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Web Development

Python Full Stack AI DevOps

  • Live instructor-led course
  • Internship with live projects
  • Industry-relevant curriculum
  • Online and Offline training available
  • Placement support until you get placed

Advance your web development skills with the Python/Django Fullstack Web Development course at IPSR, the leading Python programming institute in Kerala. Our Python/Django course offers both online and offline classes at our locations in Kochi, Kottayam, and Calicut. Benefit from hands-on training, an industry-relevant curriculum, and placement support until you secure a job. Join the best Python/Django certification course in Kerala and take your career to the next level.

  • Beginner
  • Last updated 01 July, 2025
  • English
  • 6 Months
Course Overview

The Python Full Stack AI DevOps course is a comprehensive, industry-oriented training program designed to equip learners with the knowledge and practical skills required to develop intelligent, modern web applications from scratch. The curriculum covers Python programming, database management with MySQL, front-end development using HTML5, CSS3, JavaScript, and HTMX, full-stack web application development with the Django framework, and modern AI concepts including Prompt Engineering and AI Agents. Students will also gain hands-on experience with industry-standard tools such as Git, GitHub, Docker, Linux, Cookiecutter Django, Gunicorn, Traefik, and cloud platforms including AWS and DigitalOcean for deploying and managing production-ready applications. Through practical coding sessions, AI-assisted development, real-world assignments, mini-projects, and a production-ready capstone project, learners will develop the confidence to design, build, containerize, deploy, and maintain secure, scalable, AI-enabled web applications by following modern software development and DevOps practices.

What you’ll learn
  • Learn Python programming from beginner to advanced level and apply industry-standard coding practices.
  • Build responsive and interactive web applications using HTML5, CSS3, JavaScript, HTMX, and the Django framework.
  • Work with MySQL databases and perform database operations using SQL and Django ORM.
  • Master version control and collaborative development using Git and GitHub.
  • Containerize, manage, and deploy applications using Docker, Linux, Gunicorn, Traefik, and cloud platforms.
  • Understand Prompt Engineering techniques to effectively interact with Large Language Models (LLMs).
  • Build intelligent AI-powered applications by integrating AI Agents and modern AI development workflows into Python projects.
  • Deploy secure, scalable, and production-ready full-stack AI applications using modern DevOps tools and best practices.
Introduction to Version Control, Git Installation and Configuration, Git Repository Management, Staging and Commit Process, Branching and Merging, Remote Repositories, GitHub, Push, Pull and Fetch Operations, Pull Requests, Merge Conflict Resolution, Git Workflow Best Practices.

Introduction to Python, Python Installation and Setup, Python IDEs and Editors, Virtual Environments (venv), Pythonic Coding Practices, Running Python Programs, Comments and Documentation, Input and Output Functions.

Variables, Data Types, Type Casting, Operators, Conditional Statements (if, elif, else), Looping Statements (for, while), Loop Control Statements (break, continue, pass).

Strings, Lists, Tuples, Sets, Dictionaries, String Manipulation, List Comprehensions, Dictionary Comprehensions, Shallow Copy, Deep Copy.

Functions, Function Definition, Function Arguments, Return Values, Variable Scope, Modules and Packages, Importing Modules, Reading and Writing Files, Working with CSV Files, Exception Handling, try, except, else, finally, Raising Exceptions, Custom Exceptions.

Object-Oriented Programming Concepts, Classes, Objects, Constructors, Instance Variables, Methods, Encapsulation, Inheritance, Polymorphism, Method Overriding, Magic Methods.

Lambda Functions, map(), filter(), reduce(), Iterators, Generator Functions, Generator Expressions, Decorators (Introduction), Third-Party Libraries, OS Module, Pathlib, Datetime, Math, Random, JSON, Real-World Utility Programs.

Introduction to Database Systems, Relational Databases, MySQL Installation, SQL Fundamentals, CRUD Operations, Constraints, Aggregate Functions, GROUP BY, HAVING, Joins, Subqueries, Views, Stored Procedures, Transactions, Connecting Python with MySQL.

