Introduction To Ai & Machine Learning

Master the fundamentals of Artificial Intelligence & Machine Learning with practical examples for real-world application

What you'll learn

Understand the fundamentals of Artificial Intelligence.

Differentiate between AI, Machine Learning, and Deep Learning.

Explore the main types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning.

Apply AI & ML concepts to practical, real-world examples.

Build a solid foundation for further advanced AI studies.

Requirements

No prior AI or Machine Learning experience required.

Basic computer skills.

Curiosity to learn and explore new technologies.

Description

Artificial Intelligence (AI) and Machine Learning (ML) are at the heart of the technological revolution shaping the 21st century. From intelligent virtual assistants to self-driving cars, AI and ML are transforming industries, enhancing decision-making, and redefining how we interact with the world.This comprehensive introductory course is designed for beginners and enthusiasts who want to gain a strong, practical, and conceptual understanding of AI and Machine Learning without feeling overwhelmed by complex mathematics or heavy programming at the start.We begin with the foundational concepts—exploring what AI truly is, how it differs from traditional computing, and why it is often called the “electricity” of our era. You’ll learn the core principles of machine learning, the different types of learning paradigms (supervised, unsupervised, and reinforcement), and the logic behind training machines to “think” and “learn” from data.Through real-world case studies and practical hands-on examples, we’ll bridge the gap between theory and application. You will not only understand how AI models are built but also see them in action—training your first models for prediction and classification, performing clustering to find patterns in data, and interpreting results for real-world decision-making.By the end of this course, you will:Have a clear understanding of AI & ML fundamentals.Recognize the key algorithms, processes, and workflows used in machine learning projects.Understand how to evaluate and interpret model results.Gain the confidence to pursue more advanced AI/ML projects or integrate AI-powered solutions into your work.This course is perfect for students, professionals, entrepreneurs, and anyone curious about the future of technology. No prior coding experience is necessary—just curiosity, commitment, and a willingness to explore one of the most exciting fields in the world today.

Overview

Section 1: Lecture 1 Introduction to AI & Machine Learning

Lecture 1 Lecture 1 Introduction to AI & Machine Learning

Section 2: Lecture 2 Introduction to AI & Machine Learning

Lecture 2 Lecture 2 Introduction to AI & Machine Learning

Section 3: Lecture 3 Introduction to AI & Machine Learning

Lecture 3 Lecture 3 Introduction to AI & Machine Learning

Section 4: Lecture 4 Practical Example 1

Lecture 4 Lecture 4 Practical Example 1

Section 5: Lecture 5 Practical Example 2

Lecture 5 Lecture 5 Practical Example 2

Students and professionals curious about AI & ML.,Beginners with little or no coding experience.,Researchers and analysts looking to integrate AI into their projects.,Entrepreneurs and decision-makers interested in AI-powered solutions.