Module 1: Introduction to Python

• Understanding Python’s history and significance
• Setting up Python development environment
• Writing your first Python program
• Variables, data types, and operators
• Control flow and decision-making

Module 2: Object-Oriented Programming (OOP) in Python

• OOP principles: Encapsulation, Inheritance, Polymorphism, Abstraction
• Classes and objects
• Constructors and methods
• Inheritance and interfaces
• Exception handling

Module 3: Python Fundamentals

• Lists, tuples, and dictionaries
• String manipulation and regular expressions
• File I/O operations
• Date and time handling
• Working with Python libraries

Module 4: Advanced Python Concepts

• Functional programming in Python
• Generators and iterators
• Decorators and context managers
• Threading and multiprocessing
• Unit testing with unittest

Module 5: Web Development with Python

• Introduction to web development with Flask/Django
• Routing and handling HTTP requests
• Templating and form handling
• Database integration with SQLAlchemy/Django ORM
• Building RESTful APIs

Module 6: Data Science and Analytics with Python

• Data manipulation with pandas
• Data visualization with Matplotlib and Seaborn
• Introduction to machine learning with scikit-learn
• Exploratory data analysis (EDA)
• Basic statistics and hypothesis testing

Module 7: Database Integration

• Connecting Python applications to databases
• SQL queries and database management
• ORM (Object-Relational Mapping) with SQLAlchemy/Django ORM
• Database design and normalization

Module 8: Web Scraping and Automation

• Introduction to web scraping with BeautifulSoup and requests
• Scraping dynamic websites with Selenium
• Building web automation scripts
• Handling APIs and JSON data

Module 9: GUI Programming with Python

• Introduction to Tkinter/PyQt
• Designing graphical user interfaces (GUIs)
• Event handling and user interaction
• Building desktop applications

Module 10: Cloud Computing and Deployment

• Deploying Python applications to the cloud (e.g., AWS, Heroku)
• Containerization with Docker
• Continuous integration and deployment (CI/CD)
• Scalability and serverless computing

Module 11: Data Science Libraries

• Advanced data manipulation with NumPy
• Machine learning libraries like TensorFlow and Keras
• Natural Language Processing (NLP) with NLTK and spaCy
• Deep learning concepts and frameworks

Module 12: Advanced Web Development

• Advanced topics in web development (e.g., authentication, authorization)
• Building full-stack applications
• Microservices architecture
• Web security best practices

Module 13: Real-World Projects

• Collaborative project work
• Building scalable and maintainable applications
• Best practices and coding standards
• Project management and teamwork

Module 14: Job Readiness

• Resume building and interview preparation
• Soft skills and communication
• Networking and job search strategies
• Mock interviews and feedback
• Preparing for coding assessments

Module 15: Capstone Project

• Working on a significant real-world Python project
• Applying learned skills and concepts
• Demonstrating problem-solving abilities
• Preparing a project presentation

Module 16: Job Placement Assistance

• Job search support and guidance
• Interview scheduling and coaching
• Connecting with potential employers
• Job offer negotiation tips

Module 17: Career Development

• Advancing your career in Python programming
• Keeping up with industry trends
• Continuing education opportunities
• Mentoring and professional growth

Module 18: Certification Preparation

• Preparing for Python certification exams (e.g., Python Institute certifications)
• Practice exams and exam-taking strategies
• Review of key Python concepts and topics

Module 19: Industry-Specific Applications

• Python in finance, data analysis, cybersecurity, etc.
• Case studies and practical applications
• Industry-specific best practices

Module 20: Job Guarantee and Post-Placement Support

• Job guarantee and placement support
• Post-placement mentorship and guidance
• Advancing your career in Python programming
• Alumni network and ongoing support