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Homeβ€Ί Coursesβ€Ί Full Stack + AI Course
πŸ–₯️ Complete Web Development πŸ“ Dilsukhnagar, Hyderabad βœ… Certificate on Completion

Full Stack + AI Course

Build complete web applications from frontend to backend β€” with AI integrated throughout. Master Python (Django/FastAPI), React.js, SQL/NoSQL databases, REST APIs, cloud deployment and AI API integration. Taught by a Senior Software Engineer with 7+ years of experience building production systems at an MNC.

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DURATION
18 Weeks
🎯
LEVEL
Beginner to Advanced
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MODE
Online Β· Offline Β· Hybrid
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CERTIFICATE
Industry Certificate

Tools & Technologies You Will Learn

Python Django FastAPI React.js HTML5/CSS3 JavaScript (ES6+) MySQL PostgreSQL MongoDB Redis Docker AWS basics Git/GitHub OpenAI API REST APIs
Enroll on WhatsApp β†’ View Curriculum
Full Stack + AI Course at LearnAI Tech Hub πŸ–₯️
Free Demo Available
Contact us for current batch fees & EMI options
  • ⏱ Duration: 18 Weeks
  • 🎯 Level: Beginner to Advanced
  • πŸ’» Online Β· Offline Β· Hybrid
  • πŸ† Certificate on completion
  • πŸ’Ό 100% placement assistance
  • πŸ“ Real project + internship
  • πŸ” Lifetime access to recordings
  • πŸ“ž Mentor support throughout

Free career counselling available daily Β· No pressure, just honest advice

Full Stack developers who can integrate AI are the most hired software engineers in 2026

The software development industry has shifted dramatically. Companies do not just want developers who can build CRUD applications β€” they want developers who can integrate AI APIs, build intelligent features and work across the entire stack from database design to frontend user experience. Full Stack developers with AI integration skills are consistently among the most hired and best-paid software engineering profiles across India, UAE and internationally.

At LearnAI Tech Hub, this 18-week programme takes you from programming fundamentals to deploying complete AI-powered web applications. You learn Python backend development (Django and FastAPI), React.js frontend, SQL and NoSQL databases, REST APIs, authentication systems, cloud deployment and AI API integration. Every week produces working code. By week 18, you have a GitHub portfolio of 5 real applications and the technical depth to contribute to any product team.

What makes this course different

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Taught by an MNC Senior Software Engineer building production systems

Every architectural decision, every code pattern and every deployment approach comes from building systems that serve thousands of real users β€” not tutorial examples.

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AI integrated into web applications β€” the 2026 differentiator

Build AI-powered chatbots, AI search, AI content generation and AI recommendation systems into real web applications. This is what separates 2026 full stack developers from 2020 ones.

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Build 5 complete applications during the course

A personal portfolio site, a REST API backend, a React-based frontend application, a full-stack project with database and a capstone AI-powered web application β€” all production-deployed.

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Cloud deployment from week 10 β€” not just localhost

AWS EC2, S3, RDS and basic serverless deployment. You deploy real applications to the internet β€” not just run them locally.

8 modules Β· 18 Weeks Β· Real projects every week

Every module is taught by an active MNC professional using real tools, real datasets and real architectures β€” not textbook examples.

