52-Chapter AI Curriculum
From zero to AI mastery — including ChatGPT, Claude, Qwen, Prompt Engineering, and production deployment.
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Section 1: AI Foundations
Chapters 1–6
What is AI
AI History & Evolution
Types of AI
Python Basics
AI Tools Setup
Mini Project
📊
Section 2: Machine Learning
Chapters 7–14
ML Fundamentals
Data Processing
Regression & Classification
Clustering
Feature Engineering
ChatGPT Mastery
ML Pipeline Project
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Section 3: Deep Learning
Chapters 15–22
Neural Networks
TensorFlow & Keras
CNNs
Transfer Learning
RNNs & LSTM
Claude AI Mastery
Qwen & Gemini
DL Project
💬
Section 4: NLP & AI Tools
Chapters 23–30
NLP Basics
Transformers
Prompt Engineering
Advanced Prompting
Chatbot Building
Sentiment Analysis
Indian Languages NLP
AI Assistant Project
👁️
Section 5: Computer Vision
Chapters 31–36
Image Recognition
Object Detection (YOLO)
Image Segmentation
Video Analysis
AI Image Generation
CV App Project
🎨
Section 6: Generative AI
Chapters 37–42
GANs
Stable Diffusion
LLMs Deep Dive
RAG Systems
Fine-Tuning Models
GenAI App Project
🚀
Section 7: AI in Production
Chapters 43–48
MLOps
FastAPI
Cloud Deployment
AI Monitoring
AI Agents
Production System Project
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Section 8: Ethics & Mastery
Chapters 49–52
AI Ethics
AI for India
Capstone Planning
Graduation 🎓