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 Material Planners; 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 Material Planners serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Order calls
- Volume plans
- Schedule upkeep
- Min-stock reviews
- Safety stocks
This course delves into the ethical considerations and legal frameworks surrounding modern Artificial Intelligence (AI) technologies. Participants will explore complex ethical dilemmas and develop practical strategies for making informed decisions in AI implementation and development.
Content- 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
- AI Governance and Compliance
- International Perspectives and Comparisons
AI Management: Prompt Engineering
This course focuses on the strategic use of prompt engineering techniques to enhance the capabilities of AI systems, particularly large language models, for business applications. Participants will learn to craft effective prompts to guide AI towards specific outcomes and improve its performance as a business tool.
Content- Fundamentals of Artificial Intelligence and Language Models
- Introduction to AI Management and Prompt Engineering
- Constructing Effective Prompts: Structure and Language Choice
- Defining Objectives and Task Specification in Prompt Engineering
- Techniques for Contextualization and Detailing
- Introduction to AI Management and Prompt Engineering (repeated lesson from above)
- Special Topic: Hallucinations in AI
- Special Topic: Prompting for Image Generation
Learning Objectives
Upon completion of these courses, participants will be able to:
- Analyze and critically evaluate ethical challenges presented by AI technologies.
- Understand the key provisions of the EU AI Act and its implications.
- Implement strategies for ensuring transparency and explainability in AI systems.
- Apply best practices for data protection and security in AI contexts.
- Identify and mitigate algorithmic bias to promote fairness.
- Develop effective prompts for interacting with AI language models.
- Formulate clear objectives and tasks for AI-driven processes.
- Apply contextualization and detailing techniques to improve AI output.
- Understand and address the phenomenon of AI hallucinations.
- Utilize prompt engineering for image generation tasks.
Career Prospects
The competencies acquired in these courses are applicable in various professional roles, including but not limited to:
- AI Ethics Officers
- Compliance Managers in AI
- AI Project Managers
- Data Scientists
- Software Developers working with AI
- IT Consultants specializing in AI
- Roles requiring the strategic implementation and management of AI solutions.