Ai Made Easy I: Learn The Foundations


Ai Made Easy I: Learn The Foundations
Ai Made Easy I: Learn The Foundations
Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Clear, intuitive, and engaging AI courses built for curious minds, with no AI or coding background required

What you’ll learn

A true beginner-friendly course, thoughtfully designed for curious minds of all ages whether you’re a student, a busy professional, or a lifelong learner.

No background required. You don’t need to know AI, coding, or advanced math to follow along and succeed.

Even if you’ve learned some AI before, this course will help you connect the dots, fill in knowledge gaps, and build a clearer, deeper understanding.

Build a rock-solid foundation in AI-gain practical, intuitive understanding of core concepts, how AI systems actually work, and what’s behind the tools.

Discover the evolution of AI and how it became today’s powerful force.

Understand what Deep Neural Networks (DNNs) are and how they function. Learn how AI models are trained, validated, and improved over time.

Demystify key AI terms like hallucinations, hidden layers, and feedforward. Understand concepts like linear transformation and activation functions.

Explore how data and compute power drive every modern AI system.

See behind the curtain. Understand what happens when you use ChatGPT, Sora, Gemini, and other famous tools.

You’ll be able to use these concepts more intelligently and confidently.

Set the stage for advanced topics. After this course, you’ll be ready to explore areas like large language models (LLMs), RNN, RAG and more with confidence.

Requirements

NO previous knowledge of AI, NO coding experience, and NO advanced math

Description

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: AI: Then, Now, and Under the Hood

Lecture 2 The Rise of AI

Lecture 3 Inside AI

Section 3: Deep Neural Networks

Section 4: Data Representation in AI

Lecture 5 What AI Really Sees

Section 5: Training AI Models

Lecture 6 Training and Validation of AI Models

Section 6: Wrap up

Lecture 7 Conclusion

A beginner-friendly course designed for curious minds of all ages, whether you’re a busy professional, a student, or a lifelong learner.

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