CERTIFICATE IN ARTIFICIAL INTELLIGENCE (AI) ( S-AI202501 )

Module 1: Introduction to AI 1 Week

• What is Artificial Intelligence?
• Difference: AI vs ML vs DL
• History & Evolution of AI
• Categories of AI: Narrow AI, General AI, Super AI
• Importance of AI in today’s world

Module 2: Core Concepts of AI

• Data: The fuel of AI
• Algorithms: What makes machines learn
• Supervised vs Unsupervised Learning
• Basic model lifecycle: Data → Training → Prediction

Module 3: Applications of AI in Real Life

• Chatbots & Virtual Assistants (e.g., Siri, Alexa)
• Healthcare (Diagnosis, Drug Discovery)
• Finance (Fraud Detection, Trading Bots)
• E-commerce (Recommendation Engines, Customer Analytics)
• Transportation (Self-driving cars, Route Optimization) Module

4: GenAI & Modern AI Tools

• What is Generative AI?
• ChatGPT, Copilot, Gemini: Use Cases for Students & Professionals
• Tools for AI without coding: Microsoft Copilot, ChatGPT, Claude, Canva AI
• Hands-on Demo: Text summarization Image generation Code writing Data analysis prompts 

Should be 10th Passed