Python Developer Program
Master Python programming with Django, FastAPI, and data science. Build AI/ML applications and web services.
Python Fundamentals & OOPs
Master the core Python language, syntax, and object-oriented programming concepts.
- Python Syntax, Variables, Data Types, and Operators
- Control Flow: If statements, loops, functions
- OOP in Python: Classes, objects, inheritance, encapsulation, polymorphism
- Exception Handling & File Handling
- Pythonic practices and code readability (PEP8)
- Tools: Jupyter Notebook, PyCharm, VS Code
Django Web Framework
Build robust, scalable web applications with Django.
- Django Project Structure, Models, Views, and Templates
- Admin Panel Customization
- Form Handling and Validation
- Authentication & Authorization
- CRUD Operations and ORM
- Building RESTful APIs with Django Rest Framework (DRF)
FastAPI & REST API Development
Create modern, high-performance APIs with FastAPI.
- FastAPI Basics: Routes, Request Handling, Path & Query Parameters
- Pydantic for Data Validation
- Authentication & JWT Authorization
- Swagger & OpenAPI Integration
- Asynchronous Programming with Async/Await
- Unit Testing FastAPI Apps
Database Design & PostgreSQL
Design efficient database schemas and interact with relational databases.
- Relational Database Concepts: Tables, Keys, Constraints
- SQL Basics: SELECT, INSERT, UPDATE, DELETE
- Joins, Subqueries, Views, Indexes
- PostgreSQL Functions & Performance Tuning
- Using PostgreSQL with Django ORM and SQLAlchemy
- Tools: pgAdmin, DBeaver
Data Science Basics & Machine Learning
Dive into data analysis and machine learning using powerful Python libraries.
- Pandas: DataFrames, data manipulation, filtering
- NumPy: Arrays, vectorized operations, broadcasting
- Matplotlib & Seaborn for Data Visualization
- Introduction to Scikit-learn: Classification, Regression
- Model Evaluation Metrics: Accuracy, Precision, Recall
- Exploratory Data Analysis (EDA)
Cloud Deployment (AWS/Azure)
Learn how to deploy and scale Python applications on the cloud.
- AWS EC2 & S3, Azure App Services
- Docker Basics, Dockerfile, docker-compose
- Deploying Django/FastAPI apps to cloud platforms
- Environment Variables, Gunicorn, Nginx setup
- CI/CD Pipeline Introduction
AI/ML Project Development
Capstone project that integrates all your Python, ML, and deployment skills.
- Real-world AI/ML project with end-to-end implementation
- Problem statement analysis and dataset preparation
- Model building, tuning, and validation
- Frontend + Backend integration (Full Stack)
- Deployment on Cloud using CI/CD
- Project documentation and presentation
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