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Full Stack Web Development with AI Integration Full Stack Web Development with AI Integration
Full Stack Web Development with AI Integration Full Stack Web Development with AI Integration

Full Stack Web Development with AI Integration

A comprehensive course covering frontend and backend development, databases, APIs, and AI integration using modern technologies like React.

Expert Instructor

Mayur Tembhare
Mayur Tembhare

Mayur Tembhare is a Full Stack Web Developer and AI enthusiast with extensive experi…

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Course Description

This course is designed to provide hands-on experience in full-stack web development while incorporating AI-powered functionalities. Learners will start with the fundamentals of web technologies, progressing through database management, backend services, and API development. The course also covers DevOps practices, cloud deployment, and AI integration. By the end, students will have built scalable applications and be industry-ready.

Course Format

Self-Paced Learning

Learn at your own pace with pre-recorded lectures and structured modules.

Live Instructor-Led Sessions

Interactive live classes with real-time Q&A and mentor guidance.

Project-Based Learning

Hands-on projects to apply concepts in real-world scenarios.

Hybrid Learning (Self-Paced + Live Sessions)

Combination of self-paced modules and live instructor-led classes for a balanced learning experience.

Bootcamp Model

Intensive, fast-paced learning experience with structured schedules.

Prerequisites

Basic Programming Knowledge

Why it matters: Essential for writing and understanding code logic throughout the course.

Understanding variables, loops, functions, and data structures in any language like Python, JavaScript, or C.

Web Fundamentals

Why it matters: Important for working with frontend development and integrating with backend services.

Basic knowledge of HTML and CSS to understand web page structures.

Git & Version Control

Why it matters: Helps in managing projects, collaborating with teams, and tracking code changes.

Familiarity with Git commands like cloning, committing, branching, and using GitHub.

Command Line Basics

Why it matters: Needed for running development servers, managing packages, and deploying applications.

Ability to navigate directories and run commands in the terminal (Linux/macOS) or Command Prompt (Windows).

Basic SQL Knowledge

Why it matters: Important for database management in full-stack applications.

Understanding SQL queries (SELECT, INSERT, UPDATE, DELETE) and relational databases like MySQL or PostgreSQL.

Basic JavaScript

Why it matters: Useful for frontend interactions and working with frameworks like React or Express.js.

Knowledge of ES6+ features like arrow functions, promises, and basic DOM manipulation.

Python Fundamentals

Why it matters: Required for working with Django, Flask, or AI/ML-related modules.

Understanding Python syntax, lists, dictionaries, and basic scripting.

Course Outline

Evolution of Web Technologies

Web 1.0: Static Websites and Early Internet
Web 2.0: Dynamic Content and Social Media Revolution
Web 3.0: AI, Blockchain, and the Decentralized Web
Future Trends in Web Development
Progressive Web Apps (PWAs) and WebAssembly

Introduction to Web Development Stack

Understanding Frontend vs. Backend vs. Full-Stack Development
Overview of Tech Stacks (MERN, MEAN, LAMP, JAMstack)
Choosing the Right Stack for a Project
Microservices Architecture and Serverless Computing

Installing Required Software

Text Editors and IDEs (VS Code, Sublime, JetBrains)
Web Browsers and Developer Tools
Installing Node.js and Package Managers (NPM/Yarn)
Docker and Containerization for Development

Introduction to Command Line Interface (CLI)

Basic Terminal Commands (cd, ls, mkdir, rm)
File and Directory Navigation
Running Scripts and Package Management
Shell Scripting and Process Automation

Basics of Git

Initializing a Git Repository
Git Commit, Status, and Log Commands
Understanding .gitignore and Staging
Git Hooks and Automating Workflows

Working with Remote Repositories (GitHub)

Creating and Cloning GitHub Repositories
Pushing and Pulling Changes
Managing SSH Keys for Secure Access
GitHub Actions and CI/CD Pipelines

Branching and Merging

Creating and Switching Branches
Merging and Resolving Conflicts
Rebasing vs. Merging
Git Reflog and Undoing Mistakes

