Python Fundamentals
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  • Python Installation & Environment Setup
  • Variables, Data Types & Operators
  • Control Flow (if / else / loops)
  • Functions & Lambda Expressions
  • Exception Handling & Debugging
  • Working with Files
Advanced Python Concepts
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  • Lists, Tuples, Sets & Dictionaries
  • OOP Concepts (Class, Object, Inheritance)
  • Polymorphism & Encapsulation
  • Decorators & Generators
  • Modules & Packages
  • Virtual Environments & pip
Automation with Python
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  • Introduction to Automation
  • File & Folder Automation
  • Web Automation using Selenium
  • Browser Automation & Web Scraping
  • Email & WhatsApp Automation
  • Task Scheduling & Cron Jobs
Data Handling & APIs
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  • Working with CSV, Excel & JSON
  • API Concepts & REST APIs
  • API Integration using Requests
  • Authentication & Tokens
  • Real-time Data Fetching
Artificial Intelligence Basics
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  • Introduction to AI & Machine Learning
  • Supervised vs Unsupervised Learning
  • AI Use Cases in Automation
  • Model Training Concepts
  • Working with AI APIs
Machine Learning with Python
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  • NumPy & Pandas for Data Processing
  • Data Cleaning & Preprocessing
  • Scikit-learn Introduction
  • Regression & Classification Models
  • Model Evaluation & Accuracy
  • Basic Prediction Systems
AI Automation Projects
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  • AI-based Email Spam Detection
  • Chatbot using Python
  • Automated Data Analysis Tool
  • AI-powered Recommendation System
Deployment & Tools
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  • Version Control with Git & GitHub
  • Project Structuring Best Practices
  • Basic Deployment Concepts
  • Automation Scripts in Production
Capstone Project
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  • End-to-End Python AI Automation Project
  • Problem Statement & Planning
  • Automation + AI Integration
  • Testing & Optimization
  • Final Demo & Documentation