AI Engineering and Voice Assistants

Die Vermittlung von Kenntnissen zur Entwicklung von KI und Sprachassistenten steht im Vordergrund. Dabei werden Themen wie maschinelles Lernen, Deep Learning und Verstärkungslernen behandelt. Zudem wird auf Softwareentwicklung für datenintensive Wissenschaften und natürliche Sprachverarbeitung eingegangen.

Die Weiterbildungsinhalte sind auf Englisch.
Deep Learning

• Introduction to neural networks and deep learning
• Network architectures
• Neural network training
• Alternative training methods
• Further network architectures

Reinforcement Learning

• Introduction to reinforcement learning
• Markov chains
• Bandit
• Q-Learning
• Reinforcement learning approaches

Software Engineering for Data Intensive Sciences

• Agile project management
• DevOps
• Software development
• API
• From model to production

Machine Learning

• Supervised, unsupervised, and reinforcement learning approaches
• Regression and classification learning problems
• Estimation of functional dependencies via regression techniques
• Data clustering
• Support vector machines, large margin classification
• Decision tree learning

Natural Language Processing

• Introduction to NLP
• Important Basic and Advanced Methods in NLP
• Relevant Applications in NLP
• Challenges in NLP and their Solutions

Voice Assistants

• In this course, the implementation of voice assistants with state-of-the-art methods and frameworks will be taught.