📅 WEEK 1: AI Fundamentals & Core Concepts
Day 1: Introduction to Artificial Intelligence

What is Artificial Intelligence?

History & evolution of AI

Human Intelligence vs Machine Intelligence

Types of AI:

Narrow AI

General AI

Super AI

Myths & facts about AI

Activity: Identify AI used in daily life (Google, Alexa, Netflix)

Day 2: How AI Works

Basic AI workflow:

Data → Algorithm → Model → Prediction

Role of data in AI

Introduction to algorithms

AI vs Automation vs Programming

Activity: Simple AI workflow diagram

Day 3: Introduction to Machine Learning

What is Machine Learning?

Types of ML:

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Examples:

Spam detection

Recommendation systems

Day 4: Deep Learning Basics

What is Deep Learning?

Neural Networks (simple idea)

Human brain vs Artificial Neural Network

Applications of Deep Learning

Demo: Image recognition example (Google Teachable Machine)

Day 5: AI Tools & Platforms

Popular AI tools:

ChatGPT

Google Teachable Machine

DALL·E / Image generators

AI in education, healthcare, business

No-code AI platforms overview

Hands-on: Create a simple AI model using Teachable Machine

📅 WEEK 2: AI Applications, Ethics & Mini Project
Day 6: Natural Language Processing (NLP)

What is NLP?

How machines understand language

Applications:

Chatbots

Voice assistants

Translation tools

Activity: Chatbot interaction analysis

Day 7: Computer Vision

What is Computer Vision?

Image vs Video processing

Face detection & object detection

Real-world examples:

CCTV

Self-driving cars

Demo: AI image recognition tool

Day 8: AI Ethics & Future of AI

Ethical issues in AI:

Bias

Privacy

Job impact

Responsible AI

Future trends in AI

AI career paths

Discussion: Can AI replace humans?

Day 9: Mini AI Project (Implementation)

Project Options (choose one):

AI Image Classifier

AI Chatbot (No-code tool)

AI Voice Recognition Demo

AI Recommendation Concept

Problem statement

Tool selection

Model training

Testing & improvement

Day 10: Project Presentation & Assessment

Project demonstration

Explanation of AI concept used

Viva / Q&A

Feedback & improvement tips

📘 Assessment & Evaluation

Quiz (MCQs & True/False)

Mini Project (40%)

Participation (20%)

Final Presentation (40%)