Artificial Intelligence and Machine Learning Fundamentals

Artificial Intelligence and Machine Learning Fundamentals

Updated Feb 11, 2020

Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples.

You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!

Target Audience 

This course is ideal for software developers and data scientists, who want to enrich their projects with machine learning. You do not need any prior experience in AI. We recommend that you have knowledge of high school level mathematics and at least one programming language, preferably Python.

Business Outcomes 

  • Includes practical examples that explain key machine learning algorithms
  • Explains neural networks in detail with interesting example problems
  • Provides ample practice in applying AI with Python