Courses Descriptions
π How Students Will Feel
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βNow I know how AI is actually builtβ
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βI can train models using real codeβ
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βI understand AI like an engineer, not just a userβ
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βIβm ready for advanced AI & data scienceβ
π― How We TeachΒ
β Visual understanding β Python implementation β real projects
β Math intuition, not heavy formulas
β 75β80% hands-on learning
β Industry-aligned concepts explained simply
β Focus on problem-solving & thinking skills
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π WHAT STUDENTS ACHIEVE
After completing this course, students can:
β Build ML models using Python
β Understand core ML algorithms deeply
β Analyze & visualize real data
β Build neural network-based applications
β Think ethically about AI
β Transition confidently to Advanced AI / Data Science / Robotics AI
π© Sessions 1β2: AI & ML Recap + Readiness Check
60:00:00
π© Sessions 3β4: Types of Machine Learning
60:00:00
π© Sessions 5β6: Understanding Data Like a Pro
60:00:00
π© Sessions 7β8: Data Cleaning & Preparation
60:00:00
π© Sessions 9β10: Measuring Model Performance
60:00:00
π¦ Classification Models (Sessions 11β18)
60:00:00
π¦ Regression Models (Sessions 19β24)
60:00:00
π¦ Clustering & Pattern Discovery (Sessions 25β30)
60:00:00
π© Sessions 31β34: Python for Data Science
60:00:00
π© Sessions 35β38: Data Visualization
60:00:00
π© Sessions 39β42: Training ML Models in Python
60:00:00
π© Sessions 43β45: Improving ML Models
60:00:00
π§ Sessions 46β48: How Neural Networks Work
60:00:00
π§ Sessions 49β51: Image Recognition with CNNs
60:00:00
π§ Sessions 52β54: Natural Language Processing
60:00:00
π§ Sessions 55β56: Recommendation Systems
60:00:00
π§ Sessions 57β58: Ethics & Responsible AI
60:00:00
π© Sessions 59β60: AI in Healthcare
60:00:00
π© Sessions 61β62: AI in Smart Cities
60:00:00
π© Sessions 63β64: AI in Finance & Business
60:00:00
π© Sessions 65β66: AI in Robotics & IoT
60:00:00
π¨ Session 67: Problem Selection & Planning
60:00:00
π¨ Sessions 68β69: Data Collection & Model Training
60:00:00
π¨ Session 70: Model Testing & Optimization
60:00:00
π¨ Session 71: Deployment (Basic App/Web Demo)
60:00:00
π¨ Session 72: Demo Day & Certification
60:00:00