This training program equips participants with the knowledge and skills to leverage Artificial Intelligence (AI) in project management and data analysis. It covers foundational AI concepts, practical applications, ethical considerations, and the implementation of AI tools.
Program ObjectivesThis training program is open to anyone interested in expanding their professional skills. The practical examples and exercises are chosen so they map well to the daily work of Quality Managers; participation is expressly open to everyone, regardless of current professional role. The course teaches methods, tools, and content that can be applied in many different work contexts.
The following typical tasks from the daily work of Quality Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Audit plans
- CAPA workflows
- Nonconformity reports
- FMEA registers
- Supplier audits
The training program is divided into two main courses:
- KI für Projektmanager:innen* (AI for Project Managers)
- Introduction to Artificial Intelligence (AI)
- AI applications in project management
- Foundation Models and Open Source AI Tools
- AI in daily project work
- Implementation of AI projects
- Ethics, data protection, and legal frameworks for AI
- Evaluation of AI solutions
- Soft skills for AI projects, including communication, leadership, and change management
- Excursions on project management and working with ChatGPT
- Legal frameworks for AI usage
- KI-gestützte Datenanalyse* (AI-Powered Data Analysis)
- AI-assisted analysis cockpit with Co-Pilot
- Data preparation and visualization
- AI code acceleration with GitHub Copilot
- The AI analysis pipeline: from raw data to business strategy
- Fundamentals of machine learning (supervised and unsupervised learning)
- Building local AI models with Knime
- Deep learning in data analysis
- Feature engineering and dimensionality reduction
- Model evaluation and performance metrics
- Interpretability and explainability of AI models
- Ethics and data protection in AI-powered data analysis
- Deployment of AI-powered analysis tools and software solutions
- Practical projects for implementing AI-powered data analysis
Learning Objectives
Upon completion of this program, participants will be able to:
- Understand the fundamental principles of Artificial Intelligence.
- Identify and apply AI tools and techniques in project management.
- Conduct data analysis using AI-powered tools and methods.
- Prepare, visualize, and interpret data for strategic decision-making.
- Implement machine learning and deep learning concepts.
- Evaluate the performance and interpret the results of AI models.
- Navigate the ethical, legal, and data protection aspects of AI.
- Apply soft skills essential for managing AI-driven projects.
Career Prospects
The skills acquired in this program are applicable to a range of professional roles, including:
- Project management in technology-driven environments.
- Data analysis and business intelligence.
- AI project implementation and coordination.
- Consulting in the field of Artificial Intelligence.
- Software development and IT management.