Generative AI & Artificial Intelligence for Beginners
Generative AI & Artificial Intelligence for Beginners – understand AI, machine learning and AI tools with no prior experience. Secure your career advantage today.
Master practical AI skills and successfully leverage Generative AI in the German job market.
Artificial intelligence is transforming the world of work at a pace that surprises many. According to a study by the Institute for Employment Research (IAB), AI could fundamentally change around 1.5 million jobs in Germany by 2030. At the same time, thousands of new career fields are emerging that require AI skills. The question is no longer whether AI will affect your working life but when.
This course, Generative AI & Artificial Intelligence for Beginners, was developed precisely for this moment. It is designed for anyone who wants to understand how AI really works without programming knowledge, without a technical background, and without any prior experience. Step by step, you will learn what lies behind tools like ChatGPT, DALL·E, and Gemini, Odysseus AI, how machine learning works, and how you can use generative AI meaningfully in your everyday professional life. The federal government has adopted a national AI strategy and committed billions to research and practical applications.
Germany is investing heavily in AI. The federal government has adopted a national AI strategy and committed billions to research and practical applications. Companies in the automotive industry, healthcare, financial services, and the Mittelstand are urgently seeking professionals who understand and can apply AI.
This course gives you the foundation for that future practical, accessible, and immediately applicable. Find out more about AI fundamentals and current developments at the Federal Ministry of Education and Research (BMBF).
Learning Objectives
Course Curriculum
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Defining Artificial Intelligence and Intelligent Systems
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Narrow AI, General AI, and the Scope of Modern AI
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Key Branches of AI: Machine Learning, NLP, Computer Vision, and Robotics
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Real-World AI Applications Across Industries
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How Machines Learn From Data: Core Machine Learning Concepts
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Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
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Neural Networks and Deep Learning Architectures
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Model Training, Data Processing, and Performance Evaluation
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What Generative AI Is and How It Differs From Traditional AI
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Generative AI Architectures: GANs, VAEs, Diffusion Models, and Transformers
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Large Language Models and the Transformer Architecture
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How Generative AI Produces Text, Images, Audio, Video, and Code
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Principles of Effective Prompt Engineering
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Prompt Design Techniques and Structured Prompt Frameworks
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Major Generative AI Tools, Platforms, and Model Ecosystems
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Building Practical Workflows With AI for Productivity and Automation
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AI Ethics, Bias, Fairness, and Responsible AI Development
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AI Safety, Privacy, and Risk Management in AI Systems
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Global AI Regulations, Governance Frameworks, and Compliance
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Future Trends in AI: Multimodal Models, AI Agents, and Emerging Technologies
Who is this course suitable for?
Requirements
Career opportunities
Certification information