AI Project Cycle in 10 Minutes | All 6 Stages Explained | CBSE Class 10 AI Unit 1

The AI Project Cycle explained the easy way, using something you already know: preparing for your board exams. In this lesson (CBSE Class 10 Artificial Intelligence, Subject Code 417, Unit 1.1) you'll learn what AI is, and then walk through all 6 stages of the AI Project Cycle with two running examples: a hospital predicting heart-disease risk, and your own board exam preparation. What you'll learn: ✅ What AI is, with everyday examples (voice assistants, maps, face unlock) ✅ Problem Scoping and the 4W Problem Canvas (Who, What, Where, Why) ✅ Data Acquisition: data sources, good data, data privacy ✅ Data Exploration: patterns, outliers and cleaning data ✅ Modelling: rule-based vs learning-based models ✅ Evaluation: training set vs testing set, accuracy ✅ Deployment and monitoring ✅ Iteration: why the cycle isn't a straight line ⏱️ Chapters 0:00 What is AI? 0:55 How are AI projects built? 1:48 Stage 1: Problem Scoping (4W Canvas) 3:05 Stage 2: Data Acquisition 4:29 Stage 3: Data Exploration 5:41 Stage 4: Modelling 7:06 Stage 5: Evaluation 8:38 Stage 6: Deployment 9:54 Putting it all together 10:50 Iteration 📚 Full course with practice questions: [Udemy link] 🔔 Subscribe for the rest of the Class 10 AI series: [channel link] #CBSEClass10AI #AIProjectCycle #ArtificialIntelligence ━━━━━━━━━━━━━━━━━━━━ 📄 FREE one-page note for this lesson (printable): [LINK] 📚 Full playlist — CBSE Class 10 Artificial Intelligence: [LINK] ━━━━━━━━━━━━━━━━━━━━ SkillianLab teaches the complete CBSE Class 10 Artificial Intelligence syllabus (Subject Code 417) — concepts, no-code labs, and exam-ready answers. New video every week. Got a question? Ask in the comments. I read them. #CBSEClass10 #ArtificialIntelligence #Class10AI