Help shape the smart agents of tomorrow
In the Applied Artificial Intelligence (AAI) specialisation, you’ll learn not only to understand intelligent systems, but also to develop them from scratch. You’ll create software that recognises patterns, learns independently, and supports complex decision-making. Become a specialist who implements modern AI solutions and drives digital transformation in business and industry.
Programme content & structure
From data to intelligent decisions
Here, the focus is on methodological expertise: You’ll learn how to teach machines to “learn” and generate precise predictions from large amounts of data. In the process, you’ll discover the direct connection between complex mathematical models and functional software. Your projects will range from developing smart chatbots to controlling autonomous systems. Your focus will be on addressing relevant social and economic challenges — such as those in medical technology or logistics—through innovative IT solutions.
Focus on practice: Your toolkit for the AI revolution
At HFU, you’ll work with the methods that are changing our world:
- Machine Learning & Deep Learning: Understand the heart of AI. You’ll learn how neural networks work and how to train models that predict trends or automate complex tasks.
- Natural Language Processing (NLP) & Generative AI: Explore how computers understand human language. You’ll work with modern language models and learn how systems like ChatGPT function at their core.
- Robotics & Computer Vision: Teach AI to move and “see” in the physical world. You’ll develop algorithms for autonomous robots and learn how computers process visual information in real time.
Your path to graduation
In our labs, you’ll experiment with real-world datasets and apply your knowledge directly in two projects (in the 4th and 6th semesters). This means you won’t be developing purely theoretical models, but rather tangible AI prototypes designed to meet real-world requirements.
What you bring to the table
To really get started in the world of artificial intelligence and machine learning, you should bring the following mindset to the table:
- Logic & Curiosity about Data: You enjoy analyzing structures and drawing intelligent conclusions from information. You’re fascinated by the idea of how data is transformed into real knowledge.
- Analytical Thinking & Interest in Maths: You don’t just want to use off-the-shelf AI tools; you want to understand the logic behind them. We’ll teach you the necessary fundamentals of stochastics and optimization so that you can later develop your own AI methods.
- Innovative Spirit & Practical Approach: You have the drive to apply AI technologies like deep learning or generative models in practical ways—whether for smart chatbots or autonomous robots.
- Sense of Responsibility: You recognise that AI is transforming our society. You value the ethical use of algorithms and are committed to helping shape the future responsibly.
- Curiosity about the Future: You want to understand how AI will influence the economy of tomorrow and are eager to constantly try out new technologies and frameworks.
AAI specifics
In the Applied Artificial Intelligence (AAI) specialisation, you will gradually develop into an expert in learning systems. These four core modules of your specialisation form the foundation of your career and follow a clear methodological approach:
- Stochastics and Optimisation: This module lays the mathematical foundation. You’ll learn how to make chance and probabilities calculable — the indispensable basis for understanding and developing AI methods in the first place.
- Deep Learning: The focus here is on the analysis of neural networks. You’ll explore how complex architectures are structured, which today form the basis for state-of-the-art applications such as image or speech recognition.
- ML-Ops Engineering: We teach you how to automatically integrate machine learning models into IT infrastructures. You’ll learn to operate AI applications stably and develop professional workflows for reliable practical use.
- Formal Methods: You’ll achieve the highest precision in this “premier discipline.” Using mathematical techniques, you’ll prove the correctness and safety of AI systems, ensuring that technology not only learns but also functions with absolute reliability.
What's covered
Semester fees
Your career prospects
As a graduate with this specialisation, you’ll be exceptionally well-positioned in the job market, as companies worldwide are desperately seeking experts who not only understand AI models but can also translate them into real-world products.
Typical positions after graduation:
- AI Developer / Machine Learning Engineer: In this role, you design and train neural networks for industry. You are responsible for the entire process from machine learning to ML-Ops engineering to ensure models run stably in cloud infrastructures.
- Data Scientist: The focus here is on analysing complex data streams. You use your in-depth knowledge of stochastics and optimisation to generate valuable insights and predictions for companies from massive amounts of data.
- Robotics & Autonomous Systems Engineer: You develop intelligent control systems for drones, vehicles, or industrial robots. In doing so, you combine computer vision algorithms with modern robotics so that systems can perceive their environment and act autonomously.
- AI Consultant: As a consultant, you support companies in implementing AI strategies. You help integrate solutions in the areas of natural language processing (NLP) and generative models (such as LLMs) into business processes in a meaningful and responsible manner.
- Quality & Safety Engineer for AI: Ensuring the highest level of reliability is your mission. Using formal methods, you ensure that AI systems in critical areas