The session aims at providing an intellectual history of Artificial Intelligence and the drivers to adopt this revolutionary technology.

What are the current and future impacts of Artificial Intelligence to our jobs?, will robots take our jobs and displace us?, What are the skills for an AI future?.

The interesting thing is that, negative social effects aren’t inevitable.Then who are going to benefit from this technology revolution?.

Python is used by companies and organizations such as Google, Yahoo,and NASA, Python’s beauty is that it is accessible to beginning programmers and proffesionals. Come and say Hello! to it.

Packages are such a large part of getting the most from Python, it’s worth dedicating a little time to them.Then in this session you will learn Python packages for Data Science and Machine Learning.

Mathematics is the core foundation of both ML and DL. You will learn all the Mathematical techniques such as Calculus and Numerical optimization,so that you can understand the building blocks of ML and DL algorithms.

Machine Learning has different algorithms which are classified into different categories, you will learn when to use each Machine Learning algorithm,its mathematical principle,and their pros and cons.

In this session we will introduce you to popular deep learning algorithms from basic to advanced, mathematical principles and you will learn how to implement them from scratch using PyTorch.

Do you want to make Computer see the world or understand and generate language?.Here we will learn most popular sub-fields of Deep Learning, Computer vision and Natural language processing, and others.