are more in demand than ever across all industries. With a StackFuel training course, you will qualify for your career entry and secure access to over 26,000 open data jobs in Germany (Source: Indeed, 2026).
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:
start dates.
| Training program | Duration | ||
|---|---|---|---|
| 06.07.2026 |
1 month
Full-time
|
Apply | |
| 06.07.2026 |
2 months
Part-time
|
Apply | |
| 13.07.2026 |
1 month
Full-time
|
Apply | |
| 13.07.2026 |
2 months
Part-time
|
Apply | |
| 20.07.2026 |
1 month
Full-time
|
Apply | |
| 20.07.2026 |
2 months
Part-time
|
Apply | |
| 27.07.2026 |
1 month
Full-time
|
Apply | |
| 27.07.2026 |
2 months
Part-time
|
Apply |
start dates.
Strategic AI Manager
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06.07.2026
- Full-time - 1 month
- Part-time - 2 months
-
13.07.2026
- Full-time - 1 month
- Part-time - 2 months
-
20.07.2026
- Full-time - 1 month
- Part-time - 2 months
-
27.07.2026
- Full-time - 1 month
- Part-time - 2 months
Get personal advice now.
Our team of experts will work with you to find a suitable training program and answer any questions you may have.
We look forward to seeing you!
FAQ
What is the goal of the Strategic AI Management continuing education program?
The Strategic AI Management training program prepares you to strategically implement AI within your organization and manage it responsibly. You’ll learn to identify valuable use cases, develop AI roadmaps, understand regulatory requirements such as the GDPR and the EU AI Act, and quantify the business value of AI.
In addition, our Career Service will help you develop your application strategy so that you can effectively leverage your past experience, individual strengths, and new skills to secure a successful role as an AI manager or in related leadership positions.
How can I start my continuing education program to become a Strategic AI Manager, and what are the requirements?
This continuing education program is designed for professionals and executives with several years of work experience. A basic understanding of business processes and digital topics is required. Technical or programming skills are not necessary; the focus is on strategic AI leadership.
To get started, we will conduct an initial consultation with you to understand your individual abilities, find the best training program for you and inform you about your funding options through an education voucher if you still need one. Self-paying students will receive all the important information about course start dates and payment options.
What exams and certificates are included in the Strategic AI Management continuing education program?
After each training session, you’ll receive a certificate documenting the skills you’ve learned. You’ll complete the program with your own final project, in which you’ll develop an AI strategy or roadmap—including a business case and governance plan—and present it to our mentoring team.
This process ensures that you can lead AI initiatives strategically and responsibly. Our mentoring team of experts provides you with ongoing support through one-on-one interactions to help you successfully complete the training program.
