Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the course, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. By the end of this course, you will be confident when it comes to building your own AI applications with your newly acquired skills!

Artificial Intelligence and Machine Learning Fundamentals course is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it's recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).

• Principles of Artificial Intelligence
• AI with Search Techniques and Games
• Regression Polynomial and Support Vector Regression
• Classification
• Using Trees for Predictive Analysis
• Clustering
• Deep Learning with Neural Networks

In this course, you will implement AI techniques in order to solve business problems, and will learn to:

• Understand the importance, principles, and fields of AI
• Implement basic artificial intelligence concepts with Python
• Apply regression and classification concepts to real-world problems
• Perform predictive analysis using decision trees and random forests
• Carry out clustering using the k-means and mean shift algorithms
• Understand the fundamentals of deep learning via practical examples

• Payment in cash with payment slip or debit cards
• Payment in installments with credit cards
• Payment in installments without interest with credit cards of Stopanska Banka
• Payment by invoice