01
Programming Fundamentals & Python
12 topics Β· Weeks 1–2
Python basics: variables, data types, control flow, functions, modules
Object-Oriented Programming: classes, inheritance, encapsulation, polymorphism
Error handling, file I/O and working with external libraries
Git and GitHub: version control fundamentals every developer needs
Command line basics: navigating and working in terminal/shell
Virtual environments and Python dependency management with pip
Project: Python CLI application β€” command line task manager
02
Web Fundamentals β€” HTML, CSS & JavaScript
12 topics Β· Weeks 3–4
HTML5: semantic markup, forms, accessibility best practices
CSS3: flexbox, CSS Grid, responsive design, media queries
CSS frameworks: Bootstrap and Tailwind CSS basics
JavaScript ES6+: variables, functions, arrays, objects, DOM manipulation
Async JavaScript: promises, async/await, fetch API for HTTP requests
Browser developer tools: debugging, network analysis, performance
Project: Responsive personal portfolio website deployed to GitHub Pages
03
React.js β€” Modern Frontend Development
12 topics Β· Weeks 5–6
React fundamentals: JSX, components, props, state, lifecycle methods
React Hooks: useState, useEffect, useContext, custom hooks
React Router: single-page application routing and navigation
State management: Context API and introduction to Redux Toolkit
API integration: connecting React frontend to backend REST APIs
Form handling, validation and user experience patterns
Project: Complete React frontend application β€” e-commerce product listing with filters
04
Python Backend β€” Django & FastAPI
14 topics Β· Weeks 7–9
Django fundamentals: MVT architecture, models, views, templates, admin
Django ORM: querying databases without writing SQL
Django REST Framework: building REST APIs with serialisers and viewsets
FastAPI: high-performance API development with automatic documentation
Authentication: JWT tokens, session authentication, OAuth2 basics
API security: rate limiting, CORS, input validation, SQL injection prevention
Background tasks: Celery for async operations, Redis as message broker
Project: Complete REST API backend for a social media application
05
Databases β€” SQL & NoSQL
10 topics Β· Weeks 10–11
MySQL and PostgreSQL: schema design, relationships, indexes, transactions
Advanced SQL: window functions, stored procedures, query optimisation
MongoDB: document model, CRUD operations, aggregation pipeline
Database design: ER diagrams, normalisation, when to use SQL vs NoSQL
Redis: caching strategies, session storage, pub/sub patterns
Database migrations and version control in Django and FastAPI
Project: Data layer design and implementation for a full-stack application
06
AI Integration in Web Applications
10 topics Β· Weeks 12–13
OpenAI API: chat completions, embeddings, vision for web apps
Anthropic Claude API: integration patterns for enterprise web applications
Building AI chatbots and conversational interfaces in web applications
AI-powered search: semantic search with embeddings and vector databases
AI content generation: integrating GenAI into content management systems
Image generation APIs: integrating DALL-E and Stable Diffusion into web apps
Streaming AI responses: real-time AI output in React frontends
Project: AI-powered web application β€” intelligent content platform with chatbot
07
Cloud Deployment & DevOps Basics
10 topics Β· Weeks 14–15
Linux server basics: file system, permissions, processes, SSH
AWS EC2: launching, configuring and deploying to virtual servers
AWS S3: static file hosting and media storage for web applications
AWS RDS: managed database deployment for production applications
Docker: containerising Python and React applications
Nginx: reverse proxy, load balancing basics, SSL/HTTPS setup
CI/CD basics: GitHub Actions for automated testing and deployment
Project: Full-stack application deployed to AWS β€” accessible on a real domain
08
Advanced Topics & Capstone Project
10 topics Β· Weeks 16–18
WebSockets: real-time features β€” chat, notifications, live updates
Testing: unit tests, integration tests, API testing with pytest
Performance optimisation: database query optimisation, caching, lazy loading
Microservices concepts: when to split applications and how
Capstone project: Full-stack AI-powered application β€” design to production deployment
Code review session: professional feedback on capstone codebase
GitHub portfolio presentation and technical documentation
HR placement referral, mock coding interviews and portfolio review
Get Full Curriculum on WhatsApp β†’

You will graduate using industry tools β€” not toy projects

Every tool in this course is currently used by professionals in live production environments across companies worldwide.

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Python
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Django
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FastAPI
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React.js
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HTML/CSS
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JavaScript
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MySQL
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MongoDB
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Docker
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AWS
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Git
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AI APIs

Roles you will qualify for after this course

Our placement team directly places students from this course into these roles across our 1,000+ client company network β€” startups to Fortune MNCs.

