Artificial Intelligence for Beginners: Understand the basics

This course takes you on a journey to demystify Artificial Intelligence. We start with a historical perspective and understand the journey of AI through time. We learn about the term artificial intelligence and its origins.

We then define the term in the current context. Once these basics are clear, we move on to Understand the various types of Artificial Intelligences like Regression, Classification and Clustering. We also look at reinforced learning and its uses.

We talk about each of these in detail along with some real-life examples. We also Take a look back at some real-life artificial intelligence examples like a self-driving car and try to Segment the AI used in this into constituent components like regression classification and clustering. Once equipped with the basic understanding, we define the parts of Artificial Intelligence systems in detail and use real life examples to clarify concepts.

The parts like input data, algorithm and output are pretty much common across artificial intelligence models. Having a clear understanding of these as well as their limitations is necessary for strong foundations in the subject. Finally, we develop our own usable AI models.