Online or onsite, instructor-led live Explainable AI (XAI) training courses demonstrate through interactive hands-on practice how to use explainable AI techniques to interpret, understand, and communicate the decision-making processes of AI models, enhancing transparency and trust in AI systems.
Explainable Artificial Intelligence (XAI) training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Explainable AI (XAI) trainings in Transylvania can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Brasov, Calea Bucuresti Street
NobleProg Brasov, 13 Calea Bucuresti Street Sacele, Brasov, romania, 505600
The hotel is situated at the city entrance, being the best conference and training location in Brasov. Three conference rooms can accommodate up to 170 guests and can be modified for the company needs. These training rooms are equipped with the all necessities of a good conference or training.
Salile de training sunt situate central în Sibiu, pe principalul bulevard. Clădirea hotelului care le gazduieste este de factură clasicistă si reprezinta un punct de referinta arhitecturala a orasului.
Turnul Sfatului, Galeria de Arta Contemporana, sau parcurile Corneliu Coposu si Astra se află în imediata apropiere.
Pentru a ajunge aici de la gara, puteti merge pe jos 20min sau cu autobuzul 5 circa 10min
Locuri de parcare găsiți în parcarea supravegheata, sau pe străzile alăturate.
Cluj-Napoca, Pitești Street
NobleProg Cluj-Napoca, Strada Pitești 19, Cluj-Napoca, romania, 400124
ClujHUB has more rooms for events and training sessions, which can host from 4 to 80 people. These areas can be setup up to fit the companies need. The location is great, 10 minutes walk from the historical city center.
This instructor-led, live training in Transylvania (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 Transylvania (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 Transylvania (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.
This instructor-led, live training in Transylvania (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.
This instructor-led, live training in Transylvania (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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