Deep Learning and Generative AI

About

This two-week course aims to provide an introduction and a foundational understanding of deep learning and generative AI concepts and their applications. It is designed for individuals who are new to AI and beginner in Python. By the end of the course, students will gain hands-on experience in building and training neural networks, generative AI , working with transformer architectures and large language models (LLMs). A core aspect of this course is practical implementation. Students will use Jupyter Notebook and Google Colab as their primary development environments. By leveraging these platforms, participants will learn to implement AI models in Python seamlessly and interactively, enhancing their learning experience.

Course leader

Prof. Dr. Hamid Mostofi

Target group

The Bachelor graduates and Master/PhD students of:

-All Engineering programs
-Business and Economics
-Industrial, IT and Computer Science,

Course aim

-Proficiency in Python and essential libraries for AI.
-Hands-on experience with TensorFlow for deep learning.
-Ability to build and train neural networks, CNN, and transformers.
-Understanding of generative AI and its applications.
-Skills to deploy large language model-solutions in the business domains.
-Knowledge of Text mining and Natural Language processing
-Introduction to Social Network concept and its principles and applications.

Fee info