You will receive a diploma in a full-stack development course with AI. This course blends modern web technologies and AI to prepare you for the next-gen tech world. You can build innovative, scalable applications using Python, Django, and intelligent systems. It's not just another coding course—it's a refined launchpad into future-ready tech. Designed to equip you with in-demand skills aligned with the evolving tech landscape.
From frontend interfaces to backend logic and AI integration, this full-stack web development course with AI integration teaches you to create complete, intelligent apps using Python, Django, and real-world development practices. You'll walk away with a portfolio that speaks for your skills. Each module is carefully structured to bridge theory with practical, job-ready execution.
Yes—this is not just coding basics. With dedicated Python AI training, you'll learn to build apps that think, recommend, and adapt—giving you a sharp edge in today's tech-driven world. Think of it as giving your code a brain—and your CV, a spotlight. The AI components are thoughtfully integrated to ensure a practical, scalable application.
Whether you're starting fresh or shifting careers, our FSD Python AI course suits anyone wanting to explore full-stack development while unlocking the power of AI using Python and Django. All you need is curiosity—we'll take care of the rest with structured, expert-led learning. It's tailored for learners seeking a robust foundation with a future-focused edge.
Because the future is smart, this course fuses full-stack web development and AI with Python Django into one path—letting you build modern, AI-driven applications that stand out in any tech landscape. It's where clean design meets clever intelligence—and you're in the driver's seat. This combined expertise opens doors to advanced roles across multiple industries.
1. Fundamentals of Programming
2. Logic Building—Simple, Compound, Branch, and Iterative Logics
3. Data Structures—Linear and Non-Linear, Searching and Sorting
4. Analysis of Algorithm—Recursive and Non-Recursive
5. Introduction to Full Stack Development
6. Software Development Life Cycle (SDLC)
7. Agile & Scrum Basics
8. Version Control—Git, GitHub
9. Basics of Cloud & Deployment
10. Introduction to AI-assisted Development (GitHub Copilot, ChatGPT)
1. Data Types, Operators, and Expressions
2. Control Statements (Loops, Conditional Statements)
3. Functions & Modules
4. Object-Oriented Programming (OOP) in Python
5. File Handling
6. Exception Handling
7. AI Tools: AI-driven debugging & testing (DeepCode)
1. Regular Expressions
2. Decorators
3. Generators
4. Working with APIs (REST APIs using `requests`)
5. AI Tools: AI-driven debugging & testing (CodiumAI)
1. Basic SQL Queries—DDL, DML, DCL, TCL, DQL
2. Entity-Relationship Model
3. Normalization
4. Joins and Sub-Queries
5. Views
6. PL/SQL
7. Functions
8. Stored Procedures
9. Triggers
10. MySQL Connector Python
11. AI Tools: SQLGPT, AI2SQL
1. Unit Testing (pytest, unittest)
2. Selenium Basics for Web Testing
3. API Testing with Postman
4. AI Tools: Codium AI, JUnitBot
1. HTML5: Elements, Attributes, Images, Lists, Tables, Links, Forms, Media, iframes, Audio, Video
2. CSS3: Selectors, background, typography, Grid, Flexbox, transition, animations, box shadow, position, float
3. Responsive Design (Bootstrap)
4. JavaScript (ES6+): Variables, Objects, Control Flow Statements, DOM, Events, EventListener, Fetch API
5. Frontend AI Tool: Figma AI, DeepCode
1. Introduction to Bootstrap and setup
2. Grid, Containers, Typography, Box Shadow, Table
3. Badges, Pagination, Carousels, Glyphicons
4. jQuery Notations, DOM elements
5. Bootstrap & jQuery AI tools: Tabnine, Testim
1. React.js—Introduction to JSX, Rendering Elements
2. Components, Props & State in React
3. Lifecycle of Components
4. Conditional Rendering, Event Handling
5. Lists & Keys, forms, Babel, Webpack bundler
6. Introduction to Redux
7. State Management in Redux
8. API Integration: Fetch API, Axios
9. AI-Powered Code Generation: GitHub Copilot, ChatGPT for debugging
1. Setting up Django/Flask Framework
2. Django Models, Views, and Templates (MVT Architecture)
3. CRUD Operations with Django ORM
4. Connecting Django with MySQL
5. RESTful APIs with Django REST Framework (DRF)
6. Authentication & Authorization (JWT, OAuth)
7. AI Tools: GitHub Copilot, Swagger AI
1. Capstone Project
2. Overview of Client Projects and their architecture
3. Full-Stack Application Development
4. Integrating with the backend via REST API
5. Implement API endpoints for CRUD operations
6. CI/CD Integration
7. Testing
Career Guidance
Mock Interviews
Job Readiness Training
Interview Success Training
LinkedIn and Naukri Profile Optimization
Continuous Expert Guidance
I've completed Full stack development using python and mysql. I've gained more knowledge and the guidence from mentor was good.
I recently completed my internship in vytcdc on full stack developement I learned basic python framework and frontend and backend and it is very useful for my project
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Hi, I’m Sree S. I recently completed the Python Full Stack course at VYTCDC Valasaravakkam, and it was a great learning experience. The course covered front-end technologies like HTML, CSS, JavaScript, and Bootstrap, and back-end tools like Python, Django, and MySQL. The content was well-structured, and the trainers were very…
Not necessarily. This full-stack development course with AI welcomes newcomers and those shifting careers. We begin with foundational concepts and progress into advanced AI-enabled development using Python and Django.
Guidance is stepwise, ensuring you never feel lost. Our mentors support you from basics to brilliance, making the learning curve approachable and outcome-driven.
The FSD Python AI course runs for about 4 months. It covers core modules like Python, Django, full-stack web practices, and AI integration. You'll engage in live projects, regular assignments, and mentorship sessions. Designed thoughtfully for busy professionals and freshers alike, it's paced but rigorous, ensuring depth without overwhelming your schedule.
Absolutely. The AI powered full-stack development course includes holistic career preparation—polished resumes, portfolio development, and simulated mock interviews.
We help highlight your Python/AI-built projects through GitHub presentations and LinkedIn branding. You'll feel confident walking into recruiter meetings or pitch sessions with a strong, well-positioned personal brand.
Yes, indeed. Through industry partnerships and internal networks, we connect you with relevant internships aligned to your Python AI skillset.
These opportunities help bridge the learning work gap—real exposure that complements your training and sets the stage for career advancement, often leading to full-time offers.
Absolutely. Demand for graduates of a full-stack development course with AI, or AI powered full-stack development credentials, is burgeoning.
From startups to SaaS firms to enterprise teams, companies are on the lookout for developers who can build full-stack apps enriched with AI logic, making your skillset both relevant and future-proof.
Full-stack developers with AI competency typically earn around ₹6 LPA on average, with experienced mid level roles commanding ₹8–15 LPA and senior AI skilled roles exceeding ₹15 LPA. Compensation varies by city and experience—urban tech hubs offer higher pay. This blend of full-stack and AI expertise is a proven accelerator for earnings, offering both immediate and long-term financial growth in the tech sector. (https://www.upgrad.com/blog/full-stack-developer-salary-india/)
