Stuttgart

NobleProg Stuttgart, Löffelstr. 40, Stuttgart, germany, 70597

Overview

Our training facilities are located at Löffelstraße 40 in Stuttgart. Our spacious training rooms are easy to reach thanks to good traffic connections and offer optimal training conditions.

 

Arrival

The NobleProg training facilities are conveniently located near the B27, the feeder road to the A8 motorway. If you arrive by public transport, the nearest underground station is Degerloch/Albstrasse.

 

Parking

Around our training rooms you will find numerous parking spaces which are not subject to charges.

 

Local Services

Not far from Löfflerstrasse you will find various restaurants and hotels, including the Hotel Harambe Afrika.

Explore Our Courses

Explainable AI (XAI) for Ethical AI Development

 14 Hours
This instructor-led, live training in Stuttgart (online or onsite) is aimed at intermediate-level professionals who wish to apply Explainable AI techniques to ensure fairness, transparency, and ethical AI systems. By the end of this training, participants will be able to:
  • Understand the role of XAI in ethical AI systems.
  • Implement XAI techniques to detect and mitigate bias in AI models.
  • Ensure transparency in AI model decision-making processes.
  • Align AI development with ethical and regulatory standards.
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Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours
This instructor-led, live training in Stuttgart (online or onsite) is aimed at advanced-level professionals who wish to explore state-of-the-art XAI techniques for deep learning models, with a focus on building interpretable AI systems. By the end of this training, participants will be able to:
  • Understand the challenges of explainability in deep learning.
  • Implement advanced XAI techniques for neural networks.
  • Interpret decisions made by deep learning models.
  • Evaluate the trade-offs between performance and transparency.
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Advanced Techniques in Explainable AI (XAI)

 21 Hours
This instructor-led, live training in Stuttgart (online or onsite) is aimed at advanced-level professionals who wish to enhance their understanding of XAI techniques for complex AI models. By the end of this training, participants will be able to:
  • Implement state-of-the-art XAI techniques in AI models.
  • Interpret deep learning models and their decisions.
  • Apply advanced model-agnostic and model-specific explainability methods.
  • Address challenges related to AI transparency in complex systems.
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Explainable AI (XAI) for Transparency in AI Models

 21 Hours
This instructor-led, live training in Stuttgart (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement transparent AI systems in real-world applications. By the end of this training, participants will be able to:
  • Understand the importance of transparency in AI models.
  • Implement advanced XAI techniques to interpret complex models.
  • Enhance model transparency using SHAP, LIME, and other tools.
  • Address ethical concerns and fairness in AI models.
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Introduction to Explainable AI (XAI) for Beginners

 14 Hours
This instructor-led, live training in Stuttgart (online or onsite) is aimed at beginner-level professionals who wish to learn the basics of Explainable AI and its role in developing responsible AI systems. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of Explainable AI.
  • Explore the importance of transparency and interpretability in AI models.
  • Learn basic techniques for making AI models explainable.
  • Apply XAI techniques to simple machine learning models.
Read more...

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Upcoming Courses

Explainability in Deep Learning: Demystifying Black-Box Models

2025-07-01 09:30
21 hours
Stuttgart
5208 EUR (Online)
5808 EUR (Classroom)

Introduction to Explainable AI (XAI) for Beginners

2025-07-15 09:30
14 hours
Stuttgart
3472 EUR (Online)
3872 EUR (Classroom)

Explainability in Deep Learning: Demystifying Black-Box Models

2025-07-29 09:30
21 hours
Stuttgart
5208 EUR (Online)
5808 EUR (Classroom)

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