Programs
All programs are offered regularly as 1-2 day courses, with weekend sessions available based on demand. Trainings are flexible, tailored to participant preferences, and can be delivered online via Google Meet or on-site. A personalized certificate is provided upon completion.
For participants joining us with an educational voucher (Bildungsgutschein) or similar funding, our courses are specifically designed to accommodate their needs. The programs range from 4 to 12 weeks, depending on the course.
For more information about upcoming sessions or to schedule a tailored training program, please contact us directly.

Introduction to Artificial Intelligence (AI)
- Understanding AI Fundamentals: Explore the core concepts of artificial intelligence, its types (e.g., machine learning, generative AI), and practical applications across industries.
- Machine Learning (ML): A subset of AI focused on training algorithms to make predictions or decisions based on data without explicit programming. Includes supervised, unsupervised, and reinforcement learning
- Deep Learning: A specialized type of ML that uses multi-layered neural networks, excelling in tasks like image and speech recognition.
- Natural Language Processing (NLP): The branch of AI enabling machines to understand and respond to human language, with applications such as chatbots, language translation, and sentiment analysis.
- AI Ethics and Risks: Delve into challenges such as bias, accountability, transparency, and the ethical considerations of AI in decision-making and societal impacts.
- AI Tools and Platforms: Gain an overview of widely-used AI tools and platforms, focusing on their functionalities and applications in business and everyday use.
- Future Trends in AI: Discover emerging trends shaping the future of AI, including advancements in autonomous systems, predictive analytics, and ethical frameworks.
- AI in Everyday Life: Understand how AI is transforming daily experiences, from virtual assistants to personalized recommendations, smart devices, and decision-making aids.

Artificial Intelligence (AI) for Human Resources (HR)
- AI in Recruitment: Leveraging AI for job postings, candidate sourcing, and pre-screening.
- AI-Driven Onboarding: Personalizing onboarding experiences using AI tools.
- Ethical AI in HR: Addressing bias, privacy concerns, and compliance with regulations like the EU AI Act.
- Automation in HR Tasks: Streamlining processes such as employee communication and document handling with AI.
- AI Trends in HR: Exploring future applications of AI in workforce management and employee engagement.

EU AI Act: Ensuring AI Compliance and Ethical Practices
- Introduction to AI Fundamentals
- Understanding basic concepts and terminologies of artificial intelligence.
- Exploring the functionality of AI models within a business context.
- Identifying practical applications of AI across various business areas.
- Hands-On Experience with Generative AI
- Engaging in practical exercises using current AI platforms.
- Learning to apply generative AI tools effectively in daily operations.
- Comprehensive Understanding of the EU AI Act
- Gaining insights into compliance requirements and implementation timelines.
- Classifying AI systems and understanding associated risk levels.
- Developing strategies to align business practices with regulatory standards.
- Legal and Ethical Considerations
- Addressing data protection and copyright issues related to AI usage.
- Navigating ethical challenges in deploying AI technologies responsibly.

Business English - English for Correspondence
- Professional Email Writing: Structuring emails, tone, and clarity for various business scenarios.
- Formal vs. Informal Communication: Adapting style based on context and audience.
- Business Vocabulary and Phrases: Key terms for HR, sales, marketing, and operations correspondence.
- Cross-Cultural Communication: Navigating language nuances and etiquette in global business.
Common Business Documents: Writing memos, letters, and reports with professionalism and clarity.
Next workshop: 29.03.2025