The artificial intelligence (AI) bootcamp aims to show participants how to preprocess, analyze, visualize, and interpret datasets, as well as how to train models in three categories of supervised, unsupervised, and semi-supervised. The interactive sessions of the bootcamp includes both theoretical and practical topics such that participants understand the underlying concepts of the methods besides learn how to deal with tools in Lab sessions. The AI bootcamp contains five courses starting from introductory concepts to advanced deep learning techniques. The courses are as follows:

- Introduction to Data Science
- Unsupervised Algorithms
- Reinforcement Learning
- Time Series Data
- Convolutional Neural Networks

Prerequisites:
- Basic knowledge of mathematics (e.g. linear algebra, matrix computations, and probability)
- Basic level of programming by Python

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