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Foundations of AI Math – Free Beginner Course
Rating: 4.7 out of 5(20 ratings)
445 students

Foundations of AI Math – Free Beginner Course

Learn Binary, Decimal, and Hexadecimal from Scratch for AI and Computer Systems
Last updated 1/2026
English

What you'll learn

  • Understand the role of number systems (Binary, Decimal, and Hexadecimal) in Artificial Intelligence and computer systems.
  • Convert numbers accurately between base 2, base 10, and base 16 using step-by-step methods.
  • Explain how binary and hexadecimal representations are used in data representation, memory, and AI computations.
  • Apply number system conversions to practical AI-related examples such as data encoding and low-level computations.
  • Build a strong mathematical foundation required for advanced topics in Machine Learning and Deep Learning

Course content

5 sections11 lectures29m total length
  • Introduction0:39

Requirements

  • No prior knowledge of Artificial Intelligence or advanced mathematics is required

Description

Artificial Intelligence is built on data, and data is ultimately represented using numbers. To truly understand how AI systems work, it is essential to first understand the number systems that computers rely on. This course is designed to provide a clear and practical introduction to the most important number systems used in computing and AI: Binary (Base 2), Decimal (Base 10), and Hexadecimal (Base 16).

This course starts from the absolute basics, making it ideal for beginners with no prior background in AI, programming, or advanced mathematics. You will learn what number systems are, why computers use binary, and how decimal and hexadecimal systems fit into modern computing and artificial intelligence workflows. Step by step, you will master number conversions between base 2, 10, and 16 using simple, easy-to-follow methods.

Throughout the course, concepts are explained in a clear and intuitive way, focusing on understanding rather than memorization. You will see how these number systems are used in real-world scenarios such as data representation, memory addressing, and low-level operations that support AI algorithms. Practical examples will help you connect mathematical concepts to how computers and AI systems actually process information.

By the end of this course, you will have a strong mathematical foundation that prepares you for more advanced topics such as Machine Learning, Deep Learning, programming, and computer architecture. Whether you are a student, an aspiring AI learner, or simply curious about how computers think in numbers, this course will give you the confidence and knowledge to move forward in your AI learning journey.

This course is perfect as a starting point before diving into more complex AI and data science topics

Who this course is for:

  • IT, computer science, or engineering students who want to improve their understanding of binary, decimal, and hexadecimal system