Applied Artificial Intelligence 

Course Prerequisite - No prerequisite required. 

Discover what this course is all about 

What you'll explore 

• Introduction to AI and machine learning fundamentals and the Python programming language
• Practical exercises in Jupyter Notebooks for data analysis and visualization
• Deepening knowledge of machine learning algorithms and core concepts
• Introduction to neural networks, activation functions, training, and implementation using Keras or TensorFlow
• Exploration of convolutional neural networks (CNNs) with applications such as image classification
• Advanced topics including transformer architectures and attention mechanisms
• Implementation and application of transformer models (e.g., BERT, GPT) with fine-tuning of pre-trained models
• Team-based projects applying acquired knowledge, with final presentations
• Course wrap-up with summary, feedback session, and further learning resources

Your key takeaways

• Understanding differences between AI, machine learning, and deep learning
• Foundational Python skills and use of libraries for data processing, ML, and visualization
• Knowledge of supervised, unsupervised, and reinforcement learning principles
• Ability to apply basic machine learning algorithms
• Understanding neural networks, including structure, training, and architectures such as CNNs
• Introduction to architectures for language understanding
• Fundamentals of transformer architectures and attention mechanisms
• Practical skills in implementing and fine-tuning transformer models, including pre-trained models
• Application of knowledge in team projects with presentation of results

Taught by recognized experts in Applied Artificial Intelligence

 Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.

Who should attend

This course is particularly beneficial for professionals in the following fields

• Engineers, data scientists, and software developers
  Technical professionals who want to build or deepen practical skills in machine learning, neural networks, and transformer models, and implement AI solutions in Python using modern frameworks.

• Digital transformation, product, and innovation managers
  Professionals who plan, evaluate, or manage AI-driven products and services and need a solid understanding of AI capabilities, limitations, and implementation paths for real-world use cases.

• Business analysts and domain experts in data-rich environments
  Analysts and specialists (e.g. in manufacturing, mobility, finance, energy, healthcare) who work with data and want to apply AI methods to solve concrete analytical and optimization problems in their domain.

• Researchers and early-career academics
  Master’s students, PhD candidates, postdoctoral researchers, and academic staff in computer science, information systems, engineering, or related fields who seek an application-oriented introduction to modern AI and deep learning techniques.

Advance your career with KIT-level expertise 

Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.