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This syllabus is designed for a comprehensive Python internship program that covers Core Python, Django, and a web project development using HTML, Bootstrap, Django, MySQL, and deployment on a cloud platform such as AWS. The program is structured to provide a well-rounded learning experience, starting from the basics and progressing to advanced topics and hands-on project work.

Diagram of a Django web application architecture deployed on AWS. The user sends HTTP/HTTPS requests to a front-end template (Bootstrap, JavaScript, CSS/HTML). The template interacts with Django Views, which connect to the Model, and then to a MySQL database via PDBC
Figure: Architectural Structure of Python Fullstack

Module 1: Introduction to Python (Weeks 1-4)

  • Week 1: Python Basics
    • Overview of Python
    • Setting up the development environment
    • Variables, Data Types, and Operators
    • Control Flow Statements (if, for, while)
    • Functions and Modules
  • Week 2: Data Structures and Libraries
    • Lists, Tuples, Dictionaries, and Sets
    • String Manipulation
    • File Handling
    • Introduction to Libraries: NumPy, Pandas
  • Week 3: Object-Oriented Programming (OOP)
    • Classes and Objects
    • Inheritance and Polymorphism
    • Encapsulation and Abstraction
    • Exception Handling
  • Week 4: Advanced Python Concepts
    • List Comprehensions
    • Lambda Functions
    • Decorators and Generators
    • Working with JSON and CSV files

Module 2: Web Development with Django (Weeks 5-8)

  • Week 5: Introduction to Django
    • Setting up Django environment
    • Understanding Django project structure
    • Creating a simple Django application
    • Models, Views, and Templates (MVT pattern)
  • Week 6: Working with Django
    • Forms and Form Handling
    • URL Routing and Requests
    • Database Migrations
    • Admin Interface
  • Week 7: Django REST Framework
    • Introduction to REST APIs
    • Setting up Django REST Framework
    • Creating Serializers
    • Building API Views and Viewsets
  • Week 8: Advanced Django Topics
    • Authentication and Authorization
    • Middleware
    • Django Signals
    • Optimizing Queries and Performance

Module 3: Project Development and Deployment (Weeks 9-12)

  • Week 9: Project Planning and Setup
    • Project Requirement Analysis
    • Setting up the Project Repository (Git)
    • Designing the Database Schema
    • Creating Initial Django Models and Migrations
  • Week 10: Project Development
    • Developing Core Features using Django
    • Implementing REST APIs
    • Integrating Frontend (Optional)
    • Writing Unit Tests
  • Week 11: Containerization with Docker
    • Introduction to Docker
    • Creating Dockerfiles for Django Application
    • Building and Running Docker Containers
    • Docker Compose for Multi-Container Applications
  • Week 12: Deployment and CI/CD with Jenkins and AWS
    • Introduction to AWS (EC2, S3, RDS)
    • Setting up an AWS EC2 Instance
    • Deploying Docker Containers to AWS
    • Setting up Jenkins for CI/CD
    • Automating Deployment Pipelines with Jenkins

Project: Full Stack Application Development and Deployment

Objective: Develop a full-stack application using Django for the backend and deploy it on AWS using Docker and Jenkins.

  • Steps:
    • Requirement Analysis and Project Planning
    • Backend Development with Django
    • API Development with Django REST Framework
    • Containerization with Docker
    • Deployment on AWS EC2
    • Continuous Integration and Continuous Deployment (CI/CD) with Jenkins

Outcome: By the end of this internship, participants will have hands-on experience with Python programming, Django web development, REST API creation, Docker containerization, and deployment using AWS and Jenkins.

Why is a Python Internship necessary ?

  • Practical Experience: Gain hands-on experience by working on real projects and collaborating with experienced Python developers.
  • Career Opportunities: Python skills are highly sought after in various industries, offering diverse career opportunities in software development, data science, web development, and more.
  • Flexible Learning: Python's versatility makes it suitable for a wide range of applications, making it an invaluable skill for professionals in different domains.
  • Community Support: Python has a large and active community, providing ample resources, tutorials, and support for learners and professionals.

Whether you're a student looking to gain practical experience or a professional seeking to advance your Python skills, participating in a Python internship can provide valuable opportunities for growth and development in your career.

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