Note: Discounted pricing valid until 22nd Jan 2025
Dive into the world of Artificial Intelligence, Data Science & Robotics at RWTH Aachen University with this 2-week intensive program. Designed for students and professionals, it covers AI fundamentals, Python programming, and applications in smart manufacturing and Industry 4.0. Participants will gain hands-on experience with tools like TensorFlow, scikit-learn, and Keras, while exploring AI’s impact on predictive quality, industrial networks, and data integration.
Learn key AI concepts, including ML, deep learning, and reinforcement learning.
Master programming basics in Python and tools like TensorFlow and Keras.
Apply supervised learning techniques for predictive quality in industrial settings.
Learn cyber-physical systems, sensor systems, and data integration.
Experience real-world AI applications in smart manufacturing.
Accomodation provided during the program tenure.
Meals provided during the program tenure.
Certification with 3 ECTS (approx. 75 contact hours).
Access to RWTH’s state-of-the-art research facilities.
Introduction to AI fundamentals, including ML , reinforcement learning, and time series processing.
Overview of AI applications in smart manufacturing and Industry 4.0.
Programming basics in Python with hands-on exercises.
Introduction to Python libraries for AI applications.
Supervised learning techniques for predictive quality.
Applying supervised learning in real-world industrial scenarios.
Data integration in industrial networks using AI tools.
Practical exercises with AI models for seamless data processing.
Hands-on sessions using TensorFlow and scikit-learn.
Real-life applications of AI tools in smart manufacturing and Industry 4.0.
Advanced AI techniques for improving industrial networks.
Final project work using learned AI tools and techniques.
Wrap-up and presentations of projects.
Evaluation and feedback from instructors.
Participants will enjoy comfortable lodging and meals throughout the duration of the 2-week program. The university’s state-of-the-art facilities ensure a conducive environment for learning and collaboration. Additional details regarding accommodation can be provided upon request.
Germany 
Germany 
Germany 
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