Introduction to AI 2-week

📅 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)

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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

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Day 3: Introduction to Machine Learning

• What is Machine Learning?

• Types of ML:

  • Supervised Learning

  • Unsupervised Learning

  • Reinforcement Learning

• Examples:

  • Spam detection

  • Recommendation systems

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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)

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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

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📅 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

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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

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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?

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Day 9: Mini AI Project (Implementation)

Project Options (choose one):

1. AI Image Classifier

2. AI Chatbot (No-code tool)

3. AI Voice Recognition Demo

4. AI Recommendation Concept

• Problem statement

• Tool selection

• Model training

• Testing & improvement

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Day 10: Project Presentation & Assessment

• Project demonstration

• Explanation of AI concept used

• Viva / Q&A

• Feedback & improvement tips

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📘 Assessment & Evaluation

• Quiz (MCQs & True/False)

• Mini Project (40%)

• Participation (20%)

• Final Presentation (40%)