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Full Stack Developer
β‚Ή4.5L – β‚Ή14L / year
IT startups, product companies, agencies, e-commerce, EdTech across India, UAE, Canada
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Python Developer / Backend Engineer
β‚Ή5L – β‚Ή16L / year
SaaS companies, FinTech, data companies, enterprise software firms
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React.js / Frontend Developer
β‚Ή4.5L – β‚Ή14L / year
Product companies, UI/UX-focused startups, e-commerce, digital agencies
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AI Application Developer
β‚Ή7L – β‚Ή20L / year
AI product companies, companies integrating GenAI into existing products
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Software Engineer β€” Cloud Deployed
β‚Ή6L – β‚Ή18L / year
Cloud-native companies, SaaS platforms, enterprise software β€” India, UAE, USA, Canada
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API Developer / Integration Engineer
β‚Ή5L – β‚Ή15L / year
FinTech, healthcare tech, B2B SaaS companies, system integration firms
Average Starting Salary β€” Freshers (Hyderabad)
Based on our placed students Β· 2024–2025 batch data
β‚Ή4L – β‚Ή18L per year

This course is designed for you if…

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Complete beginners with no programming experience

This course starts from Python basics and takes you to deploying full applications. If you can use a computer and have 18 weeks of focused commitment, you can complete this course.

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Data professionals wanting development skills

Data Scientists and Analysts who can also build web interfaces and APIs for their models are dramatically more valuable. This course adds the full-stack capability to your data profile.

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Engineering graduates in any stream wanting software careers

B.Tech graduates from non-CS streams (ECE, EEE, Mechanical, Civil) who want to transition into software development β€” this is the complete, practical pathway.

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Working professionals wanting to switch to software development

One of the most successful career switches available. Full Stack development skills open doors to remote work, international roles and significant salary improvements.

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Developers wanting to add AI integration skills

If you already code but want to integrate AI APIs, build chatbots and create intelligent web features β€” this course adds exactly those capabilities to your existing profile.

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Professionals targeting Canada, UK or UAE tech roles

Full Stack with Python/React is one of the most consistently sponsored visa streams in Canada, UK and UAE. Our abroad consulting team has successfully guided students into these pathways.

Prerequisites

Basic computer literacy Logical thinking β€” no prior coding experience needed Laptop with 8GB+ RAM and stable internet Full commitment β€” 18 weeks is intensive; part-time weekend/evening batches available

Questions about Full Stack + AI Course?

Not finding your answer? WhatsApp us directly β€” we respond within 30 minutes.

Ask on WhatsApp β†’
Because real full stack development cannot be learned in 8 weeks. Courses that promise full stack in 8 weeks either skip important topics (databases, deployment, security, AI integration) or go so fast that students cannot apply what they learn. Our 18-week curriculum matches what real software engineering teams expect from a junior developer.
This course uses Python + FastAPI/Django as the backend instead of Node.js + Express. Python backend is increasingly preferred for AI-integrated applications and is the standard in data-intensive companies. React frontend is the same as MERN. Python Full Stack is one of the most sought-after combinations in the current market.
Yes β€” provided you complete the course with full commitment and build the portfolio projects. Our HR team has placed complete beginners as Junior Software Engineers, Junior React Developers and Python Developers across IT startups and product companies.
Yes. Weekend batches (Saturday–Sunday, 9AM–1PM) and evening batches (7PM–9PM weekdays) are specifically for working professionals. Online mode adds maximum flexibility.
A laptop with 8GB RAM, an internet connection and free storage for development tools is the minimum. 16GB RAM is recommended for running Docker and multiple development environments simultaneously. The course provides cloud-based alternatives for resource-intensive tasks.
You learn to integrate OpenAI (ChatGPT), Anthropic Claude and image generation APIs into real web applications β€” building chatbots, AI search, AI content generation and intelligent features that are the current standard in AI-native product companies.

Enroll in Full Stack + AI Course today

Book your free demo class β€” meet your trainer, see the teaching style, ask everything you want. No commitment, no fees.

πŸ“ Dilsukhnagar, Hyderabad Β· Online across India & Internationally Β· Mon–Sat 9AM–8PM