Course Structure
Module 1: Python Fundamentals (10 sessions)
- Introduction to Python: History, Applications, First Program
- Variables and Data Types
- Operators and Expressions
- Control Structures (if/else)
- Loops (for, while)
- Functions: Definitions, Parameters, Return Values
- Lists and Tuples
- Dictionaries and Sets
- String Manipulation Techniques
- Error Handling and Exception Basics
Module 2: Intermediate Development (10 sessions)
- File Handling: Working with Data Files
- List Comprehensions and Generators
- Lambda Functions and Decorators
- Classes and Object-Oriented Programming
- Modularization and Advanced Exceptions
- Data Handling with CSV/JSON
- Data Visualization Basics
- API Consumption
- Unit Testing Fundamentals
- Intermediate Project: Data Aggregator
Module 3: Advanced Development (10 sessions)
- Working with Databases (SQLite/PostgreSQL)
- Web Development with Flask
- Building RESTful APIs
- Flask Blueprints and Jinja Templates
- Advanced Projects with Flask APIs
- Multithreading and Asynchronous Programming
- Machine Learning Foundations
- Introduction to Docker
- Deploying Python Apps
- Team-Based Project: REST API with Deployment
Module 4: Mastery and Specialization (10 sessions)
- Advanced Data Science Techniques
- Deep Learning Concepts (Intro to Neural Networks)
- Microservices Architecture
- Integrating External APIs
- Advanced Logging and Monitoring
- Enterprise-Level Security
- Code Optimization and Refactoring
- Continuous Integration and Delivery
- Final Project: Full-Stack Python Platform
- Presentation and Code Review
Specifications
Format: 1:1 & Group
Recommended Sessions: 40
Level: Intermediate