This 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 Process Owners; 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 Process Owners serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Process maps
- Bottleneck analyses
- SOP libraries
- Value-stream reviews
- Kaizen sprints
This 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 Process Owners; 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 Process Owners serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Process maps
- Bottleneck analyses
- SOP libraries
- Value-stream reviews
- Kaizen sprints
Program Objectives
This 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 Process Owners; 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 Process Owners serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Process maps
- Bottleneck analyses
- SOP libraries
- Value-stream reviews
- Kaizen sprints
- Introduction to Ethics and Law in Artificial Intelligence
- Overview of the EU AI Act
- Transparency and Explainability of AI Systems
- Data Protection and Data Security in Artificial Intelligence
- Algorithmic Fairness and Freedom from Discrimination
- Ethical Principles in Artificial Intelligence
- Governance and Compliance in AI
- International Perspectives and Comparisons
Learning Objectives
- Analyze ethical challenges in AI development and deployment.
- Understand the regulatory landscape, including the EU AI Act.
- Evaluate the importance of transparency and explainability in AI systems.
- Apply principles of data protection and security to AI applications.
- Identify and address issues of algorithmic fairness and bias.
- Implement ethical frameworks for AI governance.
Course 2: Programming with Artificial Intelligence (AI)
Program Objectives
This 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 Process Owners; 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 Process Owners serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Process maps
- Bottleneck analyses
- SOP libraries
- Value-stream reviews
- Kaizen sprints
- Introduction to Software Development
- Introduction to Software Development with AI
- Overview of Artificial Intelligence (AI)
- Overview of Integrated Development Environments (IDEs): VS Code, Cursor, and Replit
- Getting Started with ChatGPT and Claude for Programming
- Introduction to Fundamental Programming Concepts
- Basics of Version Control with Git and GitHub
- JavaScript: Introduction and Programming
- Fullstack Web Application Development
- Writing and Debugging Code with AI
- Fundamentals of Modern Web Development
- Fundamentals of JavaScript, HTML, and CSS
- Static Websites vs. Web Applications
- JavaScript for Interactive Websites
- Introduction to Responsive Web Design
- Introduction to APIs and Their Use with and for AI
- Databases and Authentication
- The Role of Different Programming Languages
- Planning and Organization of Coding Projects
- Beyond Prompting Large Language Models (LLMs)
- Error Analysis and Performance Optimization of Code
- Web Security and Secure Programming Practices
- Best Practices for Daily Coding with AI Integration
- Simplified App Deployment
- Resource Collection
Learning Objectives
- Develop foundational programming skills using JavaScript.
- Understand and apply core concepts of modern web development.
- Utilize AI tools like ChatGPT and Claude for code generation and debugging.
- Implement version control using Git and GitHub.
- Build and deploy fullstack web applications.
- Integrate APIs into AI-powered applications.
- Apply best practices for secure coding and performance optimization.
- Effectively plan and manage coding projects.
Career Prospects
The competencies gained in this program are applicable in various professional roles within the IT sector. Potential career paths include positions in AI development, software engineering, data analysis, IT project management, and AI consulting. Participants will be prepared for tasks involving the development, implementation, and management of AI applications and solutions.