Big DataNights & Microsoft Reactor – Explainable AI #1: Introduction to XAI

📣📣📣📣📣We are thrilled to announce that the Explainable AI (XAI) course by DataNights in collaboration with Microsoft Reactor, is now open for free registration! 📣📣📣📣📣

If you want to learn how to explain AI systems such that people can trust and understand, our XAI course is the perfect opportunity to develop your skills and knowledge in this important area.

This course provides a comprehensive overview of explainable AI, covering both theory and practice, and exploring various use cases for explainability. Participants will learn how to build more interpretable and transparent AI systems, so they can improve trust and accountability with stakeholders.

🤖This course is designed for data scientists that have at least two years of hands-on experience with machine learning and Python and a basic background in deep learning. Some of the sessions will be held in-person at the Microsoft Reactor in Tel Aviv, while others will be conducted virtually.

🌟Join our star-studded lineup of lecturers: Amit Sharma, Bitya Neuhof, Chen Galed, Itay Yona, Liat Antwarg Friedman, Maya Bercovitch, Odelia Melamed ,Rada Menczel and Yasmin Bokobza.
Don't miss out on this opportunity and sign up today!

✒️**Link to registration to first session in SUN, MAR 5 · 6:00 PM IST**: [https://www.meetup.com/datahack/events/291881422/ ](https://www.meetup.com/datahack/events/291881422/ )

## Registration links to the other sessions will be published soon. Stay tuned!