HTML5, Semantic HTML, Forms, Tables, Multimedia Elements, CSS3, Selectors, Box Model, Flexbox, CSS Grid, Responsive Design, Media Queries, JavaScript Fundamentals, Variables, Data Types, Operators, Functions, Events, DOM Manipulation, Form Validation, Fetch API, HTMX.

Introduction to Docker, Docker Installation, Docker Architecture, Images, Containers, Dockerfile, Docker Compose, YAML Configuration, Docker Networks, Docker Volumes, Docker Build, Docker Compose Up, Docker Compose Down, Docker Compose Down -v, Container Lifecycle Management, Web Containers, Web Servers, Containerizing Python Applications.

Introduction to Django, Django Architecture, Project Structure, Applications, URL Routing, Views, Templates, Models, Django ORM, Migrations, Admin Panel, CRUD Operations, Django Forms, Model Forms, User Authentication, Authorization, Sessions, Static Files, Media Files, File Upload, Class-Based Views, Pagination, Search, Filtering, Email Integration, Report Generation (PDF and Excel).

Introduction to Cookiecutter Django, Project Creation, Project Structure, Local Development Environment, Production Environment, Environment Variables, Configuration Management, Django Settings, Logging, Security Best Practices.

Introduction to Artificial Intelligence and Generative AI, Large Language Models (LLMs), Understanding Prompts, Prompt Engineering Fundamentals, Prompt Design Techniques, Zero-shot Prompting, One-shot Prompting, Few-shot Prompting, Chain-of-Thought Prompting, Role-based Prompting, Prompt Optimization, Prompt Evaluation, AI-Assisted Coding, AI Tools for Software Development, Introduction to AI Agents, Components of AI Agents, Agent Workflows, Planning and Reasoning, Tool Calling, Memory in AI Agents, Building AI Agents using Python, Integrating LLM APIs, Multi-Agent Concepts, AI Agent Frameworks (LangChain, LangGraph, CrewAI – Introduction), Automating Development Tasks using AI Agents, Best Practices, Security, Ethics, and Real-World Applications.

Linux Introduction, Linux File System, pwd, ls, ls -a, cd, mkdir, cp, mv, rm, cat, nano, vim, chmod, chown, File Permissions, Shell Scripting, SSH, SCP, TFTP, Process Management, Package Management.

Reverse Proxy Concepts, SSL/TLS, HTTPS Configuration, Traefik, Nginx, Gunicorn, Process Management, Service Configuration, Cloud Server Setup, VPS Configuration, DigitalOcean Deployment, AWS EC2, Amazon S3, Amazon RDS, IAM, Domain Registration, DNS Configuration, IP Mapping, Firewall Configuration, SSL Certificate Installation, Deploying Django Applications.

Project Planning, Git-Based Team Collaboration, Database Design, Front-End Development, Django Backend Development, Docker Containerization, Production Deployment, Domain Configuration, SSL Implementation, Final Project Presentation.

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Chief Technology Officer
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Research Engineer
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Sumitha T

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Frequently Asked Questions

Anyone with basic computer knowledge, including students, graduates, job seekers, and working professionals interested in Python Full Stack AI DevOps and modern software development.

No prior programming experience is required. The course starts with Python fundamentals and gradually progresses to full-stack development, AI, and DevOps concepts.

You will learn Python, Git, GitHub, MySQL, HTML5, CSS3, JavaScript, HTMX, Django, Prompt Engineering, AI Agents, Docker, Linux, Cookiecutter Django, Gunicorn, Traefik, AWS, and DigitalOcean.

Yes. The course includes Prompt Engineering, Large Language Models (LLMs), AI Agents, AI-assisted development, and integrating AI capabilities into Python applications.

The course is highly practical and includes coding exercises, hands-on labs, real-world assignments, mini-projects, and a production-ready capstone project.

Yes. You will develop full-stack web applications, integrate AI features, containerize them using Docker, and deploy them to cloud platforms using modern DevOps practices.

Yes. A course completion certificate will be awarded upon successfully completing the training, practical exercises, and project requirements.

After completing this course, you can pursue roles such as Python Developer, Django Developer, Python Full Stack Developer, AI Application Developer, Prompt Engineer, Junior AI Engineer, DevOps Engineer, Backend Developer, or Software Engineer.
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