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🤖 AI/ML Engineering

Python, NumPy, Pandas, Scikit-Learn, PyTorch, and building LLM-powered products.

24 weeks📊 Intermediate₹14-35 LPA
PythonNumPyPandasScikit-LearnPyTorchHuggingFaceLangChainFastAPI

Week-by-Week Plan

Week 1-4

Python & Math Foundations

  • Python OOP
  • NumPy arrays
  • Pandas DataFrames
  • Linear algebra basics
  • Probability & statistics
🏗️ Project: Data analysis on real dataset
NumPy DocsPandas Docs
Week 5-9

Classical ML

  • Regression & Classification
  • Decision Trees & Random Forests
  • SVM & KNN
  • Model evaluation (F1, ROC)
  • Scikit-Learn pipelines
🏗️ Project: Predict house prices
Scikit-LearnKaggle
Week 10-14

Deep Learning

  • Neural network basics
  • Backpropagation
  • PyTorch fundamentals
  • CNNs for images
  • RNNs & LSTMs
🏗️ Project: Image classifier with PyTorch
PyTorch Docsfast.ai
Week 15-19

LLMs & Generative AI

  • Transformer architecture
  • HuggingFace Transformers
  • Fine-tuning LLMs
  • LangChain & RAG
  • Prompt engineering
🏗️ Project: Build a RAG chatbot
HuggingFaceLangChain
Week 20-24

MLOps & Deployment

  • FastAPI for ML APIs
  • Model versioning (MLflow)
  • Docker for ML
  • AWS SageMaker basics
  • Portfolio projects
🏗️ Project: Deploy ML model as API
MLflowFastAPI

Jobs You Can Apply For

ML Engineer
AI Developer
Data Scientist
AI Researcher
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