BASIC ARTIFICIAL INTELLIGENCE (4 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – quote the fundamental concept of modern age Artificial Intelligence; LO2 – identify various AI architectures with its usabilities; LO3 – recognize the core and supporting components of Artificial Intelligence; LO4 – summarise the learning curve by describing the modern concept of Artificial Intelligence in daily basis.

Topics:

1 – Introduction to AI;
2 – Machine Learning Project Pipelines;
3 – Feature Selection and Engineering;
4 – Supervised Learning;
5 – Unsupervised Learning;
6 – Ensemble Learning;
7 – Big Data Utilization;
8 – Artificial Neural Network;
9 – Working with Deep Neural Network;
10 – Convolutional Neural Network;
11 – Natural Language Processing and Chatbots;
12 – Real-World AI Projects;
13 – Wrap-up.