06 Jan Artificial Intelligence in Industrial Applications RG
Artificial Intelligence in Industrial Applications RG
#99 QS Ranking, 2025
- Duration
2 Weeks ( 15 Days / 14 Nights)
- Mode
On Campus
- Batch Size
20 -30
- Program Start Date
15th - 28th Jun 2025
24 Aug. - 6 Sep 2025
- Program Domain
Engineering & Technology
- Student Qualification
Recently Graduated
- Program Pedagogy
Theory-to-Practice Learning
- Certification
Yes ; 2 Credits
- Accommodation
Available
- Program Type
Global Skill Program
- 2,71,000
Note: Programme Fee excludes GST, VISA, and Airfare
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.
Program Highlights
Experience real-world AI applications in smart manufacturing
Master programming basics in Python and tools like TensorFlow and Keras.
Learn key AI concepts, includingmachine 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.
Learning Outcome
- Gain foundational and advanced knowledge of AI concepts and applications.
- Develop hands-on skills in Python programming and AI tools.
- Learn to integrate information in cyber-physical and industrial networks.
What’s Included
- Accommodation
Accommodation is provided during the programme tenure
- Meals
Meals are provided during the programme tenure
- Certificates
Certification with 3 ECTS (approx. 75 contact hours)
- Exclusivity
Access to RWTH’s state-of-the-art research facilities
Total Investment
- Program Fee
₹2,71,000
- GST(18%)
₹48,780
- Visa Fee
₹6,600
- Airfare (Roundtrip)
₹60,000
- Total
₹3,86,380
Itinerary (15 Days / 14 Nights)
Day 1
Introduction to AI fundamentals, including machine learning, reinforcement learning, and time series processing.
Day 2
Overview of AI applications in smart manufacturing and Industry 4.0..
Day 3
Programming basics in Python with hands-on exercises.
Day 4
Introduction to Python libraries for AI applications.
Day 5
Supervised learning techniques for predictive quality.
Day 6
Applying supervised learning in real-world industrial scenarios.
Day 7
Data integration in industrial networks using AI tools.
Day 8
Practical exercises with AI models for seamless data processing.
Day 9
Hands-on sessions using TensorFlow and scikit-learn.
Day 10
Real-life applications of AI tools in smart manufacturing and Industry 4.0.
Day 11
Advanced AI techniques for improving industrial networks.
Day 12
Final project work using learned AI tools and techniques.
Day 13
Wrap-up and presentations of projects.
Day 14
Evaluation and feedback from instructors.
Step-by-Step Admission Process
1. Apply directly on our website
2. Join an informative session
3. Select the programme that suits your goals
4. Receive an offer letter
5. Pay programme fee
6. Receive your acceptance letter and apply for Visa
Facilities
Main Building
outdoor Activities
Student Services Center
Sports & Recreation
Classroom
Research Tech Lab
Al Fresco Dining
Textiles Tech Lab
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