Digitalization Management and AI

Course overview

Introduction: AI and Digitalization Management Importance of Artificial Intelligence (AI) in digital transformation Basics of AI Engineering in the context of digitalization management Integration of AI technologies into digital transformation processes Potential and challenges in managing AI projects Strategic AI Management for Digitalization Strategic planning and control of AI initiatives AI Engineering as a success factor in digital transformation Building and scaling data science and AI competencies in the company Case studies of successful digital AI transformations Technological Foundations for Digitalization Managers Introduction to Python and data science basics for AI projects Data analysis with Pandas and SQL, visualization with Seaborn and Matplotlib Overview of machine learning, deep learning, and neural networks Technical infrastructure (cloud, Docker) for digital AI engineering Accelerating Digitalization with Generative AI Basics of prompt engineering for using generative AI ChatGPT, GPT models, and automation of digital processes Innovative AI applications for increasing efficiency in companies Practical examples of generative AI in digitalization management Project Management of Digital AI Solutions Agile methods for managing AI and digitalization projects Management of interdisciplinary teams from data science, IT, and business Quality assurance, risk, and change management in AI projects Monitoring and optimizing digital AI systems in practice AI Ethics, Compliance, and Data Protection Ethical challenges of digital AI applications Data protection and GDPR-compliant AI solutions in the digital context Responsible handling of data and artificial intelligence Transparency and explainability of AI-supported decisions Operationalization and Deployment of AI Applications Docker & container technologies for integrating digital AI models CI/CD and MLOps: Efficient management of digital AI products Model monitoring, drift detection, and quality assurance in operation Long-term maintenance and scaling of digital AI applications Capstone Project: Digitalization Management with AI in Action Practical digitalization project using AI Implementation of a realistic AI use case in the company Integration of AI engineering, prompt engineering, and digital processes Teamwork, presentation, and communication in a realistic corporate environment The topic of AI encompasses strategic planning, technological foundations, and ethical challenges in digitalization management.

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2027-01-15T23:00:00.000Z · Aachen · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-15T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-15T23:00:00.000Z · Bonn · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-15T23:00:00.000Z · Dresden · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-15T23:00:00.000Z · Duisburg · Combined Learning