Whether conducted online or onsite, our instructor-led live Explainable AI (XAI) training courses provide an interactive, hands-on approach to mastering the interpretation, understanding, and communication of AI model decision-making. This practical experience is designed to enhance transparency and build trust in AI systems.
Explainable Artificial Intelligence (XAI) training is offered in two formats: "online live training" or "onsite live training". Online live training, often referred to as "remote live training," utilizes an interactive remote desktop platform. Onsite live training can be delivered directly at customer premises in Prague or within NobleProg corporate training centers located in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level professionals who want to apply Explainable AI techniques to ensure fairness, transparency, and ethical integrity in AI systems.
Upon completion of this training, participants will be able to:
Grasp the significance of XAI in ethical AI frameworks.
Apply XAI techniques to identify and reduce bias within AI models.
Promote transparency in the decision-making processes of AI models.
Align AI development with ethical norms and regulatory requirements.
Delivered as an instructor-led, live training in Prague (online or onsite), this program is designed for advanced professionals interested in exploring state-of-the-art XAI techniques for deep learning models, focusing on the development of 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.
This instructor-led live training, available Prague (online or onsite), is targeted at advanced-level professionals aiming to enhance their grasp 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.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate to advanced professionals who aim to implement transparent AI systems in practical applications.
Upon completion of this training, participants will be able to:
Comprehend the significance of transparency in AI models.
Apply advanced XAI techniques to interpret complex models.
Improve model transparency using SHAP, LIME, and other tools.
Tackle ethical concerns and fairness within AI models.
This instructor-led, live training in Prague (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.
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