HTML Document Structure

HTML Boilerplate and DOCTYPE Declaration
Head, Body, Meta Tags, and Semantic Elements
HTML5 APIs (Geolocation, WebSockets, Local Storage)
Headings, Paragraphs, and Lists
Form Validation and Accessibility

Common HTML Elements

Links, Images, and Tables
SVG and Canvas for Graphics

HTML Forms and Input Handling

Form Elements (input, textarea, select, button)
Custom Form Controls and Web Components

Introduction to CSS

CSS Syntax and Selectors
Inline, Internal, and External CSS
CSS Variables and Custom Properties

Styling and Layout

Box Model and Positioning
Flexbox and Grid Layout
CSS Houdini and Advanced Animations

Media Queries

Introduction to Media Queries (min-width, max-width)
Mobile-First vs. Desktop-First Approach
Breakpoints and Responsive Design Best Practices
Using CSS Variables and Container Queries for Responsive Design

CSS Frameworks (Bootstrap, Tailwind CSS)

Introduction to Bootstrap (Grid System, Components)
Introduction to Tailwind CSS (Utility-First Approach)
Customizing Frameworks for Project Needs
Optimizing Performance with PurgeCSS and Tree Shaking

Variables and Data Types

var, let, const, and Data Type Overview
Type Conversion and Type Coercion
Memory Management and Garbage Collection

Operators and Expressions

Arithmetic, Logical, and Comparison Operators
Short-Circuiting and Ternary Operators
Bitwise Operators and Performance Optimization

Control Flow (Loops and Conditions)

If-Else and Switch Statements
Loops (for, while, do-while)
Recursion and Tail Call Optimization

Function Definitions and Callbacks

Declaring Functions (Function Expressions vs. Function Declarations)
Higher-Order Functions and Callbacks
Synchronous vs. Asynchronous Execution
Function Currying and Debouncing

Object-Oriented JavaScript

Understanding Objects and Prototypes
Constructor Functions and the this Keyword
ES6 Classes and Inheritance
Mixins and Prototype Chain Performance Optimization

ES6 Features (Arrow Functions, Spread Operator, Destructuring)

Arrow Functions and Lexical this
Rest and Spread Operators
Object and Array Destructuring
Generators, Iterators, and Advanced ES6 Patterns

Selecting and Modifying Elements

Querying Elements (getElementById, querySelector)
Modifying Content (innerText, innerHTML, textContent)
Adding and Removing Elements (appendChild, removeChild)
Virtual DOM and Shadow DOM

Event Handling and Listeners

Adding Event Listeners (addEventListener)
Event Delegation and Bubbling
Preventing Default Behavior (preventDefault, stopPropagation)
Custom Events and Event Emitters

Animations and Dynamic Content

CSS Animations vs. JavaScript Animations (requestAnimationFrame)
Using the Web Animations API
Creating Interactive UI Components
GSAP and Three.js for Advanced Animations

Why React?

Virtual DOM and One-Way Data Binding
Component-Based Architecture
Reconciliation Algorithm and React Fiber

React Components and Props

Functional vs. Class Components
Props and Prop Drilling
Higher-Order Components (HOCs)

State Management in React

useState Hook and State Updates
Lifting State Up
Redux and Context API for State Management

React Hooks

Introduction to Hooks (useState, useEffect)
Custom Hooks and Reusability
useContext for State Management
Performance Optimization with useMemo and useCallback

Routing with React Router

Setting Up React Router (react-router-dom)
Dynamic Routes and Route Parameters
Nested Routes and Redirects
Lazy Loading and Code Splitting in Routing

API Calls using Fetch and Axios

Fetching Data with fetch API and Axios
Handling Loading and Errors
Using async/await for API Requests
Server-Side Rendering (SSR) and Data Fetching Strategies

Setting up a Node.js Server

Installing Express.js and Creating a Server
Handling Requests and Responses
WebSockets and Real-Time Communication

