Note: Discounted pricing valid until 22nd Jan 2025
Dive into the world of Artificial Intelligence 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.
Experience real-world . AI applications in smart manufacturing
Master programming basics in Python and tools like TensorFlow and Keras.
Learn key AI concepts, including .machine learning, deep learning, and reinforcement learning
Apply supervised learning techniques for predictive quality in industrial settings
Gain insights into cyber-physical systems, sensor systems, and data integration.
Accomodation is provided during the programme tenure.
Meals are provided during the programme tenure.
Certification with 3 ECTS (approx. 75 contact hours).
Introduction to AI fundamentals, including machine learning, 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 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.
Malaysia 
Malaysia 
Malaysia 
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