Module 1: Introduction to Artificial Intelligence

• What is Artificial Intelligence
• History of AI
• Types of AI
• AI vs Machine Learning vs Deep Learning
• AI in daily life
• Future of AI technology

Module 2: AI Fundamentals

• AI Terminology
• Data and AI relationship
• Introduction to Algorithms
• Supervised vs Unsupervised Learning
• Neural Networks basics
• AI in industries

Module 3: Machine Learning Basics

• What is Machine Learning
• Types of Machine Learning
• Data training and testing
• ML models overview
• Practical ML examples
• Introduction to Python for AI (Basic concepts)

Module 4: AI Tools & Platforms

Students will learn practical use of modern AI tools:

• ChatGPT
• Google Gemini
• AI image generation tools
• AI video generation tools
• AI content writing tools
• AI presentation tools
• AI coding assistants
• AI automation tools

Module 5: AI for Productivity & Business

• AI for marketing
• AI for content creation
• AI for office automation
• AI for customer support
• AI for social media management
• AI for education and teaching
• AI for small business

Module 6: AI Practical Applications

Hands-on training including:

• AI content writing
• AI image creation
• AI video creation
• AI presentation generation
• AI research tools
• AI data analysis basics
• AI automation workflows

Module 7: AI Project Work

Students will complete a practical project such as:

• AI chatbot project
• AI marketing project
• AI presentation system
• AI content generation project

5. Software & Tools Required

Students will learn to use the following platforms:

• ChatGPT
• Google Gemini
• Canva AI
• Microsoft Copilot
• Notion AI
• Runway AI
• Midjourney / Image AI tools
• Google AI tools

Hardware Requirements:

• Computer or Laptop
• Internet connection
• Basic browser