Full Stack Python Development with AI

Python

Full Stack Python Development with AI

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22
120h
256
(4.36)

Become a job-ready full stack Python developer — with AI built into how you work.

This Full Stack Python with AI course at Mahaniya Technology Solutions, Ameerpet, takes you from Python basics to building and deploying complete web applications. You will learn core and advanced Python, databases, front-end development with HTML, CSS, JavaScript and React, and back-end development with Django and Flask. Because Python is the language of AI, you will also work with machine learning basics and AI APIs, and use AI tools to write and debug code faster.

The course is fully hands-on. You will build real projects, follow industry practices, and finish with a portfolio and interview confidence. It suits absolute beginners, graduates and working professionals looking to move into development or data-focused roles.

Delivered by working industry experts at our Ameerpet centre, with an online option, and includes doubt-clearing sessions, interview preparation and placement support.

What Will You Learn?

Write clean Python using functions and OOP
Work with databases using SQL from Python
Build responsive front-ends with HTML, CSS, JavaScript and React
Develop back-ends and REST APIs with Django and Flask
Connect front-end and back-end into a complete full stack app
Apply Python for AI/ML basics and integrate AI APIs
Use Git, Docker and deploy to the cloud
Build a portfolio project and clear technical interviews

Course Curriculum

Programming Foundations & Core Python

How the web works — front-end, back-end and databases
Installing Python, VS Code/PyCharm and your first program
Variables, data types and operators
Control flow — if/else, loops
Functions, lists, tuples, sets and dictionaries
Using AI assistants (Copilot/ChatGPT) to learn and debug code

Advanced Python & OOP

Object-oriented programming — classes and objects
Inheritance, polymorphism and encapsulation
Modules, packages and virtual environments
Exception handling and file handling
Working with libraries (pip) and useful standard modules

Databases with SQL

Relational database concepts
MySQL/PostgreSQL setup and CRUD queries
Joins, keys, indexes and constraints
Connecting Python to a database

Front-End Development

HTML5 structure and semantic elements
CSS3 styling, Flexbox and Grid
Responsive design and Bootstrap
JavaScript fundamentals and the DOM
ES6+ and fetch/AJAX

React JS (Modern Front-End)

React setup, components and JSX
Props, state and hooks
Routing and forms
Consuming REST APIs from React

Back-End with Django

Django project structure and setup
Models, migrations and the admin panel
Views, templates and URL routing
Forms, authentication and sessions
Django ORM in depth

REST APIs with Django REST Framework & Flask

Building REST APIs with Django REST Framework
Serializers, viewsets and authentication (JWT)
Introduction to Flask for lightweight APIs
API testing with Postman

Building the Full Stack App

Connecting the React front-end to the Python back-end
End-to-end authentication and authorisation
Testing your application (pytest basics)
Project structure and best practices

AI & Machine Learning with Python

Python for data — NumPy and Pandas basics
Introduction to machine learning concepts
Calling AI/LLM APIs from a Python app
Adding an AI feature (chatbot / smart search) to your project
Prompt engineering for developers

Version Control, DevOps & Deployment

Git and GitHub workflow
Environment management and requirements.txt
Docker basics and containerising the app
Deploying to the cloud (AWS/Azure) and CI/CD overview

Capstone Project, Interview Prep & Placement

Plan and build a real-world full stack project
Code review and portfolio/GitHub polish
Resume building and LinkedIn optimisation
Python + full stack interview questions and mock interviews
Placement guidance and next steps

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