Python Full Stack + AI 
Developer Program
(Python + Django + ReactJs + REST API + AI + Git)

Week 1: Introduction to Python

• Introduction to Python and setup

• Data types (int, float, str, bool, list, tuple, set, dict)

• Variables and basic operations

• Conditional statements (if, else, elif)

• Loops (for, while)

• Functions and scope

• Basic input/output

Week 3: Python Advanced Topics

• Advanced OOP concepts (inheritance, polymorphism, encapsulation, abstraction)

• Decorators and generators

• Iterators and comprehensions

• Working with *args and **kwargs

• Working with dates and times

• Lambda functions, map, filter, and reduce

Week 5: Introduction to Django

• Setting up Django environment

• Django project structure

• Creating your first Django app

• Understanding models, views, and templates (MVT pattern)

• Django admin interface

• URL routing and request handling

Week 7: Django Forms and User Authentication

• Creating and processing forms

• Form validation and custom validations

• Django user authentication system

• User registration, login, logout

• Password management and profile management

• Implementing user roles and permissions

Week 9: Introduction to REST APIs with Django Rest Framework (DRF)

• Introduction to RESTful principles

• Setting up Django Rest Framework

• Creating serializers and views

• Building simple APIs with DRF

• Handling GET, POST, PUT, DELETE requests

Week 11: Integrating Frontend with Django

• Setting up Django to serve ReactJS (or other frontend frameworks)

• Building a basic frontend interface

• Connecting frontend to Django backend via APIs

• Handling CORS issues

• Basic frontend-backend authentication integration

Week 13: Introduction to ReactJS

• Introduction to ReactJS and setup

• Understanding JSX

• Components, props, and state

• Functional vs. class components

• Handling events in React

• Conditional rendering

Week 15: Integrating React with REST APIs

• Fetching data from Django REST API

• Handling API calls with fetch and axios

• Managing loading and error states

• Displaying data in lists and tables

• Form submission to the backend

• Authentication in React using JWT (JSON Web Tokens)

Week 17: Introduction to AI & Machine Learning

• Understanding AI, Machine Learning (ML), and Deep Learning

• Supervised vs Unsupervised Learning

• Setting up AI development environments (Jupyter, Google Colab, TensorFlow, PyTorch)

• Python libraries for AI: NumPy, Pandas, Matplotlib, Scikit-Learn

• Data preprocessing & feature engineering

Week 19: Deep Learning & Neural Networks

• Introduction to Artificial Neural Networks (ANN)

• Understanding activation functions, forward & backward propagation

• Hands-on: Building a simple neural network using TensorFlow/Keras

• Introduction to Convolutional Neural Networks (CNN) for image recognition

• Hands-on: Implementing an image classifier

Week 2: Python Intermediate Concepts

• Lists, tuples, and dictionaries in depth

• List comprehensions

• String manipulation

• Exception handling

• Modules and packages

• File handling (reading/writing files)

• Introduction to object-oriented programming (OOP)

Week 4: Data Handling and Libraries

• Introduction to libraries: NumPy, Pandas

• Data analysis with Pandas

• Working with CSV, JSON, and Excel files

• Basic data visualization with Matplotlib and Seaborn

• Introduction to databases and MySQL in Python

Week 6: Django Models and Databases

• Defining models and fields

• Working with the Django ORM (Object-Relational Mapping)

• CRUD operations with Django models

• Migrations and database schema management

• Using MySQL and connecting to MySQL

• Querying the database

Week 8: Django Advanced Topics

• Django signals and middleware

• Static files and media files handling

• Customizing Django admin interface

• Pagination in Django

• Sending emails with Django

• Deploying Django applications (introduction)

Week 10: Advanced REST API Development

• Authentication and permissions in DRF

• Token-based authentication

• ViewSets and routers

• Pagination, filtering, and ordering in DRF

• Testing APIs with tools like Postman

Week 12: Git and Version Control

• Introduction to version control and Git

• Installing and configuring Git

• Git basic commands: init, clone, add, commit, push, pull

• Branching and merging in Git

• Working with GitHub: repositories, forking, pull requests

• Collaboration workflows with Git (e.g., Gitflow)

Week 14: ReactJS Advanced Concepts

• React component lifecycle methods (class components)

• Using useState and useEffect hooks

• Forms in React and handling input

• Lifting state up and component communication

• React Router for single-page applications (SPA)

• State management with Context API and basic Redux

Week 16: Capstone Project and Deployment

• Designing the app structure

• Backend: Building the API with Django

• Frontend: Creating the UI with React

• Integration: Connecting frontend with backend

• Version control with Git and GitHub

• Deploying the full-stack application (AWS, or other platforms)

• Final project presentation and review

Week 18: Machine Learning with Python

• Building regression and classification models (Linear Regression, Decision Trees, Random Forest, SVM)

• Model evaluation: Accuracy, Precision, Recall, F1-Score

• Hyperparameter tuning and cross-validation

• Hands-on: Building an ML model for real-world datasets

Week 20: AI in Automation & Real-World Applications

• NLP (Natural Language Processing) basics: Tokenization, Lemmatization, Sentiment Analysis

• Hands-on: Building a chatbot using Python & NLP

• AI in software testing: Visual testing, anomaly detection, self-healing automation

• Final project: Implementing an AI-driven application (e.g., chatbot, recommendation system, or automated testing suite)