AI Business Manager
This part-time executive training program equips professionals and managers with the skills to translate AI from hype into real business impact and successfully lead transformation in their organizations.
✓ Build a clear AI strategy aligned with business goals
✓ Identify and prioritize high-impact AI use cases
✓ Apply AI from idea to real implementation
✓ Use tools like Generative AI, Copilot and automation workflows effectively
✓ Make confident decisions on Make, Partner or Buy strategies
✓ Lead AI-driven initiatives with a structured and scalable approach
What you will learn
- AI Fundamentals & Navigator
- AI Strategy & Lifecycle Framework
- Ideation – Use case browsing
- Prompt Engineering & Instruction Tuning
- Teams & Competence Roles
- AI Organization
- Data-driven Business Models
- Technical feasibility
- Regulatory Frameworks & Data Governance
- Best Practices
- AI & Robotics
Who is this course intended for?
Preparing for the next career step or building on existing expertise in order to fill the current role more effectively requires intensive training formats. In addition to theoretical training content, interaction, exercises and transferability to your own job context are particularly important. This is made possible in 3-5 day certificate courses.
Our manager training formats are aimed at senior executives or managing owners of a company. You want to strategically optimize and sustainably implement the performance of the entire company in order to achieve the company's goals.
About this Training
The AI Business Manager training provides participants with a proven methodological approach from idea generation to evaluation, technical and business-related feasibility, competence & team settings, data testing and agile implementation methods. Using self-selected and company-individualized use cases, participants learn how to develop new data-driven business models, assess the maturity of AI use cases, and strategically manage data-driven decision-making. The program also covers key topics such as process automation, economic feasibility, and regulatory frameworks.
Why this Training is right for you
The AI Business Manager training is designed for specialist and managers who want to approach the topic of artificial intelligence from a business perspective, learn in-depth, field-tested approaches for implementing AI solutions, and gain hands-on experience with key agile AI implementation methodologies. Participants gain valuable tools for developing and scaling AI applications, managing cross-functional teams, and identifying automation opportunities.
Training Goals & Program Structure
After this training, you will be able to apply the field-tested methods of the AI Navigator and data-driven business model canvas to identify and evaluate economically logical AI use cases. You will understand how to use data as a driver for new business models, structure AI teams effectively, and optimize business processes. Additionally, you will gain insights into technology scouting, data governance, and a solid understanding of Prompt Engineering, learning how to interact effectively with AI systems to maximize their efficiency and align them with business objectives.
Within five days, the focus is on case studies and exercises in which the participants concretize and apply the theoretical & methodological basics of the AI Navigator. With the help of the field-tested AI Navigator, a structured approach is possible to identify AI-enabled projects and to guide them from idea generation to evaluation and data testing to successful implementation. In addition to lectures and practice-oriented exercises, there are numerous opportunities for professional and personal exchange as well as networking during joint evening events.
Day 1
- Introduction into Artificial Intelligence
- Why do AI Projects Fail?
- Impuls: AI Powerhouse
- AI Lifecycle Framework
- AI Strategy
Day 2
- Top-Down & Bottom-up Integration
- Job-to-be-done-Analysis
- Use Case Evaluation & Prioritization
- Introduction to Machine Learning
Day 3
- Fundamentals of Generative AI
- Microsoft 365 Copilot
- Prompt Engineering – How to talk to an AI?
- AI Use Case Assessment
Day 4
- Foundations of AI Agents
- From AI Opportunity to Implementation Decision
- Operating AI Systems
- AI Governance & EU AI Act
Day 5
- Exam
- Impuls: AI & Robotics
- Impuls: AI for a Circular Economy
- Certification, Feedback & Wrap-U
Customer Voices
"The training was an educational and intensive experience that provided valuable knowledge about the strategic use of AI in various industries. The content was extremely informative and helped to develop a deeper understanding of data-driven business models. The cross-industry exchange with other participants was particularly positive, offering new perspectives and inspiration."
Robert Kohlhaupt - Project Manager & BIM-Manager @ KVL Group
"The intensive training week with a lot of input gave a deep insight into the development of data-driven business models. I look forward to using the experience gained to promote data-driven decisions and strategies."
Frank Peterlein - Head of IT & AI @ KVL Group
Requesting Inhouse Training?
The course, or parts of it, would also be interesting for your entire team/your company? We would be happy to advise you on the possibility of an inhouse training. Give us a call or write to us - we will tailor your further training to suit your needs!
New: Interactive Online Program
Designed for busy professionals
- Only one live session per week (90 minutes) – easy to fit around your work schedule
- 6-week hands-on learning journey with real business use cases and practical assignments
- Expert coaching & live Q&A to get feedback, ask questions and accelerate your progress
- On-demand learning resources including templates, micro-learning videos and podcasts for flexible learning
AI Business Manager
Regular Price: 4,200 € (+19% VAT)
INC Academy
Trusted by leading companies
Our Partners
Speakers
Anne Loos is a dedicated business leader in the manufacturing industry, passionately driving growth and innovation. With extensive expertise in advanced AI and digital transformation, coupled with over 14 years of hands-on experience in pioneering technologies, she implements strategies to sustainably strengthen companies' competitiveness. Through successfully diversifying international business, creating new business models, and crafting customer-centric strategies, she has established herself as a trusted partner. Her global impact extends to significant data-driven projects on a global scale.
Anne Loos
Tim Schroeder studied Electrical Engineering & Information Technology as well as Business Administration and General Management at RWTH Aachen University. As the Head of Artificial Intelligence at the INC Innovation Center, he led multiple bilateral and multilateral projects in the areas of Industry 4.0, Logistics 4.0, and Artificial Intelligence. Through technology scouting, data analysis, and AI assessments, he assists companies in successfully implementing new innovations.
Tim Schroeder
Dominik Joosten studied electrical engineering at Hochschule Niederrhein University of Applied Sciences and completed his master’s degree in automation technology at RWTH Aachen University, including an Erasmus term focused on machine learning at NTNU in Norway. At INC Innovation Center, he is a Senior Technology Specialist responsible for developing AI solutions for industrial applications, building scalable cloud‑based systems, and driving MLOps practices. He also conducts workshops to strengthen internal AI competencies and works on data‑driven process optimization, predictive quality in manufacturing, and the practical use of GenAI technologies such as LLMs and RAG.
Dominik Joosten
Available Dates
Regular Price: 4,200 € (+19% VAT)
