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Deep Learning (ML II)
MICRO-DEGREEThe course introduces building neural networks, reinforcement learning, probabilistic graphical models, and recursive networks, giving students a strong foundation in both current and alternative AI approaches.

Teaching Subject: Applied Data Science
Senior Lecturer
Research Groups
Prof. Dr. Raad Bin Tareaf is a Professor of AI and Data Science at XU University. He holds a PhD in Data Science from the Hasso Plattner Institute, where his research focused on AI-driven personality prediction and social media analytics. His academic journey includes a B.Sc. in Computer Science from the German Jordanian University and an M.Sc. in Enterprise Systems Engineering from Princess Sumaya University for Technology. Before joining academia, he gained industry experience at Bosch and Continental GmbH.
At XU, his teaching and research focus on large language models (LLMs), explainable AI (XAI), and applied machine learning, with collaborations across academia, the public sector, and industry. His current projects include:
In his free time, he explores algorithmic trading, blockchain and Web 3.0, LLM fine-tuning for cybersecurity/SIEM applications, and green IoT systems.
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The course introduces building neural networks, reinforcement learning, probabilistic graphical models, and recursive networks, giving students a strong foundation in both current and alternative AI approaches.

This course offers students practical, hands-on experience by guiding them through the complete AI solution development pipeline—from data collection to deploying models in the cloud.

In this module, students learn about the basics and advanced topics of big data and cloud computing technologies, platforms and systems, their design and implementation, and their utilization in industrial and commercial applications.
Senior Lecturer
Teaching Subject: Applied Data Science
Applied Data Science