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AI Fundamentals for Everyone Without Coding and Math
New
Rating: 4.0 out of 5(1 rating)
40 students

AI Fundamentals for Everyone Without Coding and Math

Master AI Fundamentals: Weight, Features, Neural Networks and How Modern LLMs Work at the Backend without maths and code
Created byMuaawiya Hassan
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Understand the fundamentals of Artificial Intelligence and how it differs from traditional software.
  • Learn the difference between AI, Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
  • Understand how machine learning models learn from data using datasets, features, labels, weights, biases, and epochs.
  • Explore the fundamentals of Neural Networks and how they process information.
  • Learn why the Transformer architecture revolutionized modern AI.
  • Understand Tokens, Embeddings, and Context Windows.
  • Discover how AI models like ChatGPT and Claude generate responses step by step.
  • Learn the concepts of Pretraining, Fine-Tuning, and Reinforcement Learning from Human Feedback (RLHF).
  • Understand the strengths, limitations, and common challenges of modern AI, including hallucinations.
  • Build a strong theoretical foundation for advanced AI topics such as Prompt Engineering, AI Agents, and Machine Learning.

Course content

1 section • 23 lectures • 1h 0m total length

  • Introduction2:47
  • Lecture 13:59
  • Lecture 23:41
  • Lecture 33:32
  • Lecture 43:32
  • Lecture 51:28
  • Lecture 63:33
  • Lecture 73:41
  • Lecture 82:21
  • Lecture 92:37
  • Lecture 102:54
  • Lecture 111:54
  • Lecture 121:53
  • Lecture 132:46
  • Lecture 141:26
  • Lecture 151:59
  • Lecture 161:27
  • Lecture 172:00
  • Lecture 185:58
  • Lecture 191:14
  • Lecture 202:50
  • Lecture 212:37
  • Lecture 220:37

Requirements

  • Curiosity and a willingness to learn are the only prerequisites.
  • A basic understanding of how to use a computer and the internet is sufficient.
  • No prior knowledge of Artificial Intelligence or Machine Learning is needed.
  • No advanced mathematics is required.
  • No programming experience is required.

Description

Artificial Intelligence is transforming every industry—but most people use AI tools without understanding how they actually work.

This course is designed to give you a strong conceptual foundation in modern AI without requiring programming experience or advanced mathematics.

You'll learn the core principles behind Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Transformers, Tokens, Embeddings, and Large Language Models (LLMs). By the end of the course, you'll understand how AI systems like ChatGPT and Claude generate responses and why they behave the way they do.

Unlike many AI courses that focus only on using tools, this course explains the theory behind today's most powerful AI technologies in a clear, beginner-friendly way.

What You'll Learn

  • Understand the fundamentals of Artificial Intelligence

  • Learn the difference between AI, Machine Learning, Deep Learning, and Generative AI

  • Explore how Machine Learning models learn from data

  • Understand Neural Networks and their architecture

  • Learn why Transformers revolutionized modern AI

  • Discover how Tokens, Embeddings, and Context Windows work

  • Understand how Large Language Models (LLMs) generate responses

  • Learn about Pretraining, Fine-Tuning, and Reinforcement Learning from Human Feedback (RLHF)

  • Explore AI limitations, including hallucinations and context limits

  • Build a strong theoretical foundation for advanced AI topics

This Course Is For

  • Beginners who want to understand AI from the ground up

  • Students interested in Artificial Intelligence and Machine Learning

  • Professionals using AI tools like ChatGPT or Claude

  • Anyone who wants to understand how modern AI actually works before learning the practical side

No Prior Experience Required

You don't need programming skills, a computer science background, or advanced mathematics. Every concept is explained using simple language, practical analogies, and easy-to-follow examples.

Whether you're preparing to learn Prompt Engineering, AI Agents, Machine Learning, or simply want to understand the technology shaping the future, this course will provide the knowledge you need to build with confidence.

Start your AI journey today and discover how modern Artificial Intelligence really works.

Who this course is for:

  • Beginners who want to understand how modern AI actually works.
  • Students interested in Artificial Intelligence and Machine Learning.
  • Professionals using AI tools like ChatGPT, Claude, or Gemini who want to understand the technology behind them.
  • Anyone planning to learn Prompt Engineering, AI Agents, or Machine Learning in the future.
  • Anyone curious about the concepts powering today's most advanced AI systems.

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