Delivered either online or on-site, these instructor-led live Explainable AI (XAI) training courses utilize interactive, hands-on exercises to demonstrate how to apply explainable AI techniques. The goal is to interpret, comprehend, and clearly communicate the decision-making processes within AI models, thereby strengthening transparency and fostering trust in AI systems.
Explainable Artificial Intelligence (XAI) training is offered in two formats: "online live training" and "onsite live training". Online live sessions (also referred to as "remote live training") are conducted through an interactive remote desktop environment. Onsite live training can be held locally at customer premises in Athens or at NobleProg corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This instructor-led, live training in Athens (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.
This instructor-led, live training in Athens (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.
This instructor-led, live training in Athens (online or onsite) is designed for advanced-level professionals seeking to deepen their understanding of XAI techniques for complex AI models.
Upon completion of this training, participants will be able to:
Implement cutting-edge XAI techniques in AI models.
Interpret deep learning models and their decision-making processes.
Apply advanced model-agnostic and model-specific explainability methods.
Address challenges related to AI transparency in complex systems.
This instructor-led, live training in Athens (online or onsite) is designed for intermediate to advanced professionals who wish to implement transparent AI systems in real-world scenarios.
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.
Address ethical concerns and fairness in AI models.
This live, instructor-led training in Athens (delivered online or onsite) targets novice professionals aiming to comprehend the essentials of Explainable AI and its function in constructing responsible AI frameworks.
By the course's conclusion, attendees will be capable of:
Comprehending the core tenets of Explainable AI.
Evaluating the critical nature of transparency and interpretability in AI models.
Acquiring basic strategies for enhancing model explainability.
Applying XAI methods to elementary machine learning models.
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