📘 3 महीने में AI सीखें – Hindi में Beginner to Intermediate Roadmap
अगर आप आर्टिफिशियल इंटेलिजेंस (AI) सीखना चाहते हैं और शुरुआत नहीं कर पा रहे, तो ये 3 महीने का फ्री कोर्स शेड्यूल आपके लिए है। यहां Python, Machine Learning और Deep Learning को धीरे-धीरे हिंदी में सीखने की पूरी गाइड दी गई है – वो भी प्रोजेक्ट्स के साथ!
🗓️ Month 1: Python + Math + AI Basics
🔸 Week 1: Python Programming Basics
- Variables, Loops, Functions
- Lists, Dictionaries
- If/Else Conditions
🔸 Week 2: Python Advance + NumPy/Pandas
- File Handling, Modules
- NumPy (Arrays, Math Ops)
- Pandas (DataFrames, CSV read/write)
🔸 Week 3: Math for AI
- Matrix (Linear Algebra)
- Probability Basics
- Mean, Median, Variance (Statistics)
🔸 Week 4: Intro to AI & ML
- What is AI, ML, DL?
- Types of Machine Learning
- Real-life Examples
🗓️ Month 2: Machine Learning Algorithms
🔸 Week 5: Data Preprocessing
- Missing values, Label encoding
- Train/Test split
🔸 Week 6: Regression Algorithms
- Linear Regression
- Polynomial Regression
🔸 Week 7: Classification Algorithms
- KNN
- Decision Trees
- Random Forest
🔸 Week 8: Model Evaluation
- Accuracy, Confusion Matrix
- Cross Validation
- Bias-Variance Tradeoff
🗓️ Month 3: Deep Learning + Projects
🔸 Week 9: Neural Networks
- Neuron, Layers, Activation Functions
- Forward + Backward Propagation
- TensorFlow Intro
🔸 Week 10: CNNs (Computer Vision)
- Image Classification
- MNIST Digit Recognition
🔸 Week 11: NLP (Natural Language Processing)
- Text Cleaning
- Sentiment Analysis
- Bag of Words, TF-IDF
🔸 Week 12: Final Projects
- Face Mask Detection
- Chatbot using NLP
- House Price Prediction
- Spam Email Classifier
🔹 Upload projects to GitHub
🔹 Write a blog on Medium or LinkedIn
🎁 Final Tips:
- ✅ रोज़ 2-3 घंटे टाइम दीजिए
- ✅ खुद के नोट्स बनाइए
- ✅ GitHub पर कोड अपलोड कीजिए
- ✅ Projects ज़रूर कीजिए – वही आपका Portfolio बनाते हैं
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