AI & Automation

Python Programming Crash Course (3 Months)

Unlock a world of possibilities with our comprehensive 3-month Python programming course. Whether you’re a complete beginner…

Unlock a world of possibilities with our comprehensive 3-month Python programming course. Whether you’re a complete beginner or looking to solidify your coding fundamentals, this immersive program will equip you with the skills to confidently build applications, analyze data, and automate tasks.

What You’ll Learn

Our expertly crafted curriculum covers the core concepts and essential tools you need to become a proficient Python developer. Over 12 weeks, you’ll dive deep into:

  • Week 1-3: Python Fundamentals & Data Structures

    • Getting Started: Setting up your Python environment, understanding basic syntax, variables, and data types (numbers, strings, booleans).
    • Control Flow: Mastering if/else statements, for and while loops for decision-making and repetition.
    • Essential Data Structures: Working with Lists, Tuples, Sets, and Dictionaries – the building blocks for organizing your data.
    • String Manipulation: Powerful techniques for handling and processing text.
  • Week 4-6: Functions, Modules & Object-Oriented Programming (OOP)

    • Functions: Writing reusable blocks of code, understanding parameters and return values, and creating modular programs.
    • Modules & Packages: Organizing your code and leveraging Python’s rich ecosystem of pre-built functionalities.
    • Introduction to OOP: Grasping the core concepts of Classes, Objects, Encapsulation, and Inheritance to write elegant and maintainable code.
  • Week 7-9: Error Handling, File I/O & Practical Applications

    • Error Handling: Learning to gracefully manage errors and exceptions using try-except blocks.
    • File Operations: Reading from and writing to various file types (text, CSV, JSON) – essential for data interaction.
    • Introduction to Libraries: Getting hands-on with popular libraries for common tasks.
    • Project 1: Data Processing Script: Apply your knowledge to a practical data manipulation project.
  • Week 10-12: Advanced Concepts & Real-World Projects

    • Database Interaction (e.g., SQLite): Connecting Python to databases to store and retrieve information.
    • Introduction to Web Development (Flask/Django basics): Building simple web applications and understanding web frameworks.
    • Introduction to Data Analysis (NumPy/Pandas basics): Exploring Python’s power for data manipulation and analysis.
    • Final Capstone Project: Develop a significant project that showcases your end-to-end Python programming skills, ready for your portfolio.

Why Choose Our Course?

  • Hands-on Learning: We believe in learning by doing. Our course is packed with coding exercises, assignments, and real-world projects.
  • Expert Instructors: Learn from experienced developers who provide practical insights and personalized guidance.
  • Structured Curriculum: A clear, progressive learning path designed to build your skills step-by-step.
  • Career-Ready Skills: Gain the foundational knowledge to pursue roles in web development, data science, automation, and more.
  • Small Class Sizes (for in-person/live online): Get the individualized attention you need to succeed.
  • Dedicated Support: Our instructors and teaching assistants are here to help you every step of the way.

Who is this Course For?

  • Beginners with no prior coding experience.
  • Students looking to build a strong foundation in programming.
  • Professionals from non-technical backgrounds seeking to transition into tech.
  • Anyone interested in data analysis, web development, or automation with Python.
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Course Curriculum

Module 1:Python Fundamentals & Data Handling

  • Python Basics for AI
  • Essential Libraries for Data Science

Module 2: Machine Learning Fundamentals

Module 3:Introduction to AI, Deep Learning & Project Implementation

Final Project
Capstone Project: Work on an end-to-end AI/ML project. Possible project ideas include: House Price Prediction using Regression. Spam Email Classifier. Customer Churn Prediction. Basic Image Classifier (e.g., for handwritten digits or simple objects). Sentiment Analyzer for movie reviews.

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