Introduction to Artificial Intelligence (AI) and Machine Learning (ML)
Learn about artificial intelligence and the algorithms used in machine learning.
This indroduction-level hands-on course explores the field of artificial intelligence (AI), programming, logic, search, machine learning (ML), and natural language understanding. You’ll learn current AI and ML methods, tools, techniques, and their application to computational problems.
In this course, we’ll cut through the math and you’ll learn exactly how machine learning algorithms work. We’ll focus on the algorithms used to create machine learning models. Using clear explanations, simple Python code (no libraries), and step-by-step labs, you’ll discover how to load and prepare data, evaluate your models, and implement a suite of linear and nonlinear algorithms along with assembling algorithms from scratch. You’ll also learn about algorithm applicability along with their limitations and practical use cases.
This course presents a wide variety of related technologies, concepts, and skills in a fast-paced, hands-on format. This provides you with a solid foundation for understanding and getting a jumpstart into working with artificial intelligence and machine learning.
If you have previous experience with Artificial Intelligence and Machine Learning, we recommend the more intermediate level class, Machine Learning Foundations | Math Emphasis (7603).
If you haven’t been exposed to Python programming, you might benefit more from Artificial Intelligence (AI) Overview for the Enterprise | Hands-on (7602).