[Free] Ai Begins Here: A Hands-On Dive Into The Simple Perceptron
Your First Step Toward Neural Networks & Machine Learning – Free Course
What you’ll learn
- Understand the fundamentals of a simple perceptron model, including its structure, working principles, and activation functions.
- Manually compute perceptron outputs for binary classification problems, specifically using the AND gate as a foundational example.
- Apply weight updates using basic learning rules, and visualize how the perceptron learns from training data.
- Develop intuition for neural network behavior, laying a strong conceptual foundation for more advanced AI and machine learning models.
Requirements
- Basic understanding of high school algebra (addition, multiplication, simple equations)
- Interest in Artificial Intelligence or Machine Learning
- No prior programming or AI experience required
- A curious mind and willingness to learn by doing!
Description
Welcome to “AI Begins Here: A Hands-On Dive into the Simple Perceptron” – your perfect first step into the world of Artificial Intelligence and Neural Networks! This beginner-friendly course demystifies how machines can learn logical operations using one of the simplest building blocks in AI: the perceptron.We’ll walk you through everything from the basic structure and math behind a perceptron to its real-world application using the AND gate. No prior experience in programming, AI, or advanced math is required – just curiosity and a willingness to explore!
Through intuitive explanations, visual demonstrations, and hands-on exercises, you’ll learn how binary inputs are processed, how weights and bias influence outputs, and how a step activation function determines decisions. You’ll even perform your own AND gate calculations and understand how the perceptron learns by adjusting parameters based on error.This course is designed for students, educators, and enthusiasts eager to get started with machine learning fundamentals without diving into code-heavy content right away.
By the end of this course, you’ll have a solid conceptual foundation in neural networks and be well-prepared to move forward into more advanced AI topics like multi-layer perceptrons and deep learning.
Let your AI journey begin – right here, right now, with logic, learning, and a touch of neural magic!
Author(s): Minu Nagarajan
