Artificial Intelligence Explained from Scratch???? | AI Basics to ML, DL & RL | Beginner to Pro Seri

Artificial Intelligence is everywhere. From Google Maps and Instagram to Netflix and self driving cars.
But most students use AI daily without understanding how it actually works.

This video is the starting point of our AI Mastery Series, where we go from absolute basics to advanced AI concepts, explained in a simple, structured, beginner friendly way.

In this episode, you will clearly understand how AI evolved, how different AI systems work, and how Machine Learning and Deep Learning actually differ from traditional programming.

???? Here is what we cover in this video. Your most asked questions answered clearly.

• Where AI is used in daily life
• Complete AI Domain Family Chart
• Rule Based Systems with real life example
• Fuzzy Logic Systems explained simply
• Basics of Robotics with examples
• What is Machine Learning and how it works
• Training vs Inference explained clearly
• Traditional Programming vs Machine Learning
• Statistical Machine Learning with example
• Classification explained. Binary and Multiclass
• Regression with real world use cases
• Basics of Deep Learning and Neural Networks
• Supervised Learning with example
• Unsupervised Learning with example
• Clustering explained simply
• Anomaly and Outlier Detection
• Association Rule Learning
• Reinforcement Learning explained intuitively

???? Why This Series Matters

Most students jump directly into tools like ChatGPT without understanding the fundamentals behind AI.

Without strong basics
• You cannot build AI systems
• You cannot debug AI outputs
• You cannot grow beyond prompt usage

This series builds real AI understanding, not surface level tool usage.

⏱ Timestamps

00:00 Intro
00:35 AI and where we use them daily
01:37 Definition of AI
01:58 AI Domain Family Chart
02:55 Rule Based Systems with example
03:53 Fuzzy Logic Systems with example
04:34 Basic Robotics explained
05:20 Machine Learning with example
05:35 Training vs Inference
06:39 Traditional Systems vs ML
07:13 Statistical Machine Learning
07:38 Classification. Binary and Multiclass
08:55 Regression with example
10:09 Deep Learning and Neural Networks
11:26 Supervised Learning
12:46 Unsupervised Learning
13:26 Clustering explained
15:15 Association Rule Learning
16:00 Reinforcement Learning

???? What’s Next in This Series

Upcoming videos will cover
• Deep Learning
• Neural Networking & Its Architectures
• Breakdown of AI, LLM, AI Agents, Agentic AI
• Python for AI

????R&D & Script By - Chandhan
????Edit - Madhumitha

✨ Subscribe to CodeHunters Academy for structured AI learning, beginner friendly explanations, and career focused tech education in Tamil and English.

#ArtificialIntelligence #AIForBeginners #MachineLearning #DeepLearning #NeuralNetworks #AIExplained #LearnAI #AIBasics #MLBasics #DLBasics #TechLearning #StudentDevelopers #EngineeringLife #FutureSkills #AIJourney #CodeHuntersAcademy #DasAndCode #AIFromScratch