Handling HTTP Requests

GET, POST, PUT, DELETE Methods
Query Parameters and URL Routing
Rate Limiting and API Security

Middleware and Routing in Express.js

Express Middleware and Request Handling
Implementing Route Handlers
Server-Side Rendering (SSR) with Express.js

Introduction to SQL

Understanding Relational Databases
SQL Queries (SELECT, INSERT, UPDATE, DELETE)
Indexing and Query Optimization
Transactions, ACID Properties, and Stored Procedures

Introduction to MongoDB

NoSQL vs. SQL: Key Differences
MongoDB Collections and Documents
Querying Data with MongoDB (find, update, aggregate)
Sharding and Replication for Scalable NoSQL Databases

Performing CRUD Operations

Implementing CRUD in SQL (MySQL, PostgreSQL)
Performing CRUD in MongoDB (Mongoose for Node.js)
Handling Errors and Validations
Optimizing Bulk Operations and Data Indexing

API Endpoints and HTTP Methods

REST Principles and URL Structuring
HTTP Methods and Status Codes
GraphQL vs. REST

Authentication and Authorization

JWT and OAuth Authentication
Role-Based Access Control (RBAC)
OAuth 2.0 and OpenID Connect

Testing APIs using Postman

Sending Requests and Viewing Responses
Writing Automated Tests for APIs
API Performance Monitoring

Introduction to AI and its Subfields

Machine Learning vs. Deep Learning
AI Applications in Web Development
Edge AI and On-Device Machine Learning

Supervised and Unsupervised Learning

Regression vs. Classification
Clustering Techniques
Reinforcement Learning

Python Libraries for AI (NumPy, Pandas, Scikit-learn)

Data Manipulation with NumPy Arrays
Data Cleaning and Processing with Pandas
Machine Learning Algorithms using Scikit-learn
Handling Large Datasets and Performance Optimization in ML

Chatbots and NLP

Introduction to Natural Language Processing (NLP)
Implementing Chatbots with NLP Libraries (NLTK, spaCy)
Integrating AI Chatbots with Web Applications
Deploying Large Language Models (LLMs) for Conversational AI

Sentiment Analysis

Understanding Sentiment Analysis Techniques
Training Sentiment Classifiers with ML Models
Using Pre-trained Sentiment Models (VADER, TextBlob)
Fine-Tuning Transformer Models (BERT, GPT) for Sentiment Analysis

Recommendation Systems

Types of Recommendation Systems (Collaborative Filtering, Content-Based)
Implementing Recommendations using Surprise and TensorFlow
Enhancing Personalization in Web Applications
Hybrid Recommendation Models for Large-Scale Applications

Creating RESTful APIs for AI Models

Exposing AI Models as Web APIs (Flask, FastAPI)
Handling API Requests and Responses
Securing AI APIs with Authentication and Rate Limiting
Deploying AI APIs with Kubernetes and Microservices Architecture

Saving and Loading ML Models

Exporting Models Using Pickle and Joblib
Model Serialization for Deployment
TensorFlow.js for In-Browser Machine Learning

Consuming AI APIs in Frontend Applications

Fetching AI Predictions in Web Apps
Integrating AI with React.js
WebAssembly for Running AI Models in the Browser

Caching Strategies

Introduction to Caching (Client-Side vs. Server-Side)
Implementing Caching with Redis and Memcached
Edge Caching with CDNs for Faster AI Model Delivery
Cache Invalidation Strategies and Adaptive Caching

Load Balancing and Scalability

Load Balancing Techniques (Round Robin, Least Connections)
Horizontal vs. Vertical Scaling for AI Workloads
Auto-Scaling AI Applications in Cloud Environments (AWS, GCP, Azure)
Distributed Computing and Model Parallelism for AI Scalability

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Skills You'll Learn

Frontend Development with React.js

Backend Development with Django and Flask

RESTful API Design and Development

Database Management with SQL (MySQL, PostgreSQL)

Version Control with Git and GitHub

AI Integration in Web Applications

DevOps and Cloud Deployment

JavaScript (ES6+) and Modern Web Development

Command Line and Shell Scripting

Authentication and Authorization (JWT, OAuth)

Unit Testing and Debugging

Web Performance Optimization

Agile Development and Project Management

Technical Interview Preparation

Building Scalable Full-Stack Applications

Tools & Technologies

vscode-original

vscode-original

tailwindcss-original

tailwindcss-original

react-original

react-original

python-original

python-original

html5-original

html5-original

gitlab-original

gitlab-original

github-original

github-original

css3-original-wordmark

css3-original-wordmark

Industry Projects

AI-Powered Chatbot for Customer Support

Blockchain-Based Secure Voting System

Program Instructors

Mayur Tembhare

Mayur Tembhare

Mayur Tembhare is a Full Stack Web Developer and AI enthusiast with extensive experience in building scalable web applications. With expertise in Python, Django, JavaScript, and AI-driven technologies, he has worked on various projects integrating machine learning models into web applications. Mayur is passionate about education technology and has contributed to multiple EdTech platforms. He enjoys working with cloud computing, automation, and modern web frameworks to create innovative digital solutions.

Why Choose This Course?

45%

Approximately 45% of tech professionals in India are upskilling in AI technologies to enhance their web development capabilities.

20,000+

Over 20,000 students have enrolled in courses combining full stack development and AI in the past year, indicating a growing trend towards integrated learning.

22%

The demand for full stack developers with AI expertise has increased by 22% over the last two years, as companies seek versatile skill sets.

35%

Freelancers constitute 35% of the learners in AI-integrated web development courses, showcasing a shift towards independent, AI-driven projects.

Companies Hiring

perplexity

perplexity

openai

openai

microsoft

microsoft

meta

meta

google

google

facebook

facebook

adobe-icon

adobe-icon

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  • Comprehensive curriculum
  • Practical learning through projects
  • Expert guidance from professionals
  • Boost career prospects
  • Recognized certification

Enrollment Requirements

A bachelor's degree with an average of 50 percent or higher marks.

Basic understanding of mathematics and programming concepts.

Preferably, 2+ years of formal work experience.

Past Cohorts

FSWD-AI Evolve 2026

Start DateMay 10, 2026
Class Time6:00 AM
Schedule Weekday Batch
Apply Now

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Frequently Asked Questions

This course is designed for beginners, intermediate learners, and professionals who want to master full-stack web development. Whether you're a student, aspiring developer, or working professional looking to upskill, this course has something for you.

You will learn Django, Flask, Express.js, PostgreSQL, MongoDB, Docker, CI/CD, AWS, and more. The course covers both front-end and back-end development, including API design, authentication, security, and deployment.

Basic programming knowledge (Python, JavaScript) is helpful but not mandatory. The course starts from the fundamentals and gradually moves to advanced concepts, ensuring a smooth learning curve.

Yes! The course includes multiple real-world projects where you will apply what you’ve learned by building fully functional web applications from scratch.

The course includes quizzes, coding assignments, project-based evaluations, and a final capstone project to test your skills and prepare you for real-world challenges.

Yes! Upon successful completion, you will receive a certificate of completion that you can showcase on LinkedIn, your resume, or portfolio.

The course is designed to be completed in 6 months, but you can learn at your own pace. Each module is structured with weekly learning goals.

You’ll get access to discussion forums, mentorship support, and a private community where you can ask questions, collaborate, and get help from instructors and fellow learners.

Yes! We offer a 7-day money-back guarantee if you’re not satisfied with the course.

Click on the "Enroll & Build Your First Project!" button and follow the steps to get started.

FAQ

Course enrollment questions

Open the course page and click Enroll. Free courses activate immediately; paid courses use secure online payment.

Courses are published by educators, institutions, and Shalyam partners. Each course page lists the instructor or provider.

Paid enrollments may qualify for a refund within 7 days if minimal content was accessed. See our Refund Policy